CN102789591B - Milk somatic cell counting device based on computer vision - Google Patents

Abstract

The milk somatic cell counting device based on computer vision comprises a slide moving device, an image capturing device, an image analyzing device and a light source matched with the image capturing device; the slide moving device comprises an upper layer moving platform and a lower layer moving platform, wherein the upper layer platform is driven by a first stepping motor to move left and right, the lower layer platform is driven by a second stepping motor to move back and forth, and the upper layer moving platform and the lower layer moving platform are both arranged on a running track; the image capturing device consists of a digital microscope and a supporting and fixing part thereof; the image analysis device comprises an industrial personal computer, and the industrial personal computer is provided with an image analysis module; the digital microscope is connected with the industrial personal computer, the control ends of the first stepping motor, the second stepping motor and the light source are all connected with a single chip microcomputer, and the single chip microcomputer is connected with the industrial personal computer. The device controls the movement of the slide by controlling the movement of the movement platform, acquires the amplified image of the milk somatic cells in the movement process, and then analyzes the image to obtain the number of the milk somatic cells.

Description

Milk somatic cell counting device based on computer vision

technical field

The utility model relates to milk somatic cell measurement technology, in particular to a milk somatic cell counting method.

Background technique

Somatic cells in milk typically consist of macrophages, lymphocytes, polymorphonuclear neutrophils, and a small amount of mammary tissue epithelial cells. Somatic cell count (SCC) refers to the number of somatic cells contained in each milliliter of milk.

SCC can reflect the degree of bacterial infection in dairy cows, and can also be used to estimate the loss of milk production in dairy cows. When the body, especially the breast, is infected or injured, body cells travel with the blood to the injured area. On the one hand, macrophages and neutrophils engulf bacteria, while lymphocytes control the immune response and produce antibodies to resist bacterial destruction and protect the body; on the other hand, it is reflected in the number of somatic cells in the expressed milk obviously increase. Somatic cell count is closely related to the udder health of dairy cows. Through the detection of somatic cells, the health status of mammary gland cells in the whole herd can be measured. Therefore, mastitis in dairy cows can be effectively controlled by detecting the number of somatic cells in raw milk. When the SCC exceeds 5×10 ⁵ , the cows are more likely to be infected with bacteria. The incidence of mastitis is high. The composition of the corresponding raw milk increases. The quality of the milk deteriorates. SCC can be used as an important criterion for judging the quality of milk: the lower the SCC, the higher the quality of milk; the higher the SCC, the greater the impact on milk quality.

The current detection methods mainly include California measurement method, fluorescence flow counting method, electron particle counting method, and microscope method.

SCC can be measured using the CMT (California Measurement). CMT is to add a specific surfactant to the milk. When the cells in the milk encounter the surfactant, they will shrink and coagulate, so that the cells will release deoxyribonucleic acid and agglutinate. The more cells there are, the stronger the agglutination state is, and the more agglutination sheets appear. The CMT method is fast, sensitive, and cheap, the test method is simple, requires less equipment, and the results are more accurate. However, the CMT method is only a relative number of somatic cells, rather than an exact number, and it is believed that factors have a greater impact, so specially trained personnel should regularly perform this inspection.

SCC can also be calculated by measuring the chemiluminescent reaction, the fluorescence flow counting method. The method involves adding a fluorescent additive to the milk that is absorbed by the cells. The milk is then illuminated with light of a specific wavelength, at which point the cells fluoresce at another characteristic wavelength. By using a suitable filter that recognizes this characteristic wavelength, the number of cells in the milk can be calculated. This method requires sampling the milk, choosing the right amount of fluorescent additive to mix with it, and choosing the right lighting and filters. This is a labor-intensive and expensive process.

SCC can also be measured by electron particle counting. This method relies on detecting changes in the conductivity of the milk, since in general, the conductivity of mastitis milk is higher than that of normal milk. Conductivity is usually measured through a DC or AC loop with a probe fixed in the milk flow. This probe is very sensitive. The probe typically consists of two electrodes through which a direct or alternating current is passed to create a current in the milk. The change in the conductivity of the milk is measured by the change in current in the loop. However, colloidal deposits in the milk on the electrodes often lead to inaccurate readings. This measurement method also has some disadvantages. This measurement relies on changes in the milk that only occur when bacteria interact with white blood cells. Therefore, it is not suitable for the initial detection of mastitis. At the same time, the reproducibility of this method is relatively poor, because of the significant difference in electrolyte composition and concentration between different tests or different cows. Therefore, it is risky to use this method alone to make a diagnosis.

Microscopy is the standard method for counting somatic cells, and it is often used to calibrate the correctness of somatic cell analyzers and other methods. However, the current microscopy method is limited to manual operation, which will not only cause low work efficiency, but also inevitably produce human errors.

Contents of the invention

In order to overcome the deficiencies of human factors, low detection efficiency and poor accuracy existing in existing milk somatic cell counting devices, the utility model provides a computer vision-based milk somatic cell counting device.

The technical scheme that the utility model solves its technical problem adopts is:

The milk somatic cell counting device based on computer vision is characterized in that: it includes a slide moving device, an imaging device, an image analysis device, and a light source that cooperates with the imaging device; the slide moving device includes an upper layer moving platform, a lower layer A moving platform, the upper platform is driven by the first stepping motor to move left and right, the lower platform is driven by the second stepping motor to move forward and backward, and the upper and lower moving platforms are all set on the running track The imaging device is composed of a digital microscope and its supporting and fixed parts; the image analysis device includes an industrial computer, and the industrial computer is provided with an image analysis module; the digital microscope is connected to the industrial computer, and the first The control terminals of the stepping motor, the second stepping motor and the light source are all connected to a single-chip microcomputer, and the single-chip microcomputer is connected to the industrial computer.

The device controls the movement of the glass slide by controlling the movement of the movement platform, collects enlarged images of milk somatic cells during the movement, and then analyzes the images to obtain the number of milk somatic cells.

The utility model has the advantages that: it solves the shortcomings of the traditional microscopy method, such as slow speed and being easily affected by manual operation, greatly improves the detection accuracy, and can be used for other types of cell counts, and has broad market prospects and application value.

Description of drawings

Fig. 1 is a top view of the slide moving device and imaging device described in the utility model.

Fig. 2 is a side view of the slide moving device and imaging device described in the utility model.

Fig. 3 is a connection relationship diagram between various components in the utility model.

Detailed ways

Below in conjunction with accompanying drawing, the utility model is further described.

A milk somatic cell counting device based on computer vision, comprising a slide moving device, an imaging device, an image analysis device, and a light source of the imaging device; the slide moving device includes an upper motion platform and a lower motion platform, so The upper platform is driven by the first stepping motor to move left and right, and the lower platform is driven by the second stepping motor to move back and forth, and the upper and lower platforms are all set on the running track; The imaging device is composed of a digital microscope and its supporting and fixing parts; the image analysis device includes an industrial computer, and the industrial computer is provided with an image analysis module; the digital microscope is connected to the industrial computer, and the first stepping motor , the control terminals of the second stepping motor and the light source are all connected to the single-chip microcomputer, and the said single-chip microcomputer is connected to the said industrial computer.

As shown in Figure 1, the slide moving device and the imaging device described in the utility model comprise a digital microscope 1, a supporting and fixed part 2 of the digital microscope, a light source 10, a platform running track 4, a moving platform 5, and drive the upper platform to move left and right The first stepper motor 6, the second stepper motor 7 that drives the lower platform to move back and forth, the shock absorber 8, and the second stepper motor is connected with the connecting rod 9 of the motion platform.

As shown in Figure 2, the motion platform is divided into upper and lower layers. The lower layer is driven by a stepping motor to realize the forward and backward movement of the motion platform; the upper layer is driven by a stepping motor to realize the left and right movement of the platform.

As shown in Figure 3, the microcontroller is connected to the two motors and controls their movement. The single-chip microcomputer is connected with the laser light source, and controls its opening and closing. The industrial computer is connected with the single-chip microcomputer, and is connected through a serial port line in this embodiment. The industrial computer controls the movement of the motion platform by sending commands to the microcontroller. The industrial computer is connected to the digital microscope, in this embodiment, through a USB cable. The industrial computer obtains the magnified image of the dyed milk somatic cells from the digital microscope, and then analyzes and recognizes the milk somatic cells in the image through the image analysis software on the industrial computer, and counts them, so that the number of milk somatic cells per unit volume can be calculated.

The content described in the embodiments of this specification is only an enumeration of the realization forms of the utility model concept, and the protection scope of the utility model should not be regarded as being limited to the specific forms stated in the embodiments, and the protection scope of the utility model also includes Equivalent technical means that those skilled in the art can think of according to the concept of the utility model.

Claims (1)

1. The milk somatic cell counting device based on computer vision is characterized in that: it comprises a slide moving device, an imaging device, an image analysis device, and cooperates with the light source of the imaging device; the slide moving device includes an upper motion platform , the lower-level motion platform, the upper-level platform is driven by the first stepping motor to move left and right, the lower-level platform is driven by the second stepping motor to move back and forth, and the upper-level moving platform and the lower-level moving platform are all set to run on the track; the imaging device is composed of a digital microscope and its supporting and fixed components; the image analysis device includes an industrial computer, and the industrial computer is provided with an image analysis module; the digital microscope is connected to the industrial computer, and the The control terminals of the first stepping motor, the second stepping motor and the light source are all connected to the single-chip microcomputer, and the said single-chip microcomputer is connected to the said industrial computer.