CN117147266B - A blood disease analysis system based on special staining of blood morphology - Google Patents
A blood disease analysis system based on special staining of blood morphology Download PDFInfo
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Abstract
The invention relates to the technical field of blood cell analysis, and provides a blood disease analysis system based on special blood morphology staining, which comprises a sample acquisition terminal, a sample terminal, a stain parameter selection terminal, a staining terminal, a microscope analysis terminal and a database comparison terminal; the sample collection terminal is used for collecting a blood sample of a patient; the sample terminal is used for carrying out a sample separation dyeing test on the blood sample; the microscope analysis terminal is used for carrying out microscope analysis and generating first sample division microscopic analysis information; the stain parameter value selecting terminal is used for selecting stain parameters according to the first sample microscopic analysis information; the staining terminal is used for performing a staining experiment on the blood sample by using the selected staining agent; the microscope analysis terminal is used for generating second sample microscopic analysis information; the database comparison terminal is used for comparing the second sample microscopic analysis information to generate corresponding clinical judgment auxiliary information. The invention has the effect of improving the accuracy of the auxiliary function of clinical judgment.
Description
Technical Field
The invention relates to the technical field of blood cell analysis, in particular to a blood disease analysis system based on blood morphology special staining.
Background
Blood morphology specific staining is a specific staining technique used to study and analyze blood cell morphology. These staining techniques can help doctors and laboratory professionals diagnose blood diseases and other health problems, as well as monitor the blood condition of patients. Blood disease analysis systems based on blood morphology specific staining are an automated or semi-automated computer software system that is used to assist doctors and laboratory professionals in analyzing and diagnosing cells in blood samples. These systems provide for faster, accurate and reliable blood disease diagnosis by processing images of blood smears, using the results of special staining techniques.
A number of hematology analysis systems have been developed and, through extensive searching and reference, prior art hematology analysis systems have been found to have a hematology analysis system as disclosed in publication nos. CN115579131A, CN102472738A, CN105008906A, US20220225903A1, EP1526809A1, JPWO2017221386A1, which generally include: the device comprises a blood collection terminal, a sample preparation terminal, a dyeing terminal and an analysis terminal; the blood collection terminal is used for collecting blood of a patient; the sample preparation terminal is used for preparing samples of collected blood; the dyeing terminal is used for dyeing the blood sample; the analysis terminal is used for carrying out microscopic analysis on the stained blood sample and outputting an analysis result. The blood disease analysis system has the defects of single dyeing mode and single analysis mode, and is not easy to quickly and accurately output an analysis result, so that the accuracy of the auxiliary function of clinical judgment is reduced.
Disclosure of Invention
The present invention has been made in view of the above-described drawbacks, and an object of the present invention is to provide a blood disease analysis system based on blood morphology specific staining.
The invention adopts the following technical scheme:
a blood disease analysis system based on blood morphology special staining comprises a sample acquisition terminal, a sample terminal, a stain parameter selection terminal, a staining terminal, a microscope analysis terminal and a database comparison terminal; the sample collection terminal is used for collecting a blood sample of a patient; the sample terminal is used for carrying out a sample separation dyeing test on a blood sample collected outside the designated time; the appointed time refers to the time of blood sampling of a patient, which is appointed by a doctor; the sample separation and dyeing test refers to dividing a corresponding blood sample into at least two equal parts, and using different parameters of the dyeing agents for dyeing test in each equal part of sample; the different parameters comprise a concentration parameter, a volume parameter and a dyeing parameter; the microscope analysis terminal is used for carrying out microscope analysis on the sample after the test to generate first sample division microscopic analysis information; the dyeing agent parameter value selecting terminal is used for selecting corresponding dyeing agent parameters according to the first sub-sample microscopic analysis information of all sub-samples; the dyeing terminal is used for separating samples of blood collected in a designated time and performing a dyeing experiment by using a selected dyeing agent with corresponding parameters; the microscope analysis terminal is used for carrying out microscope analysis on the sample after the experiment to generate second sample division microscopic analysis information; the database comparison terminal is used for comparing the second sample microscopic analysis information with morphological characteristics of different blood cells in the database to generate corresponding clinical judgment auxiliary information.
The sample acquisition terminal comprises a designated time acquisition module, a first sampling module and a second sampling module; the appointed time acquisition module is used for acquiring blood sampling time stipulated by a doctor; the first sampling module is used for sampling blood of a patient outside a designated time; the second sampling module is used for sampling blood of a patient in a specified time.
Optionally, the dyeing agent parameter selection terminal comprises a dyeing differentiation calculation module and a dyeing agent parameter value selection module; the dyeing degree calculating module is used for calculating the corresponding dyeing degree according to the first sample microscopic analysis information; the dye parameter value selecting module is used for selecting the dye parameters used in the sub-samples corresponding to the first sub-sample microscopic analysis information with the highest dye differentiation.
Optionally, the dyeing terminal comprises a dyeing experiment cabin, an intra-cabin temperature control module, an intra-cabin dyeing time control module, a dyeing module and a parameter adjusting module; the dyeing experiment cabin is used for providing a space for dyeing experiments for sample separation; the parameter adjusting module is used for generating corresponding parameter adjusting information according to patient information; the temperature control module in the cabin and the dyeing time control module in the cabin are used for setting the temperature and the dyeing time in the dyeing experiment cabin according to the parameter adjustment information; the dyeing module is used for dyeing the sub-sample in the dyeing experiment cabin by using the selected dyeing agent corresponding to the dyeing parameter.
Optionally, the microscope analysis terminal comprises a microscopic image acquisition module, an image processing module and a microscopic analysis module; the microscopic image acquisition module is used for carrying out microscopic amplification on the separated samples and acquiring blood microscopic images; the image processing module is used for performing image processing on the blood microscopic image; the microscopic analysis module is used for carrying out microscopic analysis on the blood microscopic image after the image processing to generate first sample division microscopic analysis information or second sample division microscopic analysis information.
Optionally, the dyeing degree calculating module comprises an image contrast degree calculating sub-module, a dyeing uniformity degree calculating sub-module, a dyeing definition degree calculating sub-module and a degree collecting sub-module; the image contrast value calculation sub-module is used for calculating a corresponding image contrast value according to the distinguishing condition of the target cells and the background in the blood microscopic image during the test; the dyeing uniformity score calculation sub-module is used for calculating a corresponding dyeing uniformity score according to the dyeing condition of the same area in the target cell; the dyeing definition score submodule is used for calculating a corresponding dyeing definition score according to the boundary display condition of the target cells after dyeing; the differentiating degree total operator module is used for summarizing the image contrast score, the dyeing uniformity score and the dyeing definition score into dyeing differentiating degree;
when the image contrast score calculation sub-module calculates, the following equation is satisfied:
；
wherein,representing an image contrast score; />Representing a first score conversion factor, empirically set by an administrator; />Representing a maximum gray value in a corresponding target cell pixel in the blood microscopic image; />Representing the most significant of the background pixels in a blood microscopy imageA large gray value; />Representing a minimum gray value in a corresponding target cell pixel in the blood microscopic image; />Representing a minimum gray value in a background pixel in the blood microscopic image;
when the dyeing uniformity score calculation sub-module calculates, the following equation is satisfied:
；
wherein,a dyeing uniformity score is represented; />Representing a second score conversion coefficient empirically set by an administrator; />Indicating the first +.within the border of the same staining area in the target cell>The +.>Pixel values of adjacent grid pixels; the boundary of the same dyeing region refers to a circle of pixel points at the outermost periphery of the same dyeing region; the adjacent grid pixel points are eight adjacent pixel points around the corresponding pixel point; />Indicating the first +.within the border of the same staining area in the target cell>A plurality of pixel points; />Representing the total number of pixel points in the boundary of the same staining area in the target cell; />Representing the reference pixel value difference, empirically set by an administrator;
when the dyeing definition score submodule calculates, the following formula is satisfied:
；
wherein,a staining definition score; />Representing a third score conversion factor empirically set by an administrator; />And->Respectively representing different weight coefficients, and setting by an administrator according to experience; />Representing the number of cellular structures displayed in the most clear target cells of the blood microscopic image; />Representing the actual total number of cell structures corresponding to the target cells; />Representing the total number of defects on the boundary of the target cell at which the blood microscopic image is most clear;
when the discrimination aggregation operator module works, the following formula is satisfied:
；
wherein,the dyeing degree of the corresponding sample in the test is represented; and the dyeing agent parameter value selecting module selects parameters of the dyeing agent added in the sample with the largest dyeing distinction degree as dyeing agent parameters.
Optionally, the parameter adjusting module comprises an intra-cabin temperature correction value calculating sub-module and an intra-cabin dyeing time correction value calculating sub-module; the cabin temperature correction value calculation submodule is used for calculating a cabin temperature correction value according to the height, the weight, the skeletal muscle weight and the body fat weight of a patient in the patient information; the in-cabin staining time calibration value is used for calculating the in-cabin staining time calibration value according to the total water content, the total protein content and the body fat percentage in the patient information.
A blood disease analysis method based on blood morphology special staining, applied to the blood disease analysis system based on blood morphology special staining, comprising:
s1, collecting a blood sample of a patient;
s2, carrying out a sample separation dyeing test on a blood sample collected outside a designated time;
s3, carrying out microscopic analysis on the sample after the test to generate first sample microscopic analysis information;
s4, selecting corresponding stain parameters according to the first sub-sample microscopic analysis information of all sub-samples;
s5, separating samples of blood collected in a specified time and performing a dyeing experiment by using a selected dyeing agent with corresponding parameters;
s6, carrying out microscopic analysis on the sample after the experiment to generate second sample microscopic analysis information;
s7, comparing the second sample microscopic analysis information with morphological characteristics of blood cells of different types in the database to generate corresponding clinical judgment auxiliary information.
The beneficial effects obtained by the invention are as follows:
1. the sample acquisition terminal, the sample terminal, the stain parameter selection terminal, the staining terminal, the microscope analysis terminal and the database comparison terminal are arranged to be beneficial to enriching staining modes and analysis modes in two processes of parameter selection and experimental analysis through experiments, so that the stain parameter selection is more accurate, the accuracy of microscopic analysis results is further improved, and the accuracy of clinical judgment auxiliary functions is further improved;
2. the arrangement of the appointed time acquisition module, the first sampling module and the second sampling module is beneficial to more accurately sampling blood according to the appointed time, so that the sampling accuracy is improved, and the accuracy of the clinical judgment auxiliary function is improved;
3. the dyeing differentiation calculation module and the dyeing agent parameter value selection module are arranged to be beneficial to improving the accuracy of the dyeing agent parameter selection through the dyeing differentiation calculation, so that the accuracy of the clinical judgment auxiliary function is improved;
4. the dyeing experiment cabin, the cabin temperature control module, the cabin dyeing time control module, the dyeing module and the parameter adjusting module are arranged to be beneficial to improving the quality and the dyeing accuracy of the dyeing process, the dyeing quality is further improved through the cabin temperature control and the cabin dyeing time control, and the accuracy of microscopic analysis is further improved, so that the accuracy of clinical judgment auxiliary functions is improved;
5. the microscopic image acquisition module, the image processing module and the microscopic analysis module are arranged to be beneficial to improving the accuracy and timeliness of microscopic image acquisition, so that the accuracy of image processing and microscopic analysis is improved, and the accuracy of clinical judgment auxiliary functions is improved;
6. the image contrast value calculating sub-module, the dyeing uniformity value calculating sub-module, the dyeing definition value sub-module and the distinguishing degree converging sub-module are matched with the image contrast value algorithm, the dyeing uniformity value algorithm, the dyeing definition value and the dyeing distinguishing degree algorithm, so that the accuracy of the image contrast value, the dyeing uniformity value, the dyeing definition value and the dyeing distinguishing degree is improved, the accuracy of the parameter selection of the dye is greatly improved, and the accuracy of the clinical judgment auxiliary function is improved;
7. the temperature correction value calculation sub-module and the dyeing time correction value calculation sub-module are matched with the temperature correction coefficient algorithm, the dyeing time correction value algorithm and the dyeing time correction coefficient algorithm, so that the accuracy of the temperature control and the dyeing time control in the cabin is further improved, and the accuracy of the clinical judgment auxiliary function is further improved.
For a further understanding of the nature and the technical aspects of the present invention, reference should be made to the following detailed description of the invention and the accompanying drawings, which are provided for purposes of reference only and are not intended to limit the invention.
Drawings
FIG. 1 is a schematic diagram of the overall structure of the present invention;
FIG. 2 is a schematic diagram of a dye differentiation degree calculation module according to the present invention;
FIG. 3 is a schematic diagram of a parameter adjustment module according to the present invention;
FIG. 4 is a schematic flow chart of a blood disease analysis method based on blood morphology special staining in the present invention;
FIG. 5 is a schematic diagram of the structure of the temperature calibration value calculation sub-module in the cabin according to the present invention;
FIG. 6 is a schematic diagram of the structure of the in-cabin dye time calibration value calculation sub-module according to the present invention.
Detailed Description
The following embodiments of the present invention are described in terms of specific examples, and those skilled in the art will appreciate the advantages and effects of the present invention from the disclosure herein. The invention is capable of other and different embodiments and its several details are capable of modification and variation in various respects, all without departing from the spirit of the present invention. The drawings of the present invention are merely schematic illustrations, and are not drawn to actual dimensions, and are stated in advance. The following embodiments will further illustrate the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
Embodiment one: the embodiment provides a blood disease analysis system based on blood morphology special staining. Referring to fig. 1, a blood disease analysis system based on blood morphology special staining comprises a sample collection terminal, a sample terminal, a stain parameter selection terminal, a staining terminal, a microscope analysis terminal and a database comparison terminal; the sample collection terminal is used for collecting a blood sample of a patient; the sample terminal is used for carrying out a sample separation dyeing test on a blood sample collected outside the designated time; the appointed time refers to the time of blood sampling of a patient, which is appointed by a doctor; the sample separation and dyeing test refers to dividing a corresponding blood sample into at least two equal parts, and using different parameters of the dyeing agents for dyeing test in each equal part of sample; the different parameters comprise a concentration parameter, a volume parameter and a dyeing parameter; the microscope analysis terminal is used for carrying out microscope analysis on the sample after the test to generate first sample division microscopic analysis information; the dyeing agent parameter value selecting terminal is used for selecting corresponding dyeing agent parameters according to the first sub-sample microscopic analysis information of all sub-samples; the dyeing terminal is used for separating samples of blood collected in a designated time and performing a dyeing experiment by using a selected dyeing agent with corresponding parameters; the microscope analysis terminal is used for carrying out microscope analysis on the sample after the experiment to generate second sample division microscopic analysis information; the database comparison terminal is used for comparing the second sample microscopic analysis information with morphological characteristics of different types of blood cells in the database to generate corresponding clinical judgment auxiliary information;
the sample acquisition terminal comprises a designated time acquisition module, a first sampling module and a second sampling module; the appointed time acquisition module is used for acquiring blood sampling time stipulated by a doctor; the first sampling module is used for sampling blood of a patient outside a designated time; the second sampling module is used for sampling blood of a patient in a specified time.
Optionally, the dyeing agent parameter selection terminal comprises a dyeing differentiation calculation module and a dyeing agent parameter value selection module; the dyeing degree calculating module is used for calculating the corresponding dyeing degree according to the first sample microscopic analysis information; the dye parameter value selecting module is used for selecting the dye parameters used in the sub-samples corresponding to the first sub-sample microscopic analysis information with the highest dye differentiation.
Optionally, the dyeing terminal comprises a dyeing experiment cabin, an intra-cabin temperature control module, an intra-cabin dyeing time control module, a dyeing module and a parameter adjusting module; the dyeing experiment cabin is used for providing a space for dyeing experiments for sample separation; the parameter adjusting module is used for generating corresponding parameter adjusting information according to patient information; the temperature control module in the cabin and the dyeing time control module in the cabin are used for setting the temperature and the dyeing time in the dyeing experiment cabin according to the parameter adjustment information; the dyeing module is used for dyeing the sub-sample in the dyeing experiment cabin by using the selected dyeing agent corresponding to the dyeing parameter.
Optionally, the microscope analysis terminal comprises a microscopic image acquisition module, an image processing module and a microscopic analysis module; the microscopic image acquisition module is used for carrying out microscopic amplification on the separated samples and acquiring blood microscopic images; the image processing module is used for performing image processing on the blood microscopic image; the microscopic analysis module is used for carrying out microscopic analysis on the blood microscopic image after the image processing to generate first sample division microscopic analysis information or second sample division microscopic analysis information.
Optionally, referring to fig. 2, the dyeing degree calculating module includes an image contrast ratio calculating sub-module, a dyeing uniformity ratio calculating sub-module, a dyeing definition ratio sub-module, and a degree of differentiation aggregation calculating sub-module; the image contrast value calculation sub-module is used for calculating a corresponding image contrast value according to the distinguishing condition of the target cells and the background in the blood microscopic image during the test; the dyeing uniformity score calculation sub-module is used for calculating a corresponding dyeing uniformity score according to the dyeing condition of the same area in the target cell; the dyeing definition score submodule is used for calculating a corresponding dyeing definition score according to the boundary display condition of the target cells after dyeing; the differentiating degree total operator module is used for summarizing the image contrast score, the dyeing uniformity score and the dyeing definition score into dyeing differentiating degree;
when the image contrast score calculation sub-module calculates, the following equation is satisfied:
；
wherein,representing an image contrast score; />Representing a first score conversion factor, empirically set by an administrator; />Representing a maximum gray value in a corresponding target cell pixel in the blood microscopic image; />Representing a maximum gray value in a background pixel in the blood microscopic image; />Representing a minimum gray value in a corresponding target cell pixel in the blood microscopic image; />Representing a minimum gray value in a background pixel in the blood microscopic image;
when the dyeing uniformity score calculation sub-module calculates, the following equation is satisfied:
；
wherein,a dyeing uniformity score is represented; />Representing a second score conversion coefficient empirically set by an administrator; />Indicating the first +.within the border of the same staining area in the target cell>The +.>Pixel values of adjacent grid pixels; the boundary of the same dyeing region refers to a circle of pixel points at the outermost periphery of the same dyeing region; the adjacent grid pixel points are eight adjacent pixel points around the corresponding pixel point; />Indicating the first +.within the border of the same staining area in the target cell>A plurality of pixel points; />Representing the total number of pixel points in the boundary of the same staining area in the target cell; />Representing the reference pixel value difference, empirically set by an administrator;
when the dyeing definition score submodule calculates, the following formula is satisfied:
；
wherein,a staining definition score; />Representing the third score conversion factor, based on the warpSetting up a test; />And->Respectively representing different weight coefficients, and setting by an administrator according to experience; />Representing the number of cellular structures displayed in the most clear target cells of the blood microscopic image; />Representing the actual total number of cell structures corresponding to the target cells; />Representing the total number of defects on the boundary of the target cell at which the blood microscopic image is most clear;
when the discrimination aggregation operator module works, the following formula is satisfied:
；
wherein,the dyeing degree of the corresponding sample in the test is represented; and the dyeing agent parameter value selecting module selects parameters of the dyeing agent added in the sample with the largest dyeing distinction degree as dyeing agent parameters.
Optionally, referring to fig. 3, the parameter adjusting module includes an intra-cabin temperature calibration value calculating sub-module and an intra-cabin dyeing time calibration value calculating sub-module; the cabin temperature correction value calculation submodule is used for calculating a cabin temperature correction value according to the height, the weight, the skeletal muscle weight and the body fat weight of a patient in the patient information; the in-cabin dyeing time correction value calculation submodule is used for calculating an in-cabin dyeing time correction value according to the total water content, the total protein content and the body fat percentage in the patient information.
A blood disease analysis method based on blood morphology special staining, which is applied to the blood disease analysis system based on blood morphology special staining as described above, and is shown in fig. 4, the blood disease analysis method comprises:
s1, collecting a blood sample of a patient;
s2, carrying out a sample separation dyeing test on a blood sample collected outside a designated time;
s3, carrying out microscopic analysis on the sample after the test to generate first sample microscopic analysis information;
s4, selecting corresponding stain parameters according to the first sub-sample microscopic analysis information of all sub-samples;
s5, separating samples of blood collected in a specified time and performing a dyeing experiment by using a selected dyeing agent with corresponding parameters;
s6, carrying out microscopic analysis on the sample after the experiment to generate second sample microscopic analysis information;
s7, comparing the second sample microscopic analysis information with morphological characteristics of blood cells of different types in the database to generate corresponding clinical judgment auxiliary information.
Embodiment two: the embodiment includes the whole content of the first embodiment, and provides a hematopathy analysis system based on special staining of blood morphology, and referring to fig. 5, the intra-cabin temperature calibration value calculation submodule includes a temperature calibration coefficient selection unit and an intra-cabin temperature calibration value calculation unit; the temperature correction coefficient selection unit is used for calculating a temperature correction coefficient according to the real-time temperature of the place where the dyeing experiment cabin is located and the initial temperature in the dyeing experiment cabin; the intra-cabin temperature correction value calculation unit is used for calculating an intra-cabin temperature correction value according to the temperature correction coefficient, the height of the patient in the patient information, the weight of the patient, the weight of skeletal muscle and the weight of body fat.
When the temperature correction coefficient selection unit operates, the following equation is satisfied:
；
wherein,representing a temperature calibration coefficient; />The real-time temperature value of the place where the dyeing experiment cabin is located is represented; />The initial temperature values in the dyeing test chamber are shown.
When the in-cabin temperature correction value calculation unit calculates, the following equation is satisfied:
；
；
；
wherein,representing a cabin temperature calibration value; />A temperature calibration reference value selection function representing a temperature calibration index based; />Representing a temperature calibration index; />、/>And->Respectively represent different temperature calibration reference valuesThe administrator sets according to experience; />And->Respectively representing different selection thresholds, which are set by an administrator according to experience; />、/>And->Respectively representing different index conversion coefficients, which are set by an administrator according to experience; />A value representing the height of the patient in the patient information; />A value representing the weight of the patient in the patient information; />A value representing the weight of body fat in the patient information; />A value representing skeletal muscle weight in patient information. The cabin temperature control module increases +.A cabin temperature is set based on a preset reference experiment temperature>。
Referring to fig. 6, the in-cabin dyeing time proofreading value calculation submodule includes a dyeing time proofreading coefficient selection unit and an in-cabin dyeing time proofreading value calculation unit; the dyeing time proofreading coefficient selection unit is used for calculating a dyeing time proofreading coefficient according to the temperature proofreading coefficient; the intra-cabin dyeing time proofreading value calculation unit is used for calculating an intra-cabin dyeing time proofreading value according to the dyeing time proofreading coefficient, the total water content in the patient information, the total protein content and the body fat percentage.
When the dyeing time correction coefficient selection unit works, the following equation is satisfied:
；
wherein,indicating the dyeing time calibration factor.
When the in-cabin dyeing time correction value calculating unit calculates, the following equation is satisfied:
；
；
；
wherein,representing a dyeing time correction value in the cabin; />A dyeing time proofreading reference value selection function representing a dyeing time proofreading index based on the dyeing time proofreading index; />Representing a dyeing time proofreading index; />、/>And->Respectively representing different dyeing time correction reference values, which are set by an administrator according to experience; />And->Respectively representing different selection thresholds, which are set by an administrator according to experience; />、/>And->Respectively representing different index conversion coefficients, which are set by an administrator according to experience; />A volume value representing the total amount of water contained in the patient's body in the patient information; />A weight value representing the protein of the muscle formed by the human body of the patient in the patient information; />A value representing the weight of body fat in the patient information; />A value representing skeletal muscle weight in patient information. The dyeing time control module in the cabin increases +.f on the basis of the preset reference experiment dyeing time when setting the dyeing time in the cabin>。
The foregoing disclosure is only a preferred embodiment of the present invention and is not intended to limit the scope of the invention, so that all equivalent technical changes made by the application of the present invention and the accompanying drawings are included in the scope of the invention, and in addition, the elements in the invention can be updated with the technical development.
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| CN105136795A (en) * | 2015-07-20 | 2015-12-09 | 爱威科技股份有限公司 | Blood sample detection device, blood sample detection method and blood sample detection system |
| CN109781747A (en) * | 2019-03-05 | 2019-05-21 | 齐鲁工业大学 | Method and system for detecting staining effect of cytology specimen samples based on machine vision |
| CN113933134A (en) * | 2020-07-14 | 2022-01-14 | 深圳迈瑞生物医疗电子股份有限公司 | Staining method for staining sample and related equipment |
| CN114279795A (en) * | 2020-09-28 | 2022-04-05 | 成都天士力诺唯生物科技有限公司 | Rapid detection system, detection method and application of tissue sample |
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| US10706535B2 (en) * | 2017-09-08 | 2020-07-07 | International Business Machines Corporation | Tissue staining quality determination |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105136795A (en) * | 2015-07-20 | 2015-12-09 | 爱威科技股份有限公司 | Blood sample detection device, blood sample detection method and blood sample detection system |
| CN109781747A (en) * | 2019-03-05 | 2019-05-21 | 齐鲁工业大学 | Method and system for detecting staining effect of cytology specimen samples based on machine vision |
| CN113933134A (en) * | 2020-07-14 | 2022-01-14 | 深圳迈瑞生物医疗电子股份有限公司 | Staining method for staining sample and related equipment |
| CN114279795A (en) * | 2020-09-28 | 2022-04-05 | 成都天士力诺唯生物科技有限公司 | Rapid detection system, detection method and application of tissue sample |
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