RU2777984C9 - Methods and devices for analytical measurement based on color-forming reaction - Google Patents

Abstract

FIELD: measuring equipment.

SUBSTANCE: group of inventions relates to technologies of assessment of suitability of a mobile device with at least one camera for analytical measurement based on a color-forming reaction. A method is proposed for the assessment of suitability of a mobile device with at least one camera for analytical measurement based on a color-forming reaction. According to the method, at least one mobile device has at least one camera. At least one object has at least one reference color field. At least one image of at least part of the reference color field is shot with the camera. At least one element of information about a color resolution is obtained by means of the image. At least one element of information about the color resolution includes one or several numerical values quantitatively expressing the capacity of resolution of two or more colors. Next, at least one element of information about the color resolution is compared with at least one threshold value for the determination of at least one element of information about the suitability of the mobile device for analytical measurement based on a color-forming reaction.

EFFECT: increase in the accuracy of analytical measurement based on a color-forming reaction.

11 cl, 10 dwg

Description

Field of technology to which the invention relates

The invention relates generally to a method for assessing the suitability of a mobile device having at least one camera for carrying out an analytical measurement based on a colour-forming reaction. The invention also relates to a method for carrying out an analytical measurement based on a colour-forming reaction, to a computer program and to a mobile device for carrying out an analytical measurement based on a colour-forming reaction, as well as to a kit for carrying out an analytical measurement. Such methods, devices or applications are used, in particular, for determining the concentration of glucose in the blood. In principle, as an alternative to or in addition to determining glucose, the invention can also be implemented in relation to determining one or more other types of analytes, i.e. analytes, in particular to determining one or more metabolites.

State of the art

A number of different devices and methods for determining one or more analytes in physiological fluids, such as blood, urine, interstitial fluid and saliva, are known from the prior art. In the present description, the invention is considered using the specific example of blood glucose measurements, which does not limit the scope of protection of the invention. At the same time, it should be noted that the present invention can also be used in relation to other types of analytical measurements using test elements.

Various test elements are known from the state of the art, which contain at least one indicator reagent, also called a test reagent, in which a coloring reaction takes place in the presence of at least one analyte to be determined. Some basic principles concerning test elements and reagents, which can also be used in the context of implementing the present invention, are described, for example, in the work by J. Hones et al.: "Diabetes Technology and Therapeutics", Volume 10, Supplement 1, 2008, pp. 10-26.

One technical problem that is relevant in the field of analytical measurements based on color-forming (staining) reactions is the assessment of the color change caused by the indicator reaction. In recent years, along with specialized analytical devices such as portable blood glucose meters (glucometers), the use of general-purpose electronic devices such as smartphones and laptops for this purpose has become increasingly popular.

Thus, in the publication WO 2012/131386 A1 an analytical system for carrying out an analysis is disclosed, comprising: a container containing a reagent capable of entering into a chemical reaction with an applied sample of the analyte, manifested by a change in color or color scheme; a portable device, for example a mobile phone or a laptop computer, containing a processor and an image capture device, wherein the processor is designed with the possibility of processing data obtained by the image capture device and outputting the result of the analysis of the applied sample of the analyte.

Similarly, WO 2014/025415 A2 discloses a method and device for performing analysis of biological materials based on a color reaction. The method includes capturing and interpreting digital images of an instrument before and after interaction with a sample of the material under study in an automatically calibrated environment. The instrument comprises a unique identification mark (UID), a reference color band (RCB) providing samples of standardized colors for color calibration of the image, and several test-specific sequences of analytical sites (CPS). The method also includes finding the instrument in the image, extracting the UID, extracting the RCB, and finding several CPS in each image. The method also ensures image noise reduction in the CPS and automatic image calibration in accordance with illumination measurements performed on the RCB. The method also ensures determination of analysis results by comparing the color of the CPS image with the colors in the manufacturer's color interpretation scale (MICC). The method allows presenting these results in graphical or numerical form.

Publication EP 1801568 A1 discloses a test strip and a method for measuring the concentration of an analyte in a sample of biological fluid. The method involves positioning a camera at the test strip for graphically recording a color indicator and a reference color area. For this relative position between the camera and the strip, the measured value is determined and compared with the required range of values. The camera is moved, reducing the deviation relative to the strip caused by the discrepancy between the measured value and the required value. In the color image captured by the camera, the image area associated with the indicator is isolated. Based on the result of the comparison, the concentration of the analyte in the sample is determined.

Publication EP 1963828 B1 discloses a method for measuring the concentration of at least one analyte contained in a sample of a biological fluid, characterized in that: a) a test strip is prepared having at least one test point, at least one time indicator and at least one reference color range including white and/or a color scale, b) the liquid sample is brought into contact with the test point and the time indicator, c) a color indicator is located at the test point, which depends on the concentration of the analyte, d) the color of the time indicator changes depending on the length of time during which the liquid is in contact with the test point, and regardless of the concentration of at least one analyte, d) a chamber is located on the test strip, e) at least one measured value of the relative position between the chamber and the test strip is determined and this value is compared with a nominal range of values, g) if there is a discrepancy between the measured value and the nominal range of values, the chamber is moved relative to test strips for reducing this discrepancy, and steps e) and g) are repeated, h) a camera is used to record a color image in which at least a color indicator, a time indicator and a reference color gamut are displayed, i) image areas associated with the color indicator, the time indicator and the reference color gamut are found on the color image, and the color values of these image areas are determined, j) the length of time between bringing the liquid sample into contact with the test point and the recording of the color image is determined based on the color value determined for the time indicator, using specified reference values, and k) the concentration of the analyte in the sample is determined based on the color values determined for the color indicator and the reference color gamut, and based on the length of time, using specified control values.

In addition, publication US 2012/189509 A1 discloses a method for automatic analysis for test strips, comprising the following steps: providing a test strip having at least a reaction region and an image calibration region; capturing an image of the test strip; analyzing the image to obtain a first image signal representing the image calibration region and a second image signal representing the reaction region; comparing the first image signal with a standard signal to obtain image signal calibration parameters; calibrating the second image signal by applying the image signal calibration parameters to obtain a third image signal; and comparing the third image signal with data stored in a database to obtain corresponding parameter values.

Publications EP 2916117 A1 and US 2015/308961 A1 describe the quantification of the color of assay pads and titration of analytes that can be performed under different illumination conditions. In one embodiment, the illumination conditions under which a digital image is captured are assessed and these conditions are used to select a set of reference colors from which the qualified color is compared to determine the titer. In another embodiment, several comparisons are performed under different illumination conditions, and the result with the highest confidence level is selected to determine the titer.

Publication US 2014/154789 A1 discloses an analytical system for conducting an analysis. The analytical system includes: a container containing a reagent capable of entering into a chemical reaction with an applied sample of the analyte, which is manifested by a change in color or color scheme; a portable device, such as a mobile phone or a laptop computer, containing a processor and an image capture device, wherein the processor is configured to process data obtained by the image capture device and output the result of the analysis of the sample of the analyte applied to the reagent.

In addition, publication US 2014/072189 A1 describes a system and method for analyzing colorimetric test strips and managing the course of a disease. The system may include an accessory operatively connected to a mobile device capable of receiving and/or analyzing images of colorimetric test strips. The accessory in the form of a lightbox may be removablely attached to the mobile device or may remain permanently attached to the mobile device but with the ability to remove it from the field of view of the camera for normal shooting. In other embodiments, an image containing known calibration color(s) and reagent area(s) is obtained without a lightbox for comparison with a previous calibration image to simulate changes in ambient lighting conditions and determine a color correction function. The correction can be applied to the registered reagent area color(s) to match the registered reagent area color(s) with the reference color(s) on the reference color map. Optionally, the corresponding information can be processed and displayed to provide feedback and transmitted to the healthcare professional for analysis.

In addition, US 2013/267032 A1 describes a test strip for analyzing samples to determine a characteristic of an analyte in a sample. The test strip has a reaction area for applying the sample to be tested and a color calibration area for determining the color or color and its intensity in the reaction area after applying the sample thereto. The test strip may also contain a temperature indication area for correcting the result of measuring the characteristic of the analyte.

Further, in the publication US 2016/260215 A1, methods and electronic devices for performing the analysis of biological materials based on a color reaction are described. The method includes capturing and interpreting digital images of a plate before and after interaction with a sample of the material under study at different delay times in an automatically calibrated environment. The analytical plate contains a unique identification mark (UID), a reference color bar (RCB) providing samples of standardized colors for color calibration of the image, and several test-specific sequences of analytical sites (SRPs). The method also includes determining the position of the plate in the image, extracting the UID and validating the plate, extracting the RCBs and finding several SRPs in each image. The method also ensures reducing image noise in the SRPs and automatically calibrating the image in accordance with the illuminance measurements performed on the RCB. To determine the results of the analysis, the method also provides for determining several distances between the SRP and its possible trajectory in the color space described in the manufacturer's color interpretation scale (MICC).

Despite the advantages associated with the use of consumer electronics devices with a camera for the purpose of evaluating analytical measurements, several technical problems remain. Thus, even with the known, for example from WO 2014/025415 A2, method of online calibration using test elements with reference color stripes, the error of analytical measurement in general depends on many technical factors that are not yet taken into account when evaluating the measurement results. In particular, a huge number of mobile devices equipped with cameras are offered on the market, and they all have different technical and optical characteristics that must be taken into account for analytical measurement. Some of the mobile devices, although capable of capturing images of the test element, may be completely unsuitable for analytical measurements. Problems also consist in the fact that calibration measurements performed online are quite complex and time-consuming. However, computer time and resources for data processing, in particular, are critically important, especially when performing measurements with portable devices.

Problem to be solved

Therefore, it is required to propose methods and devices that solve the above-mentioned technical problems of analytical measurements using mobile devices, such as mobile consumer electronics devices, in particular multi-purpose mobile devices that are not specifically designed for analytical measurements, such as smartphones or tablet computers. In particular, it is required to propose methods and devices that could be widely used with existing mobile devices and would be suitable for increasing the accuracy of measurements and user convenience. Disclosure of the essence of the invention

This task is solved in methods and devices characterized by the features of independent claims of the invention formula. Preferred embodiments of the invention, which can be realized separately or in any combination, are indicated in dependent claims of the invention formula.

In the text of the description and claims, the terms "has", "comprises", "includes" or any grammatical variations thereof are used in a non-exclusive manner, leaving the corresponding wording open. Thus, these terms may be used both in a situation in which the corresponding object in the context of the invention does not have any other features except for the feature introduced by these terms, and in a situation in which one or more other features are also present. For example, the expressions "A has B", "A contains B" and "A includes B" may be used both in a situation in which object A does not have other elements except for B (i.e. in a situation in which A consists of B and only of B), and in a situation in which object A, in addition to B, has one or more other elements, for example, element C, elements D and E or other additional elements.

It should further be noted that the expressions "at least one", "one or more" or similar expressions indicating that one or more features or elements may be involved are generally used only once below - when introducing the relevant feature or element. In most cases, when subsequently indicating the relevant feature or element, the expressions "at least one" or "one or more" are not repeated, despite the fact that one or more relevant features or elements may be involved.

Further, in the text below, the expressions "preferably", "more preferably", "especially", "preferably", "in particular", "primarily" or similar expressions are used with respect to optional features, without limiting the alternative possibilities. Therefore, the features introduced by these expressions are optional, i.e. not mandatory, and it is assumed that they in no way limit the scope of patent claims. As should be clear to a person skilled in the art, the invention can be implemented using alternative features. Similarly, the features introduced by the expression "in one embodiment of the invention" or similar expressions are assumed to be optional and do not imply any limitations with respect to alternative embodiments of the invention, with respect to the scope of legal protection of the invention and with respect to the possibilities of combining the features thus introduced with other optional or mandatory features of the invention.

In the first aspect of the invention, a method is proposed for assessing the suitability of a mobile device having at least one camera for the purpose of performing an analytical measurement based on a color-forming reaction, for example, using at least one indicator reagent described above. The method includes the steps discussed below, which, for example, can be performed in the specified order. However, it should be noted that another order of performing the corresponding actions is also possible. In addition, it is also possible to perform one or more steps of the method once or repeatedly. In addition, two or more steps of the method can be performed simultaneously or with an overlap in time. The method can also include other steps not specified in the list.

The method proposed in the invention includes the following steps:

a) providing at least one mobile device having at least one camera;

b) providing at least one object having at least one reference color field;

c) capturing with the camera at least one image of at least a portion of the reference color field; and

(d) obtaining, by means of an image, at least one element of information about the color resolution.

The term "mobile device" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to a mobile electronic device, namely a mobile communication device such as a cellular telephone or a smartphone. In addition to or as an alternative to a mobile communication device, as described in more detail below, a mobile device may also refer to a tablet computer or other type of portable computer having at least one camera.

The term "camera" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to a device having at least one imaging element configured to record or capture spatially resolved optical information in one, two or even three dimensions. For example, a camera may comprise at least one integrated circuit of an image signal generator, such as at least one integrated circuit on charge-coupled devices (CCD) and/or at least one integrated circuit with a CMOS structure configured to record an image. In this context, without limitation, the term "image" may refer, in particular, to data recorded by the camera, such as a plurality of electronic values obtained from the image generator, in particular to the pixels of the integrated circuit of the camera. Thus, the image itself may contain pixels that correspond to pixels in the camera's image-forming integrated circuit.

The camera, in addition to at least one image sensor or an integrated circuit that forms an image, may comprise additional elements, such as one or more optical elements, such as one or more lenses. For example, the camera may be a fixed-focus camera, having at least one lens that is fixedly positioned relative to the image receiver. However, as an alternative, the camera may also comprise one or more variable lenses that can be adjusted automatically or manually. The camera may, in particular, be built into a mobile device.

The term "suitability" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person skilled in the art and should not be limited to any particular or specialized meaning. In particular, the term may refer, without limitation, to a property of an element or device that characterizes its ability to perform one or more specified functions. Thus, for example, suitability may be expressed qualitatively or quantitatively using one or more characteristic parameters of the device. These one or more characteristic parameters, as described in more detail below, may be compared, individually or in a specified combination, with one or more conditions. As a simple example, individual parameters or one or more of the parameters may be compared with one or more control values, reference values or standard values, where such comparison may be qualitative or quantitative and may yield a binary result, such as "suitable" or "unsuitable"/"unsuitable". For example, at least one control or reference value may include at least one threshold value, as described in more detail below. However, in addition to or as an alternative to a binary result, the comparison may yield a quantitative result, such as a number indicating the degree of suitability. Control values, reference values, or standard values may be derived, for example, from experiments or from boundary conditions determined, for example, by the required accuracy.

The term "analytical measurement" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to the qualitative and/or quantitative determination of at least one analyte in a sample or specimen of a substance. The result of an analytical measurement may be, for example, the concentration of the analyte and/or the presence or absence of the analyte being determined.

At least one analyte, for example, may be or may include one or more specific chemical compounds and/or other parameters. For example, one or more analytes involved in metabolism, such as blood glucose, may be determined. In addition to blood glucose or as an alternative thereto, other types of analytes or parameters, such as a pH value, may be determined. At least one sample, in particular, may be or may include at least one physiological fluid, such as blood, interstitial fluid, urine, saliva, etc. However, in addition to a physiological fluid or as an alternative thereto, samples of other types of substances, such as water, may be used.

The term "color-forming reaction" in this context is a broad term to be interpreted in its usual meaning, familiar to the average person skilled in the art, and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to a chemical, biological or physical reaction during which, during its course, the color of at least one element participating in the reaction changes, in particular its reflectivity. Thus, for example, reference may be made to the above-mentioned biochemical reactions commonly used to determine glucose in blood by color change. The person skilled in the art is also familiar with other types of color-changing or color-forming reactions, such as typical chemical reactions for determining the pH value.

At least one object, as described in more detail below, may be an arbitrary object having at least one reference color field integrated into it, located on it, or attached to it. For example, at least one reference color field may be printed on at least one visible surface of the object.

The term "reference color field" in this context is a broad term to be interpreted in its usual meaning familiar to an average person skilled in the art and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to an arbitrary two-dimensional region or area having a given color with known properties. Thus, for example, for at least one reference color field, one color coordinate, more than one color coordinate, or all color coordinates may be known in accordance with at least one standard coordinate system. For example, at least one reference color field may have the shape of a rectangle, circle, oval, or polygon of uniform color. An object may contain one reference color field or several reference color fields, for example several reference color fields having different colors.

The shooting of at least one image of at least a part of a reference color field by a camera may include, in particular, the shooting of an image containing at least an area of interest located within the limits of at least one reference color field. For example, the reference color field may be automatically recognized within the limits of an image, for example by a pattern recognition method known to a specialist, and at least one area of interest may be selected within the limits of the reference color field, for example a rectangular, square, polygonal, oval or round area of interest. The shooting of at least one image may be initiated by a user action or may be initiated automatically upon automatic detection of the presence of at least one reference color field within the limits of the field of view and/or within a specified sector of the field of view of the camera. Such methods for automatic image acquisition are known, for example, in the field of automatic barcode reading means, in particular from applications that automatically read barcodes.

The term "color resolution information" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person skilled in the art and should not be limited to any particular or specialized meaning. In particular, the term may refer, without limitation, to an arbitrary element of information, such as one or more numerical values quantitatively expressing the ability to resolve two or more colors. In this case, the term "resolution" generally refers to the question of whether the colors are determined to be different or the same. In terms of spectral properties, for example, color resolution may refer to the question of whether the individual spectra of each color are distinguishable. For example, in the case of a pure color such as red, green or blue, the color spectrum may have the form of a peak. The width of the peak may be determined, firstly, by the spectral properties of the light source and/or the object reflecting the light, and secondly and additionally, may be determined by the spectral properties of the light detector, such as the pixels of a camera. In the case of using a plurality of pixels, as is typical for taking an image with a camera, it is necessary to take into account the spectral properties and the distribution of the spectral properties of the plurality of pixels, which usually create statistical effects such as distribution. Thus, in order to distinguish two peaks of two different colors, these peaks must be separated by at least a minimum spectral distance, which must usually be greater than the width of individual peaks. Thus, for example, at least one element of color resolution information may include a minimum distance between two color signals or color peaks in a spectrum or at least along one color coordinate, necessary to distinguish two color signals or color peaks.

As described in more detail below, various ways of determining color resolution information are widely known, which can be used in the proposed method. For example, statistical information can be collected on a group of pixels, such as all pixels or at least a plurality of pixels in an area of interest, regarding the distribution of at least one parameter, in particular at least one color coordinate, and statistical information can be determined, such as the width of the distribution or at least one peak of the distribution. Examples of the invention are discussed in more detail below.

The method according to the first aspect of the present invention may also be improved by including the following step:

d) comparing at least one element of information about the color resolution with at least one threshold value, ensuring the determination of at least one element of information about the suitability of the mobile device for the purpose of carrying out an analytical measurement based on the color-forming response.

Thus, at least one threshold value, such as a predetermined or predetermined threshold value, can be provided for the color resolution information element. As indicated above, for example, the at least one threshold value can be determined or predetermined by the required accuracy of the analytical measurement. For example, as explained in more detail below in the examples of the invention, in the case of glucose measurements, a certain maximum tolerance can be predetermined, such as a maximum deviation of 2% at a blood glucose concentration of 100 mg/dl. Using at least one predetermined or predetermined relationship between the color coordinate and the glucose concentration, which can be determined, for example, analytically or empirically, the maximum tolerance or maximum deviation can be converted into a minimum color resolution. Thus, as discussed above, the minimum resolution can indicate how far apart the color peaks must be spaced along the corresponding color coordinate in order to be distinguishable. Since, as discussed above, the possibility of distinguishing these color peaks depends on the peak width as a statistical parameter determined on the pixels of the image, the maximum tolerance can thus be transformed into a maximum width over the pixels taken into account for the detection of the color-forming reaction. Consequently, in step d) a comparison can be made, for example, of the width of the distribution or of the peak of the distribution obtained in step d), for example the width of the peak in the distribution of counts for a certain color coordinate, with a threshold value derived from the required accuracy of the determination of the glucose concentration. At the same time, it should be noted that other possibilities of comparing at least one element of the color resolution information with at least one threshold value are also possible. Thus, for example, comparisons of the type A < T; A > T; A ≤ T; A ≥ T; T1 < A < T2; T1 ≤ A < T2; T1 < A ≤ T2 or T1 ≤ A ≤ T2, where T, T1, T2 are threshold values, A is at least one element of color resolution information.

The term "suitability information element" in this context is a broad term to be interpreted in its ordinary meaning familiar to the average person skilled in the art and should not be limited by any particular or specialized meaning. In particular, this term may refer, without limitation, to an indication or information regarding suitability, in particular in this case, the suitability of the mobile device for the purpose of performing an analytical measurement based on a color-forming response. The suitability information element may be, for example, logical or numerical information having, for example, the values "suitable" or "unsuitable"/"not suitable". Thus, for example, in the case of comparing the width of the distribution of the peak of the statistical distribution of the color coordinate with at least one threshold value, for example a threshold value derived or obtained using the maximum tolerance for the glucose measurement result, and in the case where this width is greater than the threshold value or a larger value, or at least equal to the threshold value, the mobile device may be determined as unsuitable for the purpose of performing an analytical measurement based on a color-forming response. However, as an alternative to using logical values, as already indicated above, suitability can also be quantified, i.e. expressed quantitatively.

In addition to its use for determining the suitability information, at least one element of the color resolution information may be used for other purposes in addition to or as an alternative to such use. For example, if the mobile device is determined to be suitable for the purpose of an analytical measurement, at least one element of the color resolution information may be used to adjust or calibrate the mobile device. In general, the method may include, for example, the following step:

e) correction of at least one color scale of the mobile device for analytical measurement.

Thus, for example, when a peak is detected in the statistical distribution of intensities along the color coordinate, peaks corresponding to a certain reference color of the reference color field, the color indicated by the center of the peak is usually known, and calibration of the color coordinate can be performed, accompanied, for example, by correction of the color scale of the mobile device for analytical measurement.

Other particular features may relate to obtaining at least one element of information about the color resolution in step d). For example, the step of obtaining at least one element of information about the color resolution by means of an image may include the following substeps:

g1) defining at least one region of interest within the image;

g2) determining at least one color coordinate of image pixels within the region of interest;

g3) performing at least one statistical analysis with respect to the distribution of color coordinates of pixels and obtaining at least one element of color resolution information by means of at least one result of this statistical analysis.

Possible options for implementing these substeps have already been partially discussed above.

The term "region of interest" (ROI) in this context is a broad term to be interpreted in its usual meaning familiar to the average person skilled in the art and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to a subset of data included in a larger set of data and defined for a certain purpose. For example, said term may refer to at least one partial image or region within an image defined for a certain purpose. In this context, the region of interest may be, in particular, a partial image that is used in step d) to obtain at least one element of color resolution information. To determine the region of interest, for example, a reference color field may be recognized, for example by an image recognition method known to a person skilled in the art, in particular by recognizing the shape or ordinal lines of the reference color field. For example, a circular, rectangular, square, oval or polygonal region of interest may be inserted into a portion of an image recognized as a reference color field image, and step d) may be performed within this region of interest. The region of interest may in particular be determined automatically.

The determination of the region of interest may also be repeated if the region of interest cannot be determined or if it is determined that the image quality is too low to determine the region of interest. Other examples of implementing the invention are discussed below.

The term "color coordinate" in this context is a broad term that is to be interpreted in its usual meaning, familiar to the average person skilled in the art, and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to a coordinate in an arbitrary color coordinate system used to describe a color using coordinates. A person skilled in the art knows a number of color coordinate systems that can be used in the context of the present invention. Thus, for example, a colorimetric coordinate system or a coordinate system based on human perception can be used, for example, the CIE 1964 color space, the Munsell color system or other coordinate systems such as R, G, B, L, a, b. In particular, when developing color coordinate systems based on human perception, it may be necessary to take into account the anatomy of the human eye, while other coordinate systems may be based on physically pure color perception, for example, on wavelengths. Furthermore, as mentioned above, several color coordinate systems can be used in the context of the present invention, such as color coordinate systems based on human perception and/or color coordinate systems based on wavelengths, such as colorimetric color coordinates and/or radiometric color coordinates.

In this case, one, more than one of the color coordinates, or even all the color coordinates of several or even all the pixels of the region of interest can be determined. In the simplest case, for example, a color coordinate can be used for which it is known that it undergoes the most significant or profound change in the color-forming reaction. For example, if for a specific indicator reagent it is known that in the color-forming reaction used to determine the analyte, it most profoundly changes its color hue in the blue region of the spectrum, a blue color coordinate can be used, and the blue color coordinate can be determined for all pixels or at least for a group of pixels of the region of interest located within the image, and statistical analysis of the intensity distribution can be carried out using the blue color coordinates. At the same time, other color coordinates can be used as an alternative. Again, as an alternative, a combination of color coordinates can be used. For example, it is possible to use a linear or other combination of a plurality of color coordinates, in particular, by using a combined coordinate containing 80% of the blue color coordinate, 15% of the red color coordinate and 5% of the green color coordinate. In this case, statistical analysis can be carried out on this combined color coordinate. Other embodiments of the invention are also possible.

As described in more detail below, the statistical analysis of the distribution of at least one color coordinate on the pixels of the region of interest within the image of the reference color field may include, in particular, a histogram analysis, for example a histogram analysis of the distribution of color coordinates. By means of statistical analysis, for example, as discussed above and as described in more detail below, it is possible to determine at least one width of at least one statistical distribution of intensities over at least one color coordinate in order to derive, or obtain, information about the color resolution. In addition or as an alternative, as also described in more detail below, using several reference color fields having different colors, it is possible to analyze several peaks.

The statistical analysis as indicated above may include, in particular, determining at least one width of at least one color peak within the distribution of color coordinates, in particular the half-width, namely the full width at half maximum. Thus, for example, a histogram of color coordinates can be constructed, for example, by quantizing the color coordinates, i.e. dividing them into individual segments on the axis of at least one color coordinate, and then a curve can be fitted to the histogram, for example a bell-shaped Gaussian curve (normal distribution curve) and/or a Poisson distribution curve, and width values can be derived, for example the full width at half maximum (FWHM) as a fitting parameter. As indicated above, the width can directly indicate the color resolution of the camera and/or the mobile device.

As also discussed above, since the width is an indicator of the color resolution of the mobile device and/or camera, the width values can be directly compared with at least one threshold value. Thus, for example, the method can include comparing the width with at least one threshold value to determine the suitability of the mobile device for the purpose of performing an analytical measurement based on a color-forming response. As also discussed above, the threshold, also called the threshold value, in particular can be determined by the required maximum error of the analytical measurement, converting the required maximum error into a minimum resolution by using a known relationship between at least one analyte determined in the analytical measurement and at least one color coordinate, and determining the threshold value by using the minimum resolution.

The statistical analysis may also include, in addition or as an alternative, obtaining one or more other information elements. For example, the statistical analysis may include determining at least one color coordinate of at least one center of at least one color peak within the distribution of color coordinates. For example, the center may be obtained directly by determining the maximum in the histogram or, as an alternative, by using one or more fitting algorithms, such as constructing one or more of the above-mentioned smoothing curves and determining the maximum of the smoothing curve as a fitting parameter. As indicated above, determining the color peak, in particular determining the center of the color peak, may be used, for example, to calibrate a mobile device, since the color corresponding to the color peak is usually known from the properties of the reference color field.

As indicated above, the at least one reference color field may include one reference color field having a uniform color, or, alternatively, several reference color fields, each of which has a uniform color, or, also alternatively, has a certain distribution of different colors. Thus, for example, the object may have at least two reference color fields having different colors, and the statistical analysis may include determining at least two color peaks corresponding to at least two different colors. Thus, as discussed above, the peak centers may be determined by finding maxima in a histogram, or smoothing curves may be fitted to the histogram, for example smoothing curves with multiple bell-shaped peaks or other similar curves, and the result of such fitting may be finding color peaks. In addition or alternatively, the width of the different color peaks may be determined separately. Again, in addition or as an alternative, individual color coordinates can be used to evaluate individual reference color fields.

In particular, if a plurality of colours are used in at least one reference colour field, the statistical analysis may include determining the distance between the centres of at least two colour peaks. In this case, at least one element of colour resolution information may include, in particular, the distance between at least two colour maxima. Again, as discussed above, this distance may be obtained, in particular, as a fitting parameter. The method may include, in particular, comparing the distance between the centres of at least two colour peaks with at least one threshold value for determining the suitability of the mobile device for the purpose of carrying out an analytical measurement based on the colour-forming response. At least one threshold value may also include an interval of values for checking whether the found distance is within an acceptable interval, for example for checking whether the mobile device is suitable for correctly transmitting colour distances or colour differences.

The method may include, in particular, determining at least one calibration coefficient for changing the scale of the color scale (the so-called color rescaling) based on the ratio of the distance between the centers of at least two color peaks and the expected distance between the centers of at least two color peaks. For example, if the reference color field contains different shades of blue, for which it is known that they are spaced along the blue color coordinate by a given distance, the experimentally determined distance between the centers of at least two color peaks can be compared with the expected or given distance, and the color scale can, for example, be stretched by multiplying by a coefficient representing the ratio between the determined distance and the expected distance or the difference or its inverse value. Other types of changing the scale of the color scale are also possible. For example, a correction can be performed by shifting, for example, to shift a certain center of a color peak to a given position.

As described in more detail below, the method for assessing the suitability of a mobile device, as well as the method for carrying out an analytical measurement mentioned below, in particular, can be fully or partially implemented in a computer, in particular in a computer of a mobile device, for example in a processor of a mobile device. Thus, in particular, these methods can be implemented in the form of so-called applications, for example for the Android or iOS operating systems, which, for example, can be available for download from an application store. In this case, in particular when it comes to a method for assessing the suitability of a mobile device, the method can include the use of at least one processor and software commands for performing at least step d) of the method. The software commands, in particular the application, can also ensure that instructions are issued to the user, for example by means of one or more of the following means: a display, audio instructions or other instructions, to support steps a), b) and c) of the method. In this case, as indicated above, step c) of the method can also be fully or partially implemented in a computer, for example by the fact that the shooting of at least one image of at least one part of the reference color field is carried out automatically by the camera after the reference color field has come within the field of view of the camera and/or a certain area located in the field of view. The processor for implementing the method can be, in particular, part of a mobile device.

As indicated above, the mobile device may in particular be a mobile computer and/or a mobile communications device.

Thus, in particular, a mobile device may be selected from a group consisting of a mobile communication device, in particular a smartphone, a portable computer, in particular a laptop, and a tablet computer.

As indicated above, there are other steps of the method that can be implemented in a computer or can be performed using a computer, in particular by a processor of a mobile device. For example, step c) of the method can include providing the user with a visual hint on the positioning of the mobile device relative to the object. In addition to the visual hint or as an alternative to it, an audio hint or a hint of another kind can be used.

In another aspect of the present invention, a method for performing an analytical measurement based on a color-forming reaction is provided, wherein a mobile device having at least one camera is used in the implementation of the method. The method includes the steps discussed below, which can be performed in the specified order. However, another order of performing the corresponding actions is also possible. In addition, one step, more than one step, or even all steps of the method can be performed once or repeatedly. In addition, the steps of the method can be performed sequentially, or, as an alternative, two or more steps of the method can be performed with an overlap in time or even in parallel. The method can also include other steps not specified in the list.

The method includes the following steps:

i) an assessment of the suitability of a mobile device, performed by the method for assessing the suitability of a mobile device proposed in the invention, for example, described above in connection with one or more embodiments of the invention or discussed in more detail below;

ii) interrupting the execution of the method for carrying out an analytical measurement if at least one element of the color resolution information indicates that the mobile device is not suitable for carrying out the analytical measurement;

iii) performing an analytical measurement, if at least one element of the colour resolution information indicates the suitability of the mobile device for performing an analytical measurement, comprising the following steps:

a. applying at least one sample to at least one test element having at least one indicator reagent capable of causing a color-forming reaction;

b. capturing with a camera at least one image of at least a portion of the test element;

c. evaluating the image and obtaining at least one element of analytical information about it.

For possible definitions of most of the terms used herein, reference may be made to the disclosure of the method for assessing the suitability of a mobile device, described above or discussed in more detail below.

With regard to step i) of the method, reference can be made to the description of the methods discussed above. For example, reference can be made to the description of step d) of the method, in which at least one element of information on the color resolution can be compared with at least one threshold value, which ensures the determination of at least one element of information on the suitability of the mobile device for the purpose of performing an analytical measurement based on the color-forming reaction. When performing step i) of the method, for example, at least one element of information on the suitability can be used, which, for example, can be or can include digital information or logical information "suitable" or "unsuitable". Depending on this information on the suitability, the algorithm for implementing the method can branch between steps ii) and iii), wherein in step i) the query regarding the suitability can be programmed, for example, as a subroutine "if ...", a subroutine "if ..., then ..." or another similar subroutine.

For evaluating at least one image and obtaining at least one element of analytical information about it, several algorithms known to a person skilled in the art of analysis, for example in the art of monitoring blood glucose levels, can be used. For example, a given or predetermined relationship can be used between at least one color coordinate of a test element, for example a test field, and a controlled value. Again, a statistical analysis can be performed on the test element or a part thereof, for example on a test field containing at least one indicator reagent, and/or on a region of interest located within the test field containing at least one indicator reagent. For example, at least one test field can be recognized within the image of the test element, preferably automatically recognized, for example by pattern recognition methods and/or other algorithms, as described in the examples below. Again, one or more regions of interest can be defined within a partial image of the test field. On the region of interest, color coordinates can be determined, for example again coordinates of the color blue and/or coordinates of another color, for example also by means of one or more histograms. The statistical analysis can comprise fitting one or more smoothing curves to at least one histogram, for example as described above, as a result of which, for example, the center of the peak can be determined. In this way, the color-forming reaction can be observed by means of one or more images, wherein for one or more images, the center of the peak can be determined by means of a statistical analysis, which makes it possible to determine a color shift or a color change in at least one coordinate. After the completion of the color-forming reaction or when it reaches a predetermined or predetermined end point, as the person skilled in the art knows, for example from monitoring the blood glucose level, a shift in at least one color coordinate or the color coordinates of the end point can be determined, which can be converted, for example, into the concentration of the analyte in the sample by means of a predetermined or predetermined relationship between the color coordinate and the concentration. This relationship, such as a conversion function, a conversion table or a lookup table, may be obtained, for example, empirically and may be stored, for example, in at least one data storage device of the mobile device, for example by software, in particular an application downloaded from an application store or other similar source.

As discussed above, the methods known from the prior art usually provide for obtaining calibration information using the test strip or test element itself. The method proposed in the invention, however, allows separating the step of assessing the suitability of the mobile device for carrying out an analytical measurement and the step of carrying out the analytical measurement itself, wherein if the suitability of the mobile device is established, any number of analytical measurements can be carried out using it. However, as an alternative to the above-mentioned single assessment, the assessment of the suitability of the mobile device in step i) can be carried out repeatedly, for example after specified or preset intervals have elapsed or when any changes are made to the mobile device. The software, for example a software application, can prompt the user to carry out step i), for example by displaying appropriate instructions on the display and/or in the form of audio instructions. However, in particular, step i) can be carried out at least once before step iii), if this is necessary at all. Step i) may be performed once before step iii) is performed at least once, or step i) may be performed once before step iii) is performed multiple times.

In the event that at least one element of the color resolution information indicates that the mobile device is unsuitable for performing an analytical measurement, the execution of the method for performing an analytical measurement is interrupted. This interruption may, for example, also include informing the user of the mobile device of the unsuitability of the mobile device for performing an analytical measurement. The corresponding information may be issued, for example, in the form of normal information on the display and/or sound information.

In addition to or as an alternative to the above-mentioned informing of the user, if the mobile device is found to be unsuitable for performing an analytical measurement, step ii) may also include blocking future attempts to perform an analytical measurement using the mobile device. Thus, for example, when the user tries again to launch the software application on his mobile phone, a corresponding message may be displayed, such as "Sorry, the mobile device is unsuitable!" or a message of similar content, and the analytical measurement may be blocked.

In yet another aspect, a computer program is proposed, comprising machine-executable instructions for implementing the method according to one of the embodiments described herein, in particular for implementing step d), and, if necessary, one or more of steps c), d) and e) of the method, when executing the program in a computer or a computer network, in particular in a processor of a mobile device having at least one camera. In addition, the machine-executable instructions can also ensure the execution of steps i) and ii), and, if necessary, can also ensure at least the issuance of a prompt for step iii) of the method. In this case, the use of a prompt for partial step a) can be provided, the shooting of at least one image in partial step b) can be automatically initiated by machine-executable instructions, and the evaluation of the image and the obtaining of analytical information in step c) can be performed by machine-executable instructions.

Thus, in general, the present description discloses and proposes a computer program containing machine-executable instructions for implementing the method according to the present invention in one or more embodiments thereof disclosed in this description, when executing the program in a computer or a computer network. In particular, the computer program can be stored in a machine-readable data carrier. Thus, in particular, one step, more than one step or even all steps of the method, as indicated above, can be performed using a computer or a computer network, preferably by means of a computer program. The computer, in particular, can be fully or partially integrated (embedded) in a mobile device, and the computer programs, in particular, can be implemented as a software application. However, as an alternative to using an embedded computer, at least part of the computer can be located outside the mobile device.

Furthermore, the present application discloses and proposes a computer program product having program code means for implementing the method corresponding to the present invention in one or more embodiments thereof disclosed in this description, when executing the program in a computer or a computer network, for example, for implementing one or more steps of the method mentioned above. In particular, the program code means can be stored in a machine-readable data carrier.

In addition, the present application discloses and proposes a data carrier with a data structure stored therein, which, after loading into a computer or a computer network, for example into a random access memory or a main memory device of a computer or a computer network, ensures the implementation of the method in one or more embodiments thereof disclosed in this description, in particular ensures the implementation of one or more steps of the method mentioned above.

Furthermore, the present application discloses and proposes a computer program product with program code means stored in a machine-readable medium for implementing the method in one or more embodiments thereof disclosed in this description, when executing the program in a computer or a computer network, in particular for implementing one or more steps of the method mentioned above. In this context, the computer program product refers to the program as a negotiable good. In general, the product can exist in any format, such as in paper format or on a machine-readable data carrier. In particular, the computer program product can be distributed over a data transmission network.

Finally, the present application discloses and proposes a modulated information signal containing instructions readable by a computer system or a computer network for implementing a method in one or more embodiments thereof disclosed in this description, in particular one or more method steps mentioned above.

In particular, the disclosure of the invention also provides for the possibility of its implementation in the following forms:

- a computer or computer network containing at least one processor configured to implement the method in one of the embodiments discussed in this description,

- a data structure loaded into a computer, which, when executed in a computer, ensures the implementation of the method in one of the embodiments of its implementation discussed in this description,

- a computer program which, when executed on a computer, ensures the implementation of the method in one of the embodiments of its implementation discussed in this description,

- a computer program containing software for implementing the method in one of the embodiments of its implementation discussed in this description, when executing the computer program on a computer or in a computer network,

- a computer program containing software according to the previous variant, in which the software is stored in a storage medium accessible to a computer for reading,

- a storage medium in which a data structure is stored, which, after loading it into the main and/or operational memory of a computer or computer network, ensures the implementation of the method in one of the embodiments of its implementation discussed in this description, and

- a computer software product having program code means that can be stored or are stored in a storage medium and, when executed on a computer or in a computer network, ensure the implementation of the method in one of the embodiments of its implementation discussed in this description.

In another aspect of the present invention, a mobile device is proposed for carrying out an analytical measurement based on a color-forming reaction. The mobile device comprises at least one camera. The mobile device is configured to carry out an embedded suitability assessment by the following steps:

I. capturing with a camera at least one image of at least a portion of at least one reference color field on at least one object; and

II. obtaining at least one element of color resolution information by means of an image.

For most of the terms and possible definitions used here, reference may be made to the description of the methods discussed above. The term "embedded suitability assessment" in this context is a broad term to be interpreted in its usual meaning, familiar to the average person, and should not be limited to any particular or specialized meaning. In particular, this term may refer, without limitation, to the process of a device for assessing this same device with respect to its suitability or unsuitability for a given purpose, wherein with respect to suitability, reference may be made to the description above.

The mobile device may be designed, in particular, with the possibility of carrying out at least one analytical measurement based on the colour-forming reaction, in particular after carrying out the built-in suitability assessment, by means of the following steps:

III. assessing the suitability of a mobile device based on at least one element of color resolution information;

IV. interrupting the analytical measurement if at least one element of the color resolution information indicates that the mobile device is not suitable for performing the analytical measurement;

V. performing an analytical measurement, if at least one element of the color resolution information indicates the suitability of the mobile device for performing an analytical measurement, which includes the following steps:

a. shooting with a camera at least one image of at least a part of a test element, wherein the test element has at least one indicator reagent capable of causing a color-forming reaction when at least one sample is applied to the test element;

b. evaluating the image and obtaining at least one piece of analytical information about it.

With regard to possible definitions or embodiments of the invention, reference may be made to the above description of the method. Thus, in particular, the mobile device may be designed with the possibility of implementing the method of assessing the suitability of the mobile device and/or the method of conducting an analytical measurement based on the color-forming reaction, according to one of the embodiments described above or discussed in more detail below. In particular, the mobile device may contain at least one computer, for example at least one processor, programmed to implement the method or, in particular, the above steps of the method.

In another aspect of the present invention, a kit for performing an analytical measurement is provided. The kit comprises:

- at least one mobile device according to one of the embodiments described above or discussed in more detail below;

- at least one object having at least one reference color field; and

- at least one test element having at least one indicator reagent capable of causing a color-forming reaction.

With regard to possible definitions of terms and possible embodiments of the invention, reference can again be made to the above description.

In this case, there are several possibilities in terms of selecting the object. Thus, as a first example, at least one reference color field can be, for example, directly built into a test element, such as a test strip, or, for example, can be printed or attached to it. At the same time, since the suitability test of the mobile device can be carried out once for a plurality of analytical measurements, the reference color field, as an alternative to its arrangement on the test element, can also be applied to objects of another type, such as a container for placing at least one test element, a plate with a color sample, etc. Thus, for example, the object can be selected from a group consisting of a container for placing at least one test element, a plate with a reference color sample, a test element having at least one reference color field applied to it. There may also be other possibilities.

The methods and devices proposed in the present invention can provide many advantages over known methods and devices for analytical measurements. Thus, in particular, the process of performing an analytical measurement based on a color-forming reaction proposed in the present invention can be characterized by lower time costs compared to other processes known from the state of the art. In particular, the present invention makes it possible to assess the overall suitability of a mobile device for the considered purpose by performing a single measurement. The fact of the suitability of the mobile device, established by this single measurement, can be valid for all subsequent measurements. Thus, the present invention makes it possible to reduce the time required to perform an analytical measurement, compared to approaches adopted in the state of the art, which focus on the application of correction algorithms before each measurement of the analyte. In particular, when implementing the present invention, the suitability of the mobile device can be established by performing a single measurement, which is valid for virtually all subsequent measurements, as opposed to applying correction algorithms before each measurement. Thus, the present invention can ensure that at least one of the subsequent analytical measurements is performed more quickly than is possible using approaches adopted in the state of the art. Due to this, the present invention makes it possible to simplify the process of performing an analytical measurement based on a color-forming reaction for the user. In particular, after establishing the general suitability of the mobile device for the purpose in question, the process of performing an analytical measurement within at least one subsequent measurement, preferably all subsequent measurements, can be simpler than when performing measurements according to the prior art. In particular, the use of a suitable mobile device according to the present invention can simplify the process of performing a blood glucose measurement based on a color-forming reaction for the user. When using a suitable mobile device, the process of performing a blood glucose measurement based on a color-forming reaction can, in particular, take less time than the processes known from the prior art.

In addition, the present invention allows for the detection of degradation in a mobile device, i.e., a reduction in the capabilities of the latter. In particular, the invention allows for the detection of such types of degradation as defects that appear over time, such as signs of aging, and/or defects that arise from loads or damage, such as scratches and/or dents on a camera lens. When implementing the invention, the manifestations of degradation can be detected by repeatedly assessing the suitability of the mobile device. Thus, the detection of manifestations of degradation can be ensured by repeating the suitability assessment at specified intervals.

The present invention may also provide advantages over prior art methods and devices for analytical measurements in terms of environmental friendliness. In particular, the present invention allows for a reduction in the use of separate disposable devices and/or housings, often used in prior art systems, to provide specified illumination conditions. When implementing the present invention, the use of disposable devices and/or housings used to provide specified illumination conditions may not be required. Thus, for example, the present invention may allow for the elimination of such disposable devices or housings.

To implement the present invention, it may be sufficient to use only application software, such as an application containing machine-executable instructions for performing an analytical measurement based on a color-forming reaction, in combination with a mobile device suitable for performing an analytical measurement based on a color-forming reaction. In particular, to implement the present invention, it may be sufficient to use only the application in combination with a mobile device suitable for generating accurate and reliable results when performing an analytical measurement based on a color-forming reaction. Due to this, the present invention can improve the safety of using a mobile device for performing an analytical measurement, in particular a blood glucose measurement based on a color-forming reaction. In particular, the present invention makes it possible to identify a mobile device as suitable before allowing the use of the mobile device for performing a blood glucose measurement based on a color-forming reaction. In particular, the use of an application containing machine-executable instructions for performing such an analytical measurement in combination with a mobile device may be permitted only by means of a mobile device suitable for an analytical measurement based on color formation. In particular, according to the present invention, the use of the above-mentioned application is limited to the mobile device being guaranteed to be suitable for the respective measurement. For example, the download of the application to a mobile device that is unsuitable or unadapted for performing a blood glucose measurement based on a color-forming reaction may be blocked. The download of such an application to a mobile device may be restricted until the suitability of the mobile device is guaranteed. Thus, the present invention may improve the safety of blood glucose measurement using a mobile device by assessing the suitability of the mobile device, for example, at an initial validation or verification stage, before allowing the mobile device to perform a blood glucose measurement.

As a summary, the following are proposed embodiments of the present invention, without excluding other possible embodiments:

Option 1: A method for assessing the suitability of a mobile device having at least one camera for performing an analytical measurement based on a color-forming reaction, comprising:

a) providing at least one mobile device having at least one camera;

b) providing at least one object having at least one reference color field;

c) capturing with the camera at least one image of at least a portion of the reference color field; and

(d) obtaining, by means of an image, at least one element of information about the color resolution.

Option 2: The method according to the previous option, also including:

d) comparing at least one element of information about the color resolution with at least one threshold value, ensuring the determination of at least one element of information about the suitability of the mobile device for the purpose of carrying out an analytical measurement based on the color-forming response.

Option 3: A method based on one of the previous options, also including:

e) correction of at least one color scale of the mobile device for analytical measurement.

Variant 4: The method according to one of the previous variants, in which the step of obtaining at least one element of color resolution information via an image includes:

g1) defining at least one region of interest within the image;

g2) determining at least one color coordinate of image pixels within the region of interest;

g3) performing at least one statistical analysis with respect to the distribution of color coordinates of pixels and obtaining at least one element of color resolution information by means of at least one result of this statistical analysis.

Option 5: The method according to the previous option, in which the statistical analysis includes a histogram analysis of the distribution of color coordinates.

Variant 6: The method according to one of the two previous variants, wherein the statistical analysis includes determining at least one width of at least one colour peak within the distribution of colour coordinates, in particular the half-width, namely the full width at half-maximum.

Variant 7: The method according to the previous variant, in which at least one element of color resolution information includes a width.

Variant 8: A method according to one of the two previous variants, comprising comparing the width with at least one threshold value to determine the suitability of the mobile device for the purpose of carrying out an analytical measurement based on the colour-forming response.

Variant 9: The method according to the previous variant, in which the threshold value is determined by providing the required maximum error of the analytical measurement, converting the required maximum error into a minimum resolution by using a known relationship between at least one analyte determined in the analytical measurement and at least one color coordinate, and determining the threshold value by using the minimum resolution.

Variant 10: The method according to one of the six previous variants, wherein the statistical analysis includes determining at least one color coordinate of at least one center of at least one color peak within a distribution of color coordinates.

Variant 11: The method according to one of the seven previous variants, in which the object has at least two reference color fields having different colors, and the statistical analysis includes determining at least two color peaks corresponding to at least two different colors.

Variant 12: The method according to the previous variant, wherein the statistical analysis includes determining the distance between the centers of at least two color peaks.

Variant 13: The method according to the previous variant, in which at least one element of color resolution information includes a distance between at least two color maxima.

Variant 14: A method according to one of the two previous variants, comprising comparing the distance between the centres of at least two colour peaks with at least one threshold value to determine the suitability of the mobile device for the purpose of carrying out an analytical measurement based on a colour-forming response.

Variant 15: A method according to one of the three previous variants, comprising determining at least one calibration factor for changing the scale of the color scale based on the ratio of the distance between the centers of at least two color peaks and the expected distance between the centers of at least two color peaks.

Variant 16: The method according to one of the previous variants, including the use of at least one processor and software instructions for performing at least step c) of the method.

Option 17: The method according to the previous option, in which the processor is part of the mobile device.

Option 18: A method according to one of the previous options, in which the mobile device is selected from a group consisting of a mobile communication device, in particular a smartphone, a portable computer, in particular a laptop, and a tablet computer.

Option 19: A method according to one of the previous options, in which step c) includes providing the user with a visual cue for positioning the mobile device relative to the object.

Option 20: A method for carrying out an analytical measurement based on a colour-forming reaction using a mobile device having at least one camera, comprising:

i) assessing the suitability of the mobile device using a method according to one of the previous options;

ii) interrupting the execution of the method for carrying out an analytical measurement if at least one element of the color resolution information indicates that the mobile device is not suitable for carrying out the analytical measurement;

iii) performing an analytical measurement, if at least one element of the colour resolution information indicates the suitability of the mobile device for performing an analytical measurement, comprising the following steps:

a. applying at least one sample to at least one test element having at least one indicator reagent capable of causing a color-forming reaction;

b. capturing with a camera at least one image of at least a portion of the test element;

c. evaluating the image and obtaining at least one element of analytical information about it.

Variant 21: The method according to the previous variant, wherein step i) is performed at least once before step iii) is performed.

Option 22: The method according to one of the two previous options, wherein step ii) includes informing the user of the mobile device about the unsuitability of the mobile device for carrying out the analytical measurement.

Option 23: The method according to one of the three previous options, wherein step ii) includes blocking future attempts to perform an analytical measurement using the mobile device.

Option 24: A computer program containing machine-executable commands for implementing the method according to one of the previous options, in particular step c) of the method, and, if necessary, one or more steps of the method c), d) and e), when executing the program in a computer or computer network, in particular in the processor of a mobile device having at least one camera.

Option 25: A mobile device for carrying out an analytical measurement based on a colour-forming reaction, having at least one camera and configured to carry out an integrated suitability assessment by means of the following steps:

I. capturing with a camera at least one image of at least a portion of at least one reference color field on at least one object; and

II. obtaining at least one element of color resolution information by means of an image.

Option 26: The mobile device according to the previous option, also configured to perform at least one analytical measurement based on the color-forming reaction, by means of the following steps:

III. assessing the suitability of a mobile device based on at least one element of color resolution information;

IV. interrupting the analytical measurement if at least one element of the color resolution information indicates that the mobile device is not suitable for performing the analytical measurement;

V. performing an analytical measurement, if at least one element of the color resolution information indicates the suitability of the mobile device for performing an analytical measurement, which includes the following steps:

a. shooting with a camera at least one image of at least a part of a test element, wherein the test element has at least one indicator reagent capable of causing a color-forming reaction when at least one sample is applied to the test element;

b. capturing with a camera at least one image of at least a portion of the test element;

c. evaluating the image and obtaining at least one element of analytical information about it.

Option 27: A mobile device according to one of the two previous options, designed with the possibility of implementing the method according to one of the previous options related to the method.

Option 28: A kit for carrying out an analytical measurement, containing:

- at least one mobile device according to one of the previous embodiments relating to a mobile device;

- at least one object having at least one reference color field; and

- at least one test element having at least one indicator reagent capable of causing a color-forming reaction.

Option 29: A set according to the previous option, in which the object is selected from a group consisting of a container for placing at least one test element, a plate with a reference color sample, a test element having at least one reference color field applied to it.

Brief description of the drawings

Other optional features of the invention and the possibilities of its implementation are disclosed in more detail in the following description of the preferred embodiments of the invention, preferably in conjunction with the dependent claims of its formula. In this case, the corresponding optional features can be implemented, as is clear to a specialist, separately, as well as in any arbitrary combination. The scope of protection of the invention is not limited to the preferred embodiments of its implementation. The embodiments of the invention are schematically shown in the drawings. In the drawings, the same reference numbers refer to the same or functionally comparable elements. The drawings show:

Fig. 1 is a perspective view of one embodiment of a kit and a mobile device for carrying out an analytical measurement;

Fig. 2 is a block diagram of the implementation of the method for assessing the suitability of a mobile device;

Fig. 3 is a block diagram of the implementation of the method for conducting an analytical measurement;

Fig. 4 shows a variant of an image taken with a mobile device;

Fig. 5 and 6 are graphs of the results of statistical analysis options for the ideal (Fig. 5) and real (Fig. 6) distribution of color coordinates of pixels within one area of interest;

Fig. 7, 8 and 9 are graphs of the results of statistical analysis variants for the ideal (Fig. 7 and 9) and real (Fig. 8 and 9) distribution of pixel color coordinates within two separate areas of interest; and

Fig. 10 shows a variant of taking an image using a mobile device.

Detailed description of embodiments of the invention

Fig. 1 shows a perspective view of a set 110 for performing an analytical measurement. The set 110 comprises at least one mobile device 112, at least one object 114 having at least one reference color field 116, and at least one test element 118 having at least one indicator reagent 120 capable of causing a color-forming reaction. The object 114 having at least one reference color field 116, as shown in Fig. 1, can be a test element 118, in particular a test strip, or a container 117 for test elements, in particular a container for test strips. The reference object 114 can be or can comprise at least one reference color field 116, preferably several reference color fields 116, each of which has a given color. Thus, Fig. 1 shows two different possibilities for arranging at least one reference color field 116, which can be implemented independently, i.e. the possibility of arranging at least one reference color field 116 on a container 117 for test elements and/or arranging the reference color field 116 on a test element 118.

The mobile device 112 has at least one camera 122 and may contain a display 128 and a processor 126. In addition, the mobile device 112 is configured to perform an integrated suitability assessment, i.e. an assessment of the suitability of the mobile device itself.

The embedded suitability assessment includes capturing by the camera 122 at least one image of at least one reference color field 116 or a part thereof. For example, in Fig. 4 an image 123 of at least one reference color field 116 is schematically shown. The embedded suitability assessment also includes obtaining by means of the image 123 at least one element of color resolution information. The element of color resolution information may include, in particular, one or more numerical values that quantitatively express the ability of the camera 122 to resolve two or more colors. Thus, the element of color resolution information may, for example, represent or include a minimum distance between two color signals that is necessary to distinguish two colors.

To determine the color resolution information element, one or more reference color fields 116 may be evaluated. In the following, an evaluation of at least two reference color fields 116 is considered as an example. As shown in Figs. 1 and 4, the object 114 may have several reference color fields 116. The object 114 may preferably have a first reference color field 130 having a first color 132 and a second reference color field 134 having a second color 136. For example, the object 114 may also have more than two reference color fields 116, as seen in Fig. 1. Each of the reference color fields 116 may vary in size and shape. For example, each of the reference color fields 116 shown in Fig. 1 may have a rectangular shape, and the reference color fields 116 shown in Fig. 4 may have a circular shape. In particular, each of the reference color fields 116 may have a different (from the others) shape. Thus, the first reference color field 130 and the second reference color field 134 may differ in shape.

Fig. 2 shows a flow chart 138 of implementing a method 140 for assessing the suitability of a mobile device in one embodiment of the invention, based, for example, on the diagrams shown in Figs. 1 and 4. The method 140 includes a step a) (method step 142) of providing at least one mobile device 112 having at least one camera 122, as shown, for example, in Fig. 1. The method 140 also includes a step b) (method step 144) of providing at least one object 114 having at least one reference color field 116, such as shown in Fig. 1. Furthermore, the method 140 includes a step c) (method step 146) of shooting with the camera 122 at least one image 123 of at least a part of the reference color field 116.

An embodiment of capturing an image 123 (the above-mentioned step c) of the method) by a mobile device 112 containing a camera 122 is shown in Fig. 10. In addition, when the camera captures an image 123 of at least a part of the reference color field 116, a hint can be issued for positioning the mobile device 112 and/or the camera 122 relative to the object 114. The hint can be visual and can be or include displaying a contour 147, for example a rectangular contour or shape of the object 114 or the test element 118, on the display 128 of the mobile device 112 with this contour superimposed on the image being captured. As shown in Fig. 10, the hint may include displaying on the display 128 of the mobile device 112 an outline 147 of the test element 118 superimposed on the image being captured and serving as a visual reference for the proper positioning of the camera 122 and/or the mobile device 112 relative to the test element 118. The method 140 may also include step d) (method step 148) of obtaining, via the image 123, at least one element of color resolution information.

The method step 148 (step d)) may include sub-steps, for example three sub-steps. The first sub-step d1) (method step 150) may include determining at least one region of interest 152 within the image 123. In particular, the method step 150 may include determining at least one region of interest 152 within the image 123 of at least a portion of the reference color field 116. An example of a region of interest 152 is shown in Fig. 4. Thus, for example, the first region of interest 154 may be recognized in the first reference color field 130 having the first color 132, and the second region of interest 156 may be recognized in the second reference color field 134 having the second color 136.

The second substep g2) (method step 158) may include determining at least one color coordinate 160 of pixels 163 of image 123 within region of interest 152. In particular, image 123 captured by camera 122 may contain a plurality of pixels 163. Thus, region of interest 152 defined within image 123 may contain a portion of image pixels 163. In particular, the number of pixels 162 contained in region of interest 152 may be less than the number of image pixels 162 contained in image 123. Each pixel 163 of image, including pixels 162, may have a color that can be described in a color coordinate system containing at least one color coordinate 160. For example, for at least one color coordinate 160 it may be known that it undergoes the most significant change during the color-forming reaction of indicator reagent 120. Therefore, within the region of interest 152, in this way, it is possible to determine, in particular, at least one color coordinate 160 of the pixel 162. In particular, for each pixel 162, a value can be found that shows at least one color coordinate 160 of the pixel 162.

The third substep g3) (step 164 of the method) may include performing at least one statistical analysis 165 with respect to the distribution of color coordinates 160 of pixels 162. In particular, the statistical analysis 165 may be performed with respect to the values showing color coordinates 160 of pixels 162 within the region of interest 152. The statistical analysis 165 of the distribution of pixels 162 by color coordinates 160 may include, in particular, a histogram analysis 166 of the distribution of pixels 162 by color coordinates 160.

Fig. 6 shows a graph 168 of the results of one embodiment of a histogram analysis 166 of the distribution of pixels 162 by color coordinates 160. The histogram analysis 166 may include a histogram 170 by color coordinate 160. The histogram 170 may be constructed, for example, by quantizing the values showing the color coordinates 160 of the pixels 162 into separate segments on the axis of the color coordinate 160. Quantitative (quantified) values 172 are plotted in Fig. 6 in accordance with the scale of the axis 174 of quantitative values. Then, a curve 176 may be fitted to the histogram 170 using at least one fitting parameter. The third substep g3) (method step 164) may also include obtaining at least one element of information about the color resolution by means of at least one result of the statistical analysis 165. In particular, at least one element of information about the color resolution may include a width 178, for example a full width at a level of half the maximum. The width 178 may be derived, or obtained, from at least one fitting parameter. The width 178 may directly indicate the color resolution of the camera 122 and/or the mobile device 112 comprising the camera 122. In addition, the maximum or peak of the fitted curve 176 may indicate the center 180 of the distribution over at least one color coordinate 160 of the pixels 162.

Fig. 5 shows a graph 168 of the results of an idealized version of the statistical analysis 165. In particular, the ideal distribution of pixels 162 by color coordinates 160 can be represented by the ideal curve 175 shown in Fig. 5. The color of the reference field 116 can be generally known and therefore can be used to construct such an ideal distribution, and the width 178 shown in Fig. 5 can be equal to the maximum width 177 indicating the minimum resolution of the camera 122 and/or the mobile device 112 for the purpose of performing an analytical measurement. Thus, the ideal center 179 can be equal to the color of the reference color field 116.

The method 140 for assessing the suitability of the mobile device 112 may also include a step d) (method step 181) of comparing at least one element of information about the color resolution with at least one threshold value 182, which ensures determining at least one element of information 183 about the suitability of the mobile device 112 for the purpose of performing an analytical measurement based on a color-forming response. At least one threshold value 182 may be derived from the required error and/or the required accuracy of the analytical measurement, for example, determining the concentration of glucose. For example, the threshold value 182 may be or include the maximum width 177 shown in Fig. 5, indicating the minimum resolution of the camera.

As the result of the histogram analysis 166 shown in Fig. 6 shows, the center 180 of the distribution of pixels 162 by color coordinate 160 within the region of interest 152 can correspond to the reference color of the reference color field 116 shown in Fig. 4. Thus, in addition or as an alternative, the threshold value 182 may represent or include the maximum discrepancy between the known color of the reference color field 116 and the determined color of the reference color field 116. This discrepancy between the known color and the determined color may be measured by the distance between the center 180 and the ideal center 179. Thus, at least one element of suitability information 183 may be determined by comparing the element of color resolution information, in particular the width 178 and/or the distance between the center 180 and the ideal center 179, with the threshold value, in particular the maximum width 177 and/or the maximum discrepancy or the distance between the center 180 and the ideal center 179.

As shown in Fig. 1 and Fig. 4, within the image 123 captured by the camera 122, two different reference color fields 116 can exist. Thus, by means of statistical analysis 165, two different centers 180 can be obtained. Based on the results of statistical analysis 165 of the distribution of pixels 162 by color coordinate 160 within the first region of interest 154, a first center 184 can be obtained, and based on the results of statistical analysis 165 of the distribution of pixels 162 by color coordinate 160 within the second region of interest 156, a second center 186 can be obtained, as shown in Fig. 8. In Fig. 7 shows a graph 168 of the results of the statistical analysis 165 of the idealized first curve 189, showing the idealized distribution of pixels 162 by color coordinate 160 within the first region of interest 154 detected in the first color field 130 having the first color 132. The graph 168 of the results of the statistical analysis 165 shown in Fig. 7 also shows an idealized second curve 191, showing the ideal distribution of pixels 162 by color coordinate 160 within the second region of interest 156 detected in the second color field 134 having the second color 136. Fig. 7 also shows an idealized first center 185 representing the first color 132 and an idealized second center 187 representing the second color 136.

Fig. 8 shows a graph 168 of the results of the statistical analysis 165, in particular the histogram analysis 166, comprising two histograms 170. The first histogram 192 can be constructed, for example, by quantizing the values showing the color coordinates 160 of the pixels 162 of the first region of interest 154, and the second histogram 194 can be constructed, for example, by quantizing the values showing the color coordinates 160 of the pixels 162 of the second region of interest 156. Then, a first curve 188 can be fitted to the first histogram 192, and a second curve 190 can be fitted to the second histogram 194. As shown in Fig. 7, a first center 184 can be obtained from the first curve 188, and a second center 186 can be obtained from the second curve 190. In addition, a first width can be obtained from the first curve 188 and the second curve 190 196 and a second width 198. Between the first center 184 and the second center 186, a distance 196 can be determined, considered as the determined (found) distance 198. As indicated above, the colors of the reference color fields 116 are usually known. Thus, therefore, the distance 196 between the ideal first center 185, representing the first color 132, and the ideal second center 187, representing the second color 136, considered as the expected distance 200, is usually known. In particular, as shown in Fig. 9, there may be a difference between the determined distance 198 and the expected distance 200.

The method 140 for assessing the suitability of the mobile device 112 may also include a step e) (method step 201) of correcting at least one color scale 202 of the mobile device 112 for analytical measurement. In order to correct at least one color scale 202 of the mobile device for analytical measurement, in particular, the difference between the determined distance 198 and the expected distance 200 may be used. In particular, to change the scale (rescaling) of at least one color scale 202 of the mobile device 112 for analytical measurement, a stretching of the scale of the color coordinate 160 and/or a shift 204 may be determined. In particular, to change the scale of the color scale 202 of the mobile device 112, a calibration coefficient and/or a shift 204 may be determined.

The mobile device 112 may also be configured to perform at least one analytical measurement based on a color-forming reaction. Fig. 3 shows a flow chart 138 of an embodiment of a method 206 for performing an analytical measurement based on a color-forming reaction. The method 206 for performing an analytical measurement may include a first step i) (method step 208) of assessing the suitability of the mobile device 112 by a corresponding method 140. The suitability of the mobile device 112 for a specific purpose may be assessed by the method 140 described above.

Further, the algorithm for implementing the method 206 may include a branch 210. The branch 210 may indicate a condition query, such as making a decision on choosing between the first branch 212 and the second branch 214. For example, when querying the condition, a suitability information element may be used. The suitability information element 183 may include logical information about the mobile device 112, such as "suitable" ("yes") or "unsuitable" ("no"). The first branch 212 indicates the unsuitability of the mobile device 112 for performing the analytical measurement, and therefore the first branch leads to the execution of the second step ii) (step 216 of the method), namely, to interrupting the execution of the method 206 for performing the analytical measurement, if at least one suitability information element 183 indicates the unsuitability of the mobile device 112 for performing the analytical measurement. In particular, it is impossible to carry out a blood glucose measurement if the suitability information element 183 indicates that the mobile device 112 is unsuitable for carrying out a blood glucose measurement. In particular, it is impossible to carry out a blood glucose measurement if the mobile device 112 and/or the camera 122 do not meet the requirements for the error and/or accuracy of determining the blood glucose concentration.

The second branch 214 indicates the suitability of the mobile device 112 for performing an analytical measurement. Therefore, the second branch leads to the execution of the third step iii) (step 218 of the method), namely to performing an analytical measurement if at least one element of the suitability information 183 indicates the suitability of the mobile device 112 for performing an analytical measurement. In particular, the blood glucose measurement can be performed if the element of the suitability information 183 indicates the suitability of the mobile device 112 for performing a blood glucose measurement. In particular, the blood glucose measurement can be performed only if the camera 122 and/or the mobile device 112 meets the requirements for the error and/or accuracy of determining the concentration of glucose in the blood. For example, after the suitability of the mobile device 112 has been established, it can be used to perform any number of analytical measurements. However, as an alternative, the assessment of the suitability of the mobile device 112, for example by the method 140, can be repeated, for example, after predetermined or predetermined intervals have elapsed or when any changes are made to the mobile device 112. Thus, step i) (method step 208) can be performed at least once before step iii) (method step 218) is performed at least once, or method step 208 can be performed at least once before method step 218 is performed multiple times. However, performing the analytical measurement using the mobile device 112 in method step 218 can include several substeps.

Step 218 of the method may include a first partial step a) (step 220 of the method), including applying at least one sample to at least one test element 118 having at least one indicator reagent 120 capable of causing a color-forming reaction. In particular, at least one sample of a physiological fluid, such as blood, may be applied to the at least one test element 118. The test element 118, as shown in Fig. 1, may comprise an indicator reagent 120 capable of causing a color-forming reaction. In particular, the indicator reagent 120 may be capable of causing a color-forming reaction that is related to the concentration of the analyte in the physiological fluid. For example, the indicator reagent 120 may be capable of causing a color-forming reaction that is related to the concentration of glucose in the blood applied to the test element 118.

The method step 218 may also include a second partial step b) (method step 222), including capturing with the camera 122 at least one image 123 of at least a portion of the test element 118. In particular, when capturing at least one image 123 of at least a portion of the test element 118, an outline 147 may be displayed superimposed on the image on the display 128 of the mobile device 112, as shown in Fig. 10, providing a visual cue for positioning the test element 118 relative to the camera 122 of the mobile device 112. Thus, the cue may be provided both in step 164 of the method 140 and in step 222 of the method 206. Accordingly, Fig. 10, showing the taking of an image by the mobile device 112, may illustrate both step 164 of the method 140 and step 222 of the method 206.

Furthermore, the step 218 of the method may include a third partial step c) (step 224 of the method), including evaluating the image 123 and obtaining at least one element of analytical information about it. In particular, the at least one element of analytical information may be or include a concentration of an analyte in a sample, for example a concentration of glucose in blood applied to the test element 118 containing the indicator reagent 120 capable of causing a color-forming reaction. Evaluating the image 123 may include converting a certain color coordinate of the indicator reagent 120 into a concentration of the analyte in the sample by means of a given or predetermined relationship between the color coordinate and the concentration. This relationship, for example, may be or include a conversion function, a conversion table or a lookup table obtained empirically. Furthermore, this relationship may be stored, for example, in a data storage device contained in the mobile device 112 shown in Fig. 1. In particular, this relationship can be stored in a data storage device by software, in particular by an application. In addition, these software and/or application can be a computer program or can be contained in a computer program containing machine-executable instructions for implementing both the method 140 and the method 206 shown in Fig. 2 and Fig. 3. The program can be executed in a computer or a computer network, in particular, the program can be executed in the processor 126 of the mobile device 112 containing the camera 122.

List of reference designations

110 Analytical Measurement Kit

112 mobile device

114 object

116 reference color field

117 Test element container

118 test element

120 indicator reagent

122 camera

123 image

126 processor

128 display

130 first reference color field

132 first color

134 second reference color field

136 second color

138 block diagram

140 Method of Assessing the Suitability of a Mobile Device

142 step a): providing at least one mobile device having at least one camera

144 step b): providing at least one object having at least one reference color field

146 step c): shooting with a camera at least one image of at least a portion of the reference color field

147 contour

148 step g): obtaining at least one element of color resolution information via an image

150 substep g1): defining at least one region of interest within the image

152 area of interest

154 first area of interest

156 second area of interest

158 substep g2): determining at least one color coordinate of image pixels within the region of interest

160 color coordinate

162 pixel

163 pixel image

164 substep g3): performing at least one statistical analysis regarding the distribution of the color coordinates of the pixels

165 statistical analysis

166 histogram analysis

168 schedule

170 histogram

172 quantitative values

174 axis of quantitative values

175 perfect curve

176 curve

177 minimum width

178 width

179 ideal center

180 center

181 step d): comparing at least one element of color resolution information with at least one threshold value

182 threshold value

183 Suitability Information Element

184 first center

185 ideal first center

186 second center

187 ideal second center

188 first curve

189 ideal first curve

190 second curve

191 Ideal Second Curve

192 first histogram

194 second histogram

196 distance

198 certain distance

200 expected distance

201 step e): correction of at least one color scale of the mobile device for analytical measurement

202 color scale

204 shift

206 Method of conducting analytical measurement

208 Step i): Assessing the suitability of the mobile device

210 branching

212 first branch: mobile device unusable

214 second branch: mobile device is suitable

216 step ii): interruption of execution of the method

218 step iii): conducting analytical measurement

220 partial step a): applying at least one sample to at least one test element

222 partial step b): camera capture of the image of the test element

224 partial step c): image evaluation and obtaining analytical information about it.

Claims (43)

1. A method for assessing the suitability of a mobile device (112) having at least one camera (122) for carrying out an analytical measurement based on a color-forming reaction, comprising: a) providing at least one mobile device (112) having at least one camera (122); b) providing at least one object (114) having at least one reference color field (116); c) shooting with a camera (122) at least one image (123) of at least a part of the reference color field (116); (d) obtaining, via an image (123), at least one element of color resolution information, wherein the at least one element of color resolution information comprises one or more numerical values quantitatively expressing the ability to resolve two or more colors; and d) comparing at least one element of information about the color resolution with at least one threshold value (182), ensuring the determination of at least one element of information about the suitability of the mobile device (112) for the purpose of carrying out an analytical measurement based on the color-forming response; wherein the step of obtaining at least one element of color resolution information via the image (123) comprises: g1) determining at least one region of interest (152) within the image (123); g2) determining at least one color coordinate of pixels (162) of an image (123) within a region of interest (152); g3) performing at least one statistical analysis with respect to the distribution of the color coordinates of the pixels (162) and obtaining at least one element of color resolution information by means of at least one result of this statistical analysis, wherein the statistical analysis includes a histogram analysis of the distribution of color coordinates, wherein the statistical analysis includes determining at least one width (178) of at least one color peak within the distribution of color coordinates, wherein the method includes comparing the width (178) with at least one threshold value (182) for determining the suitability of the mobile device (112) for the purpose of carrying out an analytical measurement based on the color-forming response, wherein at least one element of color resolution information includes the width. 2. The method according to paragraph 1, also including: e) correction of at least one color scale of the mobile device (112) for analytical measurement. 3. The method according to claim 1 or 2, wherein the statistical analysis includes determining at least one color coordinate of at least one center (180) of at least one color peak within the distribution of color coordinates. 4. The method according to one of claims 1-3, wherein the object (114) has at least two reference color fields (116) having different colors, and the statistical analysis includes determining at least two color peaks corresponding to at least two different colors, and determining the distance between the centers of at least two color peaks, wherein the method includes determining at least one calibration coefficient for changing the scale of the color scale based on the ratio of the distance between the centers of at least two color peaks and the expected distance between the centers of at least two color peaks. 5. The method according to one of paragraphs 1-4, in which step c) includes providing the user with a visual prompt for positioning the mobile device (112) relative to the object (114). 6. A method for carrying out an analytical measurement based on a colour-forming reaction using a mobile device (112) having at least one camera (122), comprising: i) assessing the suitability of the mobile device (112) performed by the method according to one of paragraphs 1-5; ii) interrupting the execution of the method for carrying out an analytical measurement if at least one element of the color resolution information indicates that the mobile device (112) is not suitable for carrying out an analytical measurement; iii) performing an analytical measurement, if at least one element of color resolution information indicates the suitability of the mobile device (112) for performing an analytical measurement, comprising the following steps: a. applying at least one sample to at least one test element having at least one indicator reagent capable of causing a color-forming reaction; b. shooting with a camera (122) at least one image (123) of at least a part of the test element; c. evaluating the image (123) and obtaining at least one element of analytical information about it. 7. The method according to claim 6, wherein step ii) includes at least one of the following: informing the user of the mobile device (112) of the unsuitability of the mobile device (112) for performing an analytical measurement; blocking future attempts to perform an analytical measurement using the mobile device (112). 8. A machine-readable data carrier in which a computer program is stored, containing machine-executable commands for implementing the method according to one of paragraphs 1-7 when executing the program on a computer or computer network. 9. A mobile device (112) for carrying out an analytical measurement based on a colour-forming reaction, having at least one camera (122) and configured to carry out an integrated suitability assessment by means of the following steps: I. shooting with a camera (122) at least one image (123) of at least a portion of at least one reference color field (116) on at least one object (114); and II. obtaining, by means of an image (123), at least one element of information on the color resolution, wherein at least one element of information on the color resolution includes one or more numerical values quantitatively expressing the ability to resolve two or more colors; wherein the mobile device (112) is also configured to perform step d) of the method according to one of paragraphs 1-5, and the step of obtaining at least one element of information about the color resolution by means of the image (123) includes: - determining at least one region of interest (152) within the image (123); - determining at least one color coordinate of pixels (162) of an image (123) within a region of interest (152); - performing at least one statistical analysis with respect to the distribution of color coordinates of pixels (162) and obtaining at least one element of information about the color resolution by means of at least one result of this statistical analysis, wherein the statistical analysis includes a histogram analysis of the distribution of color coordinates, wherein the statistical analysis includes determining at least one width (178) of at least one color peak within the distribution of color coordinates, wherein the method includes comparing the width (178) with at least one threshold value (182) for determining the suitability of the mobile device (112) for the purpose of carrying out an analytical measurement based on the color-forming response, wherein at least one element of color resolution information includes the width. 10. The mobile device (112) according to claim 9, also configured to carry out at least one analytical measurement based on the color-forming reaction, by means of the following steps: III. assessing the suitability of the mobile device (112) based on at least one element of color resolution information; IV. interrupting the analytical measurement if at least one element of the color resolution information indicates that the mobile device (112) is not suitable for performing the analytical measurement; V. performing an analytical measurement, if at least one element of color resolution information indicates the suitability of the mobile device (112) for performing an analytical measurement, including the following steps: a. shooting with a camera (122) at least one image (123) of at least a part of a test element (118), wherein the test element (118) has at least one indicator reagent capable of causing a color-forming reaction when at least one sample is applied to the test element (118); b. evaluating the image (123) and obtaining at least one element of analytical information about it. 11. A set for carrying out analytical measurements, containing: - at least one mobile device (112) according to item 9 or 10; - at least one object (114) having at least one reference color field (116); and - at least one test element (118) having at least one indicator reagent capable of causing a color-forming reaction.

Images