Multi-channel cell detection system and method

Abstract

The invention relates to a multichannel cell detection system and method. The multichannel cell detection system comprises: a collection module comprising a plurality of collection assemblies, a first end of each collection assembly is connected with a collection position of a collected dairy cow, each collection assembly comprises a sampling pipeline, and a first end of the sampling pipeline is communicated with the collection position; the detection module comprises a conveying assembly, a multi-channel micro-fluidic chip, an image acquisition assembly and a control assembly, the first end of the conveying assembly is connected with the second end of the sampling pipeline, the second end of the conveying assembly is connected with the first end of the multi-channel micro-fluidic chip, the image acquisition assembly acquires a sample image of the multi-channel micro-fluidic chip, and the control assembly controls the multi-channel micro-fluidic chip; the control assembly is in communication connection with the acquisition module and identifies and analyzes the sample image; and the control assembly is in communication connection with the cloud platform. According to the method, the number of the somatic cells in the raw milk can be rapidly and accurately monitored in real time, and the health condition of the mammary gland of the dairy cow is detected at the same time, so that the dairy quality monitoring efficiency is improved.

Description

Technical Field

[0001] The present application relates to the technical field of bovine milk somatic cell detection, and in particular to a multi-channel cell detection system and method. Background Art

[0002] As one of the important sources of nutrition for humans, the quality and safety of milk are directly related to the health of consumers. In order to ensure the quality of milk, somatic cell count has become an important indicator to measure milk quality. The number of somatic cells usually reflects the health of the cow's mammary gland, especially closely related to mammary gland diseases such as mastitis. Mastitis is a common and potentially harmful disease of dairy cows that can seriously affect the milk production of dairy cows and the safety of dairy products. With the rapid development of modern animal husbandry, especially the popularization of large-scale farming, traditional manual detection methods have been unable to meet the precise control of dairy cow health and dairy product quality.

[0003] In the related technologies, cell counting is usually performed by flow cytometry or microscope combined with image processing technology. These automated systems can quickly and efficiently evaluate the number of somatic cells in cow's milk, providing an important basis for the diagnosis of the mammary health of dairy cows. However, some automated equipment is large in size and lacks portability, making it difficult to detect the number of somatic cells in cow's milk in real time during the milking process of dairy cows. With the development of microfluidics technology, the miniaturization and portability of cow's milk somatic cell detection systems have been significantly improved. With the development of Internet of Things technology, the data obtained from the detection can be transmitted to the cloud in real time, which is convenient for remote monitoring and management. These technological innovations have promoted the advancement of automated somatic cell detection systems and significantly improved the efficiency and accuracy of somatic cell counting.

[0004] However, in the related art, the milk somatic cell detection equipment transfers the collected milk to the milk storage tank through the milk tube. Since each nipple of a cow corresponds to an independent mammary area, mastitis infection is mostly caused by bacteria invading the mammary tissue through the nipple opening, so different mammary areas may be infected independently, resulting in separate onset of mastitis. Therefore, during the collection process, milk samples from diseased mammary areas may be mixed with milk from normal mammary areas, thereby diluting the number of somatic cells and concealing the true situation of the diseased mammary areas. It is difficult to accurately reflect the health status of each mammary area, affecting disease prevention and mammary health assessment, and there is a greater risk of misjudgment. Summary of the invention

[0005] Based on this, it is necessary to provide a multi-channel cell detection system and method that can quickly sample multiple milk areas of a cow to ensure detection accuracy and automatically control detection channels to avoid sample contamination in order to address the above technical problems.

[0006] In a first aspect, the present application provides a multi-channel cell detection system. The multi-channel cell detection system comprises:

[0007] A collection module, the collection module is connected to the collection place of the collected cow, and is used to collect milk from the collected cow. The collection module includes a plurality of collection components, and the first end of each collection component is respectively connected to the collection place of the collected cow, and each collection component includes a sampling pipe, and the first end of the sampling pipe is connected to the collection place;

[0008] A detection module, wherein the sampling pipeline in each collection module is connected to the detection module, and the detection module is placed on the housing, and is used to extract a portion of the milk collected by the collection module as a sample to be detected and perform real-time detection on the sample to be detected, the detection module comprises a conveying component, a multi-channel microfluidic chip, an image acquisition component and a control component, the first end of the conveying component is connected to the second end of the sampling pipeline, the second end of the conveying component is connected to the first end of the multi-channel microfluidic chip, the image acquisition component acquires a sample image of the multi-channel microfluidic chip, the control component is connected to the collection module for communication, and the control component identifies and analyzes the sample image;

[0009] The cloud platform, the control component is connected to the cloud platform for communication, and is used to obtain the recognition and analysis results of the sample image recognized and analyzed by the control component and to issue a conveying control instruction according to the recognition and analysis results.

[0010] In one embodiment, the conveying assembly is disposed on the upper surface of the housing, and the conveying assembly includes:

[0011] A first precision peristaltic pump, wherein the second ends of the plurality of sampling pipes are connected to the first end of the first precision peristaltic pump, and the second end of the first precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipe;

[0012] A second precision peristaltic pump, wherein a first end of the second precision peristaltic pump is connected to the dye chamber through a pipeline, and a second end of the second precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipeline;

[0013] A third precision peristaltic pump, wherein a first end of the third precision peristaltic pump is connected to the cleaning chamber through a pipeline, and a second end of the third precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipeline.

[0014] In one embodiment, the multi-channel microfluidic chip is placed on a stage of the housing, and the multi-channel microfluidic chip includes:

[0015] A plurality of first delivery channels, wherein the first end of each first delivery channel is connected to the second end of the first precision peristaltic pump via a pipeline, and the second end of each first delivery channel is connected to the second end of the second precision peristaltic pump via a pipeline, and each first delivery channel is provided with a Tesla valve;

[0016] A plurality of second delivery channels, wherein a first end of each second delivery channel is connected to a second end of a third precision peristaltic pump via a pipeline, and each second delivery channel is provided with a Tesla valve;

[0017] A plurality of third conveying channels, each of which is communicated with a first conveying channel and a second conveying channel respectively, and each of which is provided with a mixing area and an observation area.

[0018] In one of the embodiments, a vibrator is disposed on the stage, and the vibrator is used to vibrate and expel bubbles when there are bubbles in the observation area.

[0019] In one embodiment, each acquisition component includes:

[0020] A collecting piece, which is connected to the collecting part of the collected cow and is used to obtain milk from the collected cow;

[0021] The milk temporary storage part is connected to the collecting part and is also connected to the first end of the sampling pipeline for temporarily storing milk.

[0022] In one embodiment, each acquisition component further includes:

[0023] A collection pipeline, wherein the first end of the collection pipeline is connected to the milk temporary storage unit and is used to collect qualified milk. The collection pipeline is provided with a collection solenoid valve, which is in communication connection with the control component;

[0024] A waste pipe, the first end of which is connected to the temporary storage unit for milk, is used to output unqualified milk. A waste solenoid valve is arranged on the waste pipe, and the waste solenoid valve is communicatively connected to the control component.

[0025] In one embodiment, the image acquisition assembly is fixed by a housing, and the image acquisition assembly includes:

[0026] A mirror table, which is arranged on the side plate of the shell;

[0027] An objective lens is arranged inside the housing and is disposed on a stage;

[0028] A camera is arranged outside the housing and connected to the stage, and is also connected to the control assembly;

[0029] The laser generator is arranged at the inner bottom of the shell and is located below the stage and the objective lens.

[0030] In one embodiment, the control assembly is disposed on the housing, and the control assembly includes:

[0031] A touch screen, which is arranged on a side panel of the housing and connected to the image acquisition component to display the sample image acquired by the image acquisition component;

[0032] A control panel is located inside the shell and is placed on the touch screen, and is used to identify and analyze sample images and transmit the identification and analysis results to a cloud platform.

[0033] In a second aspect, the present application provides a multi-channel cell detection method, which is applicable to the multi-channel cell detection system described in any of the above embodiments and is applied in a detection module. The multi-channel cell detection method includes:

[0034] Before testing the samples to be tested collected by each collection component, the multi-channel microfluidic chip is cleaned based on the transport component and pipeline cleaning fluid to obtain a cleaned microfluidic chip;

[0035] Using the conveying component to convey the sample to be detected and the dye to the cleaned microfluidic chip to obtain the microfluidic chip after sample conveyance;

[0036] The image acquisition component is used to identify bubbles in the microfluidic chip after sample transfer to obtain bubble identification results;

[0037] When the bubble recognition result indicates that there are no bubbles in the microfluidic chip after sample transfer, a sample image is acquired and recognition analysis is performed on it to obtain a recognition analysis result.

[0038] In a second aspect, the present application provides a multi-channel cell detection method, which is applicable to the multi-channel cell detection system described in any of the above embodiments and is applied in a cloud platform. The multi-channel cell detection method includes:

[0039] Obtaining identification and analysis results and judging the samples to be tested collected by each collection component to obtain sample judgment results;

[0040] Generate a conveying control instruction based on the sample determination result and transmit it to the detection module.

[0041] The above-mentioned multi-channel cell detection system and method collects milk from multiple collection locations, i.e., milk collection areas, of the cows to be collected through the collection module, and then uses part of the milk collected from different milk collection areas as samples to be detected and transmits the samples to be detected to the multi-channel microfluidic chip through the conveying component, and then uses the image acquisition component to collect images of the samples to be detected, and then uses the control component to identify and analyze the collected sample images, i.e., the level of somatic cell count in the samples to be detected, and determines the identification and analysis results through the cloud platform, and then determines the qualified milk collection area and collects and transports the milk, which can monitor the number of somatic cells in the milk in real time, quickly and accurately, detect the health status of the cow's mammary gland, so as to improve the efficiency of dairy product quality monitoring, reduce manual operation errors, and avoid sample contamination. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of a multi-channel cell detection system provided in one embodiment of the present application;

[0043] Figure 2 A schematic diagram of the structure of a collection module provided in one embodiment of the present application;

[0044] Figure 3 A schematic diagram of the structure of a detection module provided in one embodiment of the present application;

[0045] Figure 4 for Figure 3 Another perspective of the detection module;

[0046] Figure 5 A schematic diagram of the structure of a multi-channel microfluidic chip provided in one embodiment of the present application;

[0047] Figure 6 A schematic diagram of a multi-channel cell detection method according to an embodiment of the present application;

[0048] Figure 7 A schematic diagram of a process flow of a multi-channel cell detection method provided in another embodiment of the present application.

[0049] Description of reference numerals:

[0050] 10-acquisition module, 110-acquisition component;

[0051] 111-sampling pipeline, 112-collection piece, 113-milk temporary storage piece, 114-collection pipeline, 115-collection solenoid valve, 116-waste pipeline, 117-waste solenoid valve, 118-qualified milk pipeline;

[0052] 20-detection module, 210-housing, 220-transmission component, 230-multi-channel microfluidic chip, 240-image acquisition component, 250-control component, 260-vibrator;

[0053] 211- stage;

[0054] 221-first precision peristaltic pump, 222-second precision peristaltic pump, 223-third precision peristaltic pump, 224-dye chamber, 225-cleaning chamber, 226-sample waste liquid chamber;

[0055] 231 - first conveying channel, 232 - second conveying channel, 233 - third conveying channel, 234 - mixing area, 235 - observation area;

[0056] 241-stage, 242-objective lens, 243-camera, 244-laser generator;

[0057] 251-touch screen, 252-control panel. DETAILED DESCRIPTION

[0058] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0059] In the description of the present application, it should be understood that if the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. appear, the orientation or position relationship indicated by these terms is based on the orientation or position relationship shown in the accompanying drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0060] In addition, if the terms "first" or "second" appear, these terms are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, if the term "plurality" appears, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0061] In this application, unless otherwise clearly specified and limited, if the terms "installed", "connected", "connected", "fixed" and the like appear, these terms should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integrated connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0062] In the present application, unless otherwise clearly specified and limited, if there is a description that a first feature is "above" or "below" a second feature, etc., or similar descriptions appear, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature being "above", "above" and "above" the second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. The first feature being "below", "below" and "below" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0063] It should be noted that if an element is referred to as being "fixed to" or "disposed on" another element, it may be directly on the other element or there may be a central element. If an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. If any, the terms "vertical", "horizontal", "upper", "lower", "left", "right" and similar expressions used in this application are for illustrative purposes only and do not represent the only implementation method.

[0064] See also Figure 1 , Figure 1 A system schematic diagram of a multi-channel cell detection system in one embodiment of the present application is shown, wherein the multi-channel cell detection system includes an acquisition module 10, a detection module 20 and a cloud platform, wherein the acquisition module 10 and the detection module 20 are connected via a pipeline, and the detection module 20 and the cloud platform are communicatively connected.

[0065] The collection module 10 is connected to the cow to be collected. The collection module 10 includes multiple collection components 110. The first end of each collection component 110 is connected to the collection point of the cow to be collected. Each collection component includes a sampling pipe 111. The first end of the sampling pipe 111 is connected to the collection point.

[0066] The sampling pipeline 111 in each acquisition module 10 is connected to the detection module 20, and the detection module 20 is placed on the housing 210. The detection module 20 includes a conveying component 220, a multi-channel microfluidic chip 230, an image acquisition component 240 and a control component 250. The first end of the conveying component 220 is connected to the second end of the sampling pipeline 111, the second end of the conveying component 220 is connected to the first end of the multi-channel microfluidic chip 230, the image acquisition component 240 collects the sample image of the multi-channel microfluidic chip 230, and the control component 250 is connected to the acquisition module 10 for communication. The control component 250 identifies and analyzes the sample image.

[0067] The cloud platform obtains the recognition and analysis results of the sample image recognized by the control component 250 and issues a conveying control instruction according to the recognition and analysis results.

[0068] When it is necessary to collect milk from the collected cows, the multiple collection components of the collection module 10 are respectively connected to the collection area of ​​the collected cows, that is, the collection place, and then a small amount of milk is collected. Then, a part of the small amount of milk is obtained as the sample to be detected through the conveying component 220, and the sample to be detected in each collection area is respectively conveyed to a channel of the multi-channel microfluidic chip 230. During the conveying process, the image acquisition component 240 performs image acquisition on the multi-channel microfluidic chip 230 containing the sample to be detected to obtain the image to be identified, and the control component 250 performs recognition analysis on the image to be identified to obtain the recognition analysis result, that is, the level of somatic cell count in the sample to be detected. After that, the cloud platform receives the recognition analysis result of the control component 250, generates a conveying control instruction based on the recognition analysis result and transmits it to the control component 250, and the control component 250 controls the collection components of different collection areas to convey milk according to the conveying control instruction.

[0069] In the above-mentioned multi-channel cell detection system, milk is collected from multiple collection locations, i.e., milk collection areas, of the cows to be collected through the collection module 10, and then part of the milk collected from different milk collection areas is used as the sample to be detected and the sample to be detected is transmitted to the multi-channel microfluidic chip 230 through the conveying component 220, and then the image acquisition component 240 is used to acquire images of the sample to be detected, and then the control component 250 is used to identify and analyze the collected sample images, i.e., the level of somatic cell count in the sample to be detected, and the cloud platform is used to determine the identification and analysis results, and then determine the qualified milk collection area and collect and transport milk, which can detect the health status of the cow's mammary gland in real time, quickly and accurately, monitor the number of somatic cells in the milk, improve the efficiency of dairy product quality monitoring, reduce manual operation errors, and avoid sample contamination.

[0070] See also Figure 2 , Figure 2 FIG. 1 is a schematic diagram showing the structure of a collection module 10 in an embodiment of the present application. Figure 1 and Figure 2 The collection module 10 includes a plurality of collection components 110, each of which includes a collection piece 112, a milk temporary storage piece 113, a collection pipeline 114, and a waste pipeline 116. The collection piece 112 is connected to the collection location of the collected cow, the milk temporary storage piece 113 is connected to the collection piece 112, and the milk temporary storage piece 113 is also connected to the first end of the sampling pipeline 111, the first end of the collection pipeline 114 is connected to the milk temporary storage piece 113, and the first end of the waste pipeline 116 is connected to the milk temporary storage piece 113. A collection solenoid valve 115 is provided on the collection pipeline 114, and the collection solenoid valve 115 is connected to the control component 250 in communication. A waste solenoid valve 117 is provided on the waste pipeline 116, and the waste solenoid valve 117 is connected to the control component 250 in communication.

[0071] A small amount of milk is obtained from the collected cow through each collecting unit 112 and stored in the milk temporary storage unit 113 .

[0072] After the control component 250 receives the conveying control instruction, the control component 250 opens the collection solenoid valve 115 on the collection pipe 114 of the collection place where the qualified sample belongs, and the control component 250 opens the waste solenoid valve 117 on the waste pipe 116 of the collection place where the unqualified sample belongs. The collection pipe 114 of the collection place where the qualified sample belongs is connected with the qualified milk pipe 118.

[0073] See also Figure 3 to Figure 4 , Figure 3 and Figure 4 FIG. 2 shows a schematic diagram of the structure of a detection module 20 in an embodiment of the present application. Figures 1 to 4 , the detection module 20 is arranged on the upper surface of the housing 210, and the detection module 20 includes a first precision peristaltic pump 221, a second precision peristaltic pump 222 and a third precision peristaltic pump 223. The second ends of the plurality of sampling pipes 111 are connected to the first end of the first precision peristaltic pump 221, and the second end of the first precision peristaltic pump 221 is connected to the multi-channel microfluidic chip 230 through a pipe. The first end of the second precision peristaltic pump 222 is connected to the dye bin 224 through a pipe, and the second end of the second precision peristaltic pump 222 is connected to the multi-channel microfluidic chip 230 through a pipe. The third precision peristaltic pump 223, the first end of the third precision peristaltic pump 223 is connected to the cleaning bin 225 through a pipe, and the second end of the third precision peristaltic pump 223 is connected to the multi-channel microfluidic chip 230 through a pipe.

[0074] When testing the milk collected by each collection component 110, the first precision peristaltic pump 221 is controlled to obtain a portion of the milk collected by the collection component 110 as a sample to be tested, and the second precision peristaltic pump 222 is controlled to extract the dye from the dye chamber 224. The sample to be tested and the dye are transported to the same channel of the multi-channel microfluidic chip 230 by the first precision peristaltic pump 221 and the second precision peristaltic pump 222, respectively, and the mixed sample flowing through the multi-channel microfluidic chip 230 flows into the sample waste liquid chamber 226.

[0075] See also Figure 5 , Figure 5 FIG. 2 shows a schematic diagram of the structure of a multi-channel microfluidic chip 230 in an embodiment of the present application. Figures 3 to 5 The detection module 20 also includes a multi-channel microfluidic chip 230, which is placed on the stage 211 of the housing 210, and the multi-channel microfluidic chip 230 includes a plurality of first delivery channels 231, a plurality of second delivery channels 232 and a plurality of third delivery channels 233. The first end of each first delivery channel 231 is connected to the second end of the first precision peristaltic pump 221 through a pipeline, and the second end of each first delivery channel 231 is connected to the second end of the second precision peristaltic pump 222 through a pipeline, and the first end of each second delivery channel 232 is connected to the second end of the third precision peristaltic pump 223 through a pipeline. Among them, each first delivery channel 231 is provided with a Tesla valve and each second delivery channel 232 is provided with a Tesla valve. Each third delivery channel 233 is respectively connected to a first delivery channel and a second delivery channel, and each third delivery channel 233 is provided with a mixing area 234 and an observation area 235.

[0076] The sample to be detected and the dye are respectively transported to the same channel of the multi-channel microfluidic chip 230, that is, the same first delivery channel 231, by the first precision peristaltic pump 221 and the second precision peristaltic pump 222. The sample to be detected and the dye flow through the Tesla valve area of ​​the same delivery channel, and the sample to be detected and the dye are preliminarily mixed in the Tesla valve to obtain a preliminary mixed sample. When the preliminary mixed sample reaches the connection between the first delivery channel 231, the second delivery channel 232 and the third delivery channel 233, since the second delivery channel 232 is provided with a Tesla valve, the preliminary mixed sample flows into the third delivery channel 233. The preliminary mixed sample flows through the mixing area 234 for full mixing to obtain a sample to be identified, and then the sample to be identified flows through the observation area 235. At this time, the image acquisition component 240 can be used to collect images of the sample to be identified in the observation area 235 to obtain a sample image, and the sample to be identified whose image is collected in the multi-channel microfluidic chip 230 flows into the sample waste liquid tank 226.

[0077] Continue reading Figures 3 to 5A vibrator 260 is disposed on the stage 211. If bubbles exist in the sample to be identified in the observation area 235, the vibrator 260 is activated to discharge the bubbles.

[0078] Continue reading Figure 3 to Figure 4 The image acquisition component 240 is fixed by the housing 210. The image acquisition component 240 includes a stage 241, an objective lens 242, a camera 243 and a laser generator 244. The stage 241 is arranged on the side plate of the housing, the objective lens 242 is arranged inside the housing and is arranged on the stage 241, the camera 243 is arranged outside the housing and is connected to the stage 241, and the camera 243 is also connected to the control component 250. The laser generator 244 is arranged at the inner bottom of the housing and is located below the stage 241 and the objective lens 242. Among them, a dichroic mirror and a blocking color filter are arranged in the stage 241. The dichroic mirror and the horizontal line are transitionally matched with the inside of the mirror seat at 45 degrees. The blocking color filter is vertically transitionally matched with the horizontal line inside the mirror seat, and the midpoints of the dichroic mirror and the blocking color filter are on the same horizontal line.

[0079] The laser generator 244 projects the excitation light through the objective lens 242 onto the observation area 235 of the multi-channel microfluidic chip 230, and then the somatic cells in the liquid mixed with the dyes irradiated by the excitation light emit fluorescence, and the fluorescence passes through the objective lens 242, and is then reflected to the camera 243 through the dichroic mirror and the blocking filter to obtain a somatic cell image, i.e., a sample image. Then, the image is captured frame by frame and the control component 250 is used in combination with the machine vision algorithm to capture and count the fluorescent points to obtain the number of somatic cells in each channel. Among them, the camera 243 includes a high-speed camera and an ordinary camera, the high-speed camera is used to collect video images of each channel, and the ordinary camera is used to collect pictures of each channel.

[0080] Continue reading Figure 3 to Figure 4 The control component 250 is placed on the shell, and the control component 250 includes a touch screen 251 and a control board 252. The touch screen 251 is placed on the side panel of the shell, the touch screen 251 is connected to the image acquisition component 240, and the control board 252 is located inside the shell and the control board 252 is placed on the touch screen 251.

[0081] After the camera 243 of each channel acquires the somatic cell image or video image, the touch screen 251 displays the sample image or sample video image acquired by the image acquisition component 240, and the control board 252 identifies and analyzes the sample image or sample video image and transmits the identification and analysis results to the cloud platform.

[0082] In an exemplary embodiment, the present application provides a multi-channel cell detection system, which includes an acquisition module 10, a detection module 20 and a cloud platform. The acquisition module 10 is connected to the detection module 20 through a pipeline, and the detection module 20 is communicatively connected to the cloud platform.

[0083] The collection module 10 is connected to the collected cows. The collection module 10 includes a plurality of collection components 110. The first end of each collection component 110 is respectively connected to the collection location of the collected cows. Each collection component includes a sampling pipe 111. The first end of the sampling pipe 111 is connected to the collection location. The collection module 10 includes a plurality of collection components 110. Each collection component 110 includes a collection piece 112, a milk temporary storage piece 113, a collection pipe 114, and a waste pipe 116. The collection piece 112 is connected to the collection location of the collected cows. The milk temporary storage piece 113 is connected to the collection piece 112. The milk temporary storage piece 113 is also connected to the first end of the sampling pipe 111. The first end of the collection pipe 114 is connected to the milk temporary storage piece 113. The first end of the waste pipe 116 is connected to the milk temporary storage piece 113. A collection solenoid valve 115 is provided on the collection pipe 114. The collection solenoid valve 115 is connected to the control component 250 for communication. A waste solenoid valve 117 is disposed on the waste pipe 116 , and the waste solenoid valve 117 is communicatively connected with the control component 250 .

[0084] The sampling pipeline 111 in each acquisition module 10 is connected to the detection module 20, and the detection module 20 is placed on the housing 210. The detection module 20 includes a conveying component 220, a multi-channel microfluidic chip 230, an image acquisition component 240 and a control component 250. The first end of the conveying component 220 is connected to the second end of the sampling pipeline 111, the second end of the conveying component 220 is connected to the first end of the multi-channel microfluidic chip 230, the image acquisition component 240 collects the sample image of the multi-channel microfluidic chip 230, and the control component 250 is connected to the acquisition module 10 for communication. The control component 250 identifies and analyzes the sample image.

[0085] The detection module 20 is arranged on the upper surface of the housing 210, and the detection module 20 includes a first precision peristaltic pump 221, a second precision peristaltic pump 222 and a third precision peristaltic pump 223. The second ends of the plurality of sampling pipes 111 are connected to the first end of the first precision peristaltic pump 221, and the second end of the first precision peristaltic pump 221 is connected to the multi-channel microfluidic chip 230 through a pipe. The first end of the second precision peristaltic pump 222 is connected to the dye bin 224 through a pipe, and the second end of the second precision peristaltic pump 222 is connected to the multi-channel microfluidic chip 230 through a pipe. The third precision peristaltic pump 223, the first end of the third precision peristaltic pump 223 is connected to the cleaning bin 225 through a pipe, and the second end of the third precision peristaltic pump 223 is connected to the multi-channel microfluidic chip 230 through a pipe.

[0086] The detection module 20 also includes a multi-channel microfluidic chip 230, which is placed on the stage 211 of the housing 210, and the multi-channel microfluidic chip 230 includes a plurality of first delivery channels 231, a plurality of second delivery channels 232 and a plurality of third delivery channels 233. The first end of each first delivery channel 231 is connected to the second end of the first precision peristaltic pump 221 through a pipeline, and the second end of each first delivery channel 231 is connected to the second end of the second precision peristaltic pump 222 through a pipeline, and the first end of each second delivery channel 232 is connected to the second end of the third precision peristaltic pump 223 through a pipeline. Among them, each first delivery channel 231 is provided with a Tesla valve and each second delivery channel 232 is provided with a Tesla valve. Each third delivery channel 233 is respectively connected to a first delivery channel and a second delivery channel, and each third delivery channel 233 is provided with a mixing area 234 and an observation area 235.

[0087] The image acquisition component 240 is fixed by the housing 210, and includes a stage 241, an objective lens 242, a camera 243 and a laser generator 244. The stage 241 is arranged on the side plate of the housing, the objective lens 242 is arranged inside the housing and is arranged on the stage 241, the camera 243 is arranged outside the housing and is connected to the stage 241, and the camera 243 is also connected to the control component 250, and the laser generator 244 is arranged at the inner bottom of the housing and is located below the stage 241 and the objective lens 242. Among them, a dichroic mirror and a blocking color filter are arranged in the stage 241, the dichroic mirror and the horizontal line are transitionally matched with the inside of the mirror seat at 45 degrees, the blocking color filter is vertically transitionally matched with the horizontal line inside the mirror seat, and the midpoints of the dichroic mirror and the blocking color filter are on the same horizontal line.

[0088] The control component 250 includes a touch screen 251 and a control board 252 . The touch screen 251 is placed on the side panel of the shell. The touch screen 251 is connected to the image acquisition component 240 . The control board 252 is located inside the shell and is placed on the touch screen 251 .

[0089] The cloud platform obtains the recognition and analysis results of the sample image recognized by the control component 250 and issues a conveying control instruction according to the recognition and analysis results.

[0090] During the collection and detection of cow milk, first, multiple collection components are connected to the collection area of ​​the cow to be collected, and a small amount of milk is collected through these collection components. Then, a small amount of milk is transported to the multi-channel microfluidic chip 230 for further detection. The sample of each collection area is sent to the corresponding channel through the delivery component 220, and the image acquisition component 240 performs real-time image acquisition on the microfluidic chip containing the sample to obtain the image to be identified. The control component 250 identifies and analyzes the image to determine the level of somatic cell count of each sample. During the detection process, the first and second precision peristaltic pumps 222 respectively control the delivery of the sample to be detected and the dye, inject them into the same channel, and perform preliminary mixing in the Tesla valve area. The mixed sample enters the observation area 235, and the laser generator 244 excites the dye in the sample to make the somatic cells emit fluorescence. The fluorescence signal is transmitted to the camera 243 through the optical path. After capturing the somatic cell image, the control component 250 counts the fluorescent points in combination with the machine vision algorithm to obtain the somatic cell count. Finally, the control component 250 transmits the identification result to the cloud platform and generates a conveying control instruction to instruct the collection components at different collection locations to classify the milk according to the test results, ensuring that high-quality milk enters the production chain and low-quality samples enter the waste pipeline 116. The entire process realizes automated, efficient and accurate milk quality testing.

[0091] In one embodiment, Figure 6 As shown, a multi-channel cell detection method is provided. This embodiment uses the method applied to a detection module as an example. In this embodiment, the method includes the following steps:

[0092] Step 602: before testing the samples to be tested collected by each collection component, the multi-channel microfluidic chip is cleaned based on the transport component and pipeline cleaning fluid to obtain a cleaned microfluidic chip.

[0093] Exemplarily, before testing the samples to be tested collected by each collection component, the pipeline cleaning liquid is first transported to the multi-channel microfluidic chip through the conveying component for cleaning and cleaning operations. The pipeline cleaning liquid flows through the various channels of the microfluidic chip to ensure that all channels are thoroughly disinfected and cleaned to avoid cross contamination and ensure the accuracy of sample detection. After cleaning, the pipeline cleaning liquid in the chip is discharged and rinsed through the conveying component to ensure that there is no residual pipeline cleaning liquid affecting subsequent detection. At this point, the cleaned microfluidic chip obtained is ready for the next sample detection process.

[0094] Step 604, using a conveying component to convey the sample to be detected and the dye to the cleaned microfluidic chip, to obtain a microfluidic chip after sample delivery.

[0095] Exemplarily, after the microfluidic chip is ready after cleaning, the sample to be tested and the dye are respectively delivered to each channel of the microfluidic chip by the delivery component. First, the sample to be tested is accurately delivered to the corresponding channel by the delivery component, and the dye is also synchronously injected into the channel. During this process, the sample to be tested and the dye will be preliminarily mixed in the Tesla valve area inside the chip to ensure sufficient contact between the sample and the dye. After the delivery is completed, the sample and dye in the microfluidic chip are ready to form a "post-sample delivery microfluidic chip" for further testing. This chip will be used for the counting and analysis of somatic cells in the subsequent fluorescence detection process.

[0096] Step 606, using the image acquisition component to perform bubble recognition on the microfluidic chip after sample transfer to obtain a bubble recognition result.

[0097] For example, after the sample to be detected and the dye are successfully delivered to the microfluidic chip, the image acquisition component is used to acquire real-time images of the "microfluidic chip after sample delivery" to identify bubbles. The image acquisition component uses a camera to capture the image of the liquid flowing in the chip, paying special attention to the area where bubbles may exist. If there are bubbles in the sample to be identified in the observation area, the vibrator is activated to expel the bubbles.

[0098] Step 608 , when the bubble recognition result is that there are no bubbles in the microfluidic chip after sample transfer, a sample image is acquired and recognition analysis is performed on it to obtain a recognition analysis result.

[0099] Exemplarily, after confirming that there are no bubbles in the microfluidic chip after sample transfer, the system will continue to collect and analyze the sample images. The image acquisition component uses a camera to capture images or videos of the sample in the microfluidic chip to obtain high-definition images or videos of the sample flow area. The collected sample images then enter the recognition and analysis module, and a preset image processing algorithm is used to accurately analyze the sample, that is, to analyze the level of somatic cell count in the sample.

[0100] In one embodiment, Figure 7 As shown, a multi-channel cell detection method is provided. This embodiment uses the method applied to a cloud platform as an example. In this embodiment, the method includes the following steps:

[0101] Step 702, obtaining the identification and analysis results and making judgments on the samples to be tested collected by each collection component to obtain sample judgment results.

[0102] For example, after completing the image recognition and analysis of the sample, the system will judge the samples to be tested collected by each collection component based on the recognition and analysis results. Through the preset judgment criteria and algorithms, the system comprehensively evaluates the sample characteristics in each sampling channel to determine whether it meets the detection requirements, that is, specifically determines whether the somatic cell concentration in the sample exceeds the threshold.

[0103] Step 704, generating a transport control instruction based on the sample determination result and transmitting it to the detection module.

[0104] Exemplarily, if the somatic cell concentration in the sample corresponding to a certain milk collection area is detected to exceed a threshold value, a start instruction for controlling the waste solenoid valve corresponding to the milk collection area and start instructions for the collection solenoid valves corresponding to other milk collection areas are generated.

[0105] After receiving the start command, the control board of the control component in the detection module starts the corresponding solenoid valve and closes the conveying component at the same time.

[0106] For example, the collected milk cows include four collection milk areas. After testing, mastitis is found in the fourth milk area, that is, the somatic cell concentration in the sample corresponding to the fourth milk area exceeds the threshold. Then, a waste solenoid valve start instruction corresponding to the fourth milk area and a collection solenoid start instruction corresponding to the first milk area to the third milk area are generated, and normal milk is gathered into the qualified milk pipeline.

[0107] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0108] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. A multi-channel cell detection system, characterized in that: include: A collection module, the collection module is connected to the collection place of the collected cow, and is used to collect milk from the collected cow. The collection module includes a plurality of collection components, and the first end of each collection component is respectively connected to the collection place of the collected cow, and each collection component includes a sampling pipe, and the first end of the sampling pipe is connected to the collection place; A detection module, wherein the sampling pipeline in each of the acquisition modules is connected to the detection module, and the detection module is placed on a housing, and is used to extract a portion of the milk collected by the acquisition module as a sample to be detected and perform real-time detection on the sample to be detected, the detection module comprises a conveying component, a multi-channel microfluidic chip, an image acquisition component and a control component, the first end of the conveying component is connected to the second end of the sampling pipeline, the second end of the conveying component is connected to the first end of the multi-channel microfluidic chip, the image acquisition component acquires a sample image of the multi-channel microfluidic chip, the control component is communicatively connected to the acquisition module, and the control component identifies and analyzes the sample image; The cloud platform, the control component is communicatively connected with the cloud platform, and is used to obtain the recognition and analysis results of the sample image recognized and analyzed by the control component and to issue a conveying control instruction according to the recognition and analysis results.

2. The multi-channel cell detection system according to claim 1, characterized in that: The conveying assembly is arranged on the upper surface of the housing, and the conveying assembly comprises: A first precision peristaltic pump, wherein the second ends of the plurality of sampling pipes are connected to the first end of the first precision peristaltic pump, and the second end of the first precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipe; a second precision peristaltic pump, wherein a first end of the second precision peristaltic pump is connected to the dye chamber through a pipeline, and a second end of the second precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipeline; A third precision peristaltic pump, wherein a first end of the third precision peristaltic pump is connected to the cleaning chamber through a pipeline, and a second end of the third precision peristaltic pump is connected to the multi-channel microfluidic chip through a pipeline.

3. The multi-channel cell detection system according to claim 2, characterized in that: The multi-channel microfluidic chip is placed on the stage of the housing, and the multi-channel microfluidic chip comprises: A plurality of first delivery channels, wherein the first end of each of the first delivery channels is connected to the second end of the first precision peristaltic pump via a pipeline, and the second end of each of the first delivery channels is connected to the second end of the second precision peristaltic pump via a pipeline, and each of the first delivery channels is provided with a Tesla valve; A plurality of second delivery channels, wherein a first end of each of the second delivery channels is connected to a second end of the third precision peristaltic pump via a pipeline, and each of the second delivery channels is provided with a Tesla valve; A plurality of third conveying channels, each of the third conveying channels is communicated with one of the first conveying channels and one of the second conveying channels respectively, and each of the third conveying channels is provided with a mixing area and an observation area.

4. The multi-channel cell detection system according to claim 3, characterized in that: The stage is provided with a vibrator, and the vibrator is used for vibrating and discharging bubbles when bubbles exist in the observation area.

5. The multi-channel cell detection system according to claim 1, characterized in that: Each of the acquisition components comprises: A collecting piece, the collecting piece is connected to the collecting part of the collected cow, and is used to obtain the milk of the collected cow; A temporary milk storage unit is connected to the collecting unit and is also connected to the first end of the sampling pipe for temporarily storing milk.

6. The multi-channel cell detection system according to claim 5, characterized in that: Each of the acquisition components also includes: A collection pipeline, wherein a first end of the collection pipeline is connected to the milk temporary storage component and is used to collect qualified milk. A collection solenoid valve is provided on the collection pipeline and is in communication connection with the control component. A waste pipe, wherein the first end of the waste pipe is connected to the temporary milk storage component and is used to output unqualified milk. A waste solenoid valve is arranged on the waste pipe and is communicatively connected to the control component.

7. The multi-channel cell detection system according to claim 1, characterized in that: The image acquisition component is fixed by the housing, and the image acquisition component includes: A dressing table, wherein the dressing table is arranged on a side plate of the shell; An objective lens, the objective lens is arranged inside the housing and the objective lens is arranged on a stage; A camera, the camera is arranged outside the housing and connected to the stage, and the camera is also connected to the control assembly; A laser generator is arranged at the inner bottom of the housing and is located below the stage and the objective lens.

8. The multi-channel cell detection system according to claim 1, characterized in that: The control assembly is placed on the housing, and the control assembly includes: A touch screen, the touch screen being arranged on a side panel of the housing, the touch screen being connected to the image acquisition component and being used to display the sample image acquired by the image acquisition component; A control panel is located inside the housing and is placed on the touch screen, and is used to identify and analyze the sample image and transmit the identification and analysis results to the cloud platform.

9. A multi-channel cell detection method, applicable to the multi-channel cell detection system as claimed in any one of claims 1 to 8, used in a detection module, characterized in that: include: Before testing the samples to be tested collected by each collection component, the multi-channel microfluidic chip is cleaned based on the transport component and pipeline cleaning fluid to obtain a cleaned microfluidic chip; Using the transport component to transport the sample to be detected and the dye to the cleaned microfluidic chip to obtain the sample-transferred microfluidic chip; Using an image acquisition component to perform bubble recognition on the microfluidic chip after sample transfer to obtain a bubble recognition result; When the bubble identification result is that there are no bubbles in the microfluidic chip after sample transfer, a sample image is acquired and identification analysis is performed on it to obtain an identification analysis result.

10. A multi-channel cell detection method, applicable to the multi-channel cell detection system as claimed in any one of claims 1 to 8, applied in a cloud platform, characterized in that: include: Obtaining identification and analysis results and judging the samples to be tested collected by each collection component to obtain sample judgment results; A transport control instruction is generated based on the sample determination result and transmitted to the detection module.

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