Sample detection apparatus and animal cell analysis method

Abstract

The invention discloses a sample detection device and an animal cell analysis method. The sample detection device comprises a sampling assembly, a detection assembly, a control assembly, a communication interface and an output device. And the detection assembly is used for performing blood routine detection on the sample collected by the sampling assembly to obtain cell detection information of animal cells. The control assembly is connected with the sampling assembly and the detection assembly and used for controlling the sampling assembly to collect samples and controlling the detection assembly to conduct blood routine examination. The communication interface is connected with the control assembly and used for obtaining microscopic examination images. And the output equipment is connected with the control assembly and is used for outputting the cell detection information and the cell identification information. Wherein the control assembly is further used for analyzing the microscopic examination image so as to obtain cell identification information corresponding to the microscopic examination image. By means of the mode, the cells of the sample can be analyzed in combination with the microscopic examination image, and therefore the analysis efficiency of the animal cells is improved.

Description

Technical Field

[0001] The present application relates to the technical field of blood analysis, and in particular to a sample detection device and an analysis method of animal cells. Background Art

[0002] When diagnosing and treating animals, they are usually given a blood test. Since veterinary blood tests are more likely to show abnormal results, manual slide microscopy is also used to determine the animal's condition.

[0003] The interpretation of veterinary blood smear microscopy often requires experience accumulation. For inexperienced novices, key information in the microscopic images may be overlooked, leading to delayed diagnosis and treatment. Summary of the invention

[0004] The main technical problem solved by the present application is to provide an animal cell analysis method and a sample detection device, which can identify animal cells in the sample liquid and issue an alarm after identifying diseased cells in the animal cells, thereby reducing the workload consumed in the disease confirmation process and improving the efficiency of animal cell analysis.

[0005] In order to solve the above technical problems, a technical solution adopted in the present application is: to provide a sample detection device, which includes: a sampling component; a detection component, which is used to perform a routine blood test on the sample collected by the sampling component to obtain cell detection information of animal cells; a control component, which connects the sampling component and the detection component, and is used to control the sampling component to collect samples, and control the detection component to perform a routine blood test; a communication interface, which is connected to the control component and is used to obtain a microscopic image; wherein the control component is also used to analyze the microscopic image to obtain cell identification information corresponding to the microscopic image; an output device, which is connected to the control component and is used to output cell detection information and cell identification information.

[0006] To solve the above technical problems, another technical solution adopted in the present application is: to provide an animal cell analysis method, the method comprising: obtaining cell detection information of animal cells obtained by performing blood routine testing on samples collected by a sampling component through a detection component, obtaining a microscopic image of the animal cells through a communication interface, analyzing the microscopic image to obtain cell identification information corresponding to the microscopic image; and outputting the cell identification information and / or cell detection information through an output device.

[0007] The beneficial effects of the present application are as follows: Different from the prior art, by setting a control component in the sample detection device to analyze the microscopic image to obtain the cell identification information corresponding to the microscopic image, the workload consumed by manual film reading can be reduced, thereby reducing the workload consumed in the process of confirming the disease, thereby improving the efficiency of the sample detection device in analyzing animal cells. In addition, the sample detection device can also analyze cells in combination with cell identification information and cell detection information, thereby improving the accuracy of cell analysis in the sample liquid and reducing the occurrence of cell identification errors. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 is a schematic diagram of the structure of a sample detection device according to an embodiment of the sample detection device of the present application;

[0009] Figure 2 is a schematic diagram of the circuit structure of a control component of a sample detection device embodiment of the present application;

[0010] Figure 3 It is a schematic flow chart of an analysis method of animal cells in an embodiment of a sample detection device of the present application;

[0011] Figure 4 It is a schematic diagram of a cell individual snapshot page of an embodiment of a sample detection device of the present application;

[0012] Figure 5 is a schematic diagram of a cell correction page of an embodiment of a sample detection device of the present application;

[0013] Figure 6 It is a schematic diagram of a display screen of an embodiment of a sample detection device of the present application;

[0014] Figure 7 It is a schematic diagram of the symptom setting page of the sample detection device embodiment of the present application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0016] When diagnosing and treating animals, they are usually given a blood test. Since veterinary blood tests are often more likely to produce abnormal results, such as errors in the detection of the content of a certain type of cell in animal cells, manual slide microscopy is used to accurately determine the animal's disease when determining the animal's disease.

[0017] Then the interpretation of veterinary blood smear microscopy often requires experience accumulation and high requirements on ability. For inexperienced novices, key information in the microscopic images may be overlooked, resulting in delayed diagnosis and treatment. In order to solve the above technical problems, the present application proposes the following embodiments.

[0018] like Figure 1 As shown, the sample detection device described in the sample detection device embodiment of the present application may include a sampling component 140, a detection component 160 and a control component 110. The sampling component 140 is used to collect samples, and the samples may be blood samples of animals. The detection component 160 is used to perform a routine blood test on the sample collected by the sampling component 140 to obtain cell detection information of animal cells. The cell detection information is information obtained by performing a routine blood test on the sample. Before performing a routine blood test on the collected sample, the collected sample can be processed first, for example, the blood sample and a processing reagent are reacted to prepare a sample to be tested.

[0019] The control component 110 connects the sampling component 140 and the detection component 160, and is used to control the sampling component 140 to collect samples, and control the detection component 160 to perform blood routine tests. The control component 110 can also be called a CPU (Central Processing Unit). The control component 110 may be an integrated circuit chip with signal processing capabilities. The control component 110 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The general-purpose processor can be a microprocessor or the control component 110 can also be any conventional processor, etc.

[0020] It is understandable that the control component 110 is coupled to the memory 120 to execute the computer program stored in the memory 120 to implement the animal cell analysis method described in the sample detection device embodiment of the present application. The memory 120 is used to store computer programs, which can be ROM (Read-Only Memory), RAM (Random Access Memory), or other types of storage devices. Specifically, the memory 120 may include one or more computer-readable storage media, which may be non-transitory. The memory 120 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 120 is used to store at least one program code.

[0021] In order to enable the control component 110 of the sample detection device to analyze the microscopic image to reduce the error caused by manual microscopic examination, the sample detection device also includes a communication interface 130, which is connected to the control component 110. The microscopic image can be obtained from the external system through the communication interface 130. The control component 110 is used to analyze the microscopic image to obtain the cell identification information corresponding to the microscopic image. The cell identification information is the result of analyzing the microscopic image of the sample. The communication interface 130 is a device or circuit used by the sample detection device to communicate with external equipment, so that the processing circuit can exchange data with the external equipment through the communication circuit.

[0022] In order to output the results of the sample detection device, for example, displaying cell detection information and / or cell identification information on a display screen of the sample detection device, the sample detection device also includes an output device 150, and the output device 150 is connected to the control component 110, and is used to output the cell detection information and cell identification information obtained by the control component 110 when analyzing the sample.

[0023] like Figure 2 As shown, the control component 110 includes a circuit board 111 and a main control chip 112. The main control chip 112 is installed on the circuit board 111 and is connected to the sampling component 140, the detection component 160, the communication interface 130, and the output device 150 through the circuit board 111. The main control chip 112 is provided with a first burning area 1121 and a second burning area 1122. The first burning area 1121 is burned with a routine blood test program for running to obtain cell detection information. The second burning area 1122 is burned with a microscopy analysis program for running to obtain cell identification information.

[0024] Optionally, in addition to performing routine blood tests on samples and performing microscopic analysis on microscopic images, the control component 110 can also be used to determine whether the cell detection information and cell identification information are abnormal. After the control component 110 determines the cell detection information and cell identification information, the output device 150 can output output information generated by the control component 110 according to the determination result, for example, information that prompts the user whether to perform routine blood tests or microscopic image analysis.

[0025] Specifically, when the control component 110 determines that the cell detection information is abnormal, the output device 150 is used to output information prompting the user to perform microscopic image analysis; when the control component 110 determines that the cell identification information is abnormal, the output device 150 is used to output information prompting the user to perform a routine blood test. When the output device 150 prompts the user to perform a microscopic image analysis, the user can choose to analyze the microscopic image, and then the control component 110 outputs the cell identification information through the output device 150. Similarly, when the output device 150 prompts the user to perform a routine blood test, the user can choose to perform a routine blood test on the sample, and then the control component 110 can output the cell detection information through the output device 150. In this way, the practicality of the sample detection device can be improved, the use scenarios of the sample detection device can be increased, and the accuracy of the sample detection device in detecting the sample can be improved.

[0026] Optionally, the control component 110 is also used to obtain information about a preset disease when it is determined that both the cell identification information and the cell detection information are abnormal and both meet the preset conditions of the preset disease, and the output device 150 is used to output the information about the preset disease and output alarm information. In other words, the sample detection device can confirm whether the blood sample is normal or abnormal through the cell identification information and the cell detection information. When the blood sample is abnormal and meets the preset conditions of the preset disease, the disease information is output and an alarm is sounded to attract the attention of the detection personnel.

[0027] like Figure 3 As shown, the animal cell analysis method described in the sample detection device embodiment of the present application can be executed by the control component 110, and the analysis method described therein may include: S100: obtaining cell detection information of animal cells obtained by performing a routine blood test on the sample collected by the sampling component through the detection component, obtaining a microscopic image of the animal cells through the communication interface, and analyzing the microscopic image to obtain cell identification information corresponding to the microscopic image; S200: outputting the cell identification information and / or cell detection information through the output device.

[0028] The control component 110 of the sample detection device obtains the microscopic image of the animal cell through the communication interface 130, and analyzes the microscopic image to obtain the cell identification information corresponding to the microscopic image, which can realize the detection of the microscopic image by the sample detection device, thereby reducing the workload consumed by manual film reading and the workload consumed in the process of confirming the disease, thereby improving the efficiency of cell analysis. In addition, the sample detection device can also obtain the cell detection information of the animal cell obtained by the routine blood test of the sample collected by the sampling component 140 through the detection component 160, so that both the routine blood test results and the microscopic results can be obtained through the sample detection device, which can improve the utilization rate of the sample detection device. By combining the cell identification information and the cell detection information to analyze the animal cells, the accuracy of the cell analysis in the sample liquid can be improved, and the situation of cell identification errors can be reduced.

[0029] The following is a detailed description of an example of the method for analyzing animal cells of the present application.

[0030] S100: Acquire cell detection information of animal cells obtained by performing a routine blood test on a sample collected by a sampling component through a detection component, acquire a microscopic image of the animal cells through a communication interface, and analyze the microscopic image to obtain cell identification information corresponding to the microscopic image.

[0031] The cell detection information may be information obtained by using a signal sent by the detection component 160 that detects the sample liquid. For example, when performing blood cell analysis on the sample liquid, the detection component 160 may detect the sample liquid to obtain a pulse signal of an animal cell in the sample liquid, and send the pulse signal to the control component 110, so that the control component 110 obtains the cell detection information of the animal cell in the sample liquid.

[0032] To reduce the workload of manual microscopic examination, the control component 110 can also obtain microscopic images of animal cells through the communication interface 130, and analyze the microscopic images to obtain cell identification information corresponding to the microscopic images. The cell identification information can be the type of each cell in the microscopic image, the number and proportion of each type of animal cells in the microscopic image, screenshots of each cell, etc.

[0033] The control component 110 may obtain the microscopic image by reading it from a USB flash drive through the communication interface 130, obtaining it through a wireless network (such as WiFi, Bluetooth, etc.), or obtaining it through a wired network, for example, by uploading it to a terminal that communicates with the control component 110.

[0034] Optionally, when obtaining cell identification information, cell detection information can also be used to assist in obtaining, and the control component 110 can also be a component for biochemical analysis of the sample liquid. In some embodiments, there may be interference information in the blood that affects the control component 110's recognition of cells in the microscopic image. For example, there are some substances in the blood that cause the microscopic image to be unclear, thereby causing errors in the recognition of cells in the microscopic image. Therefore, when obtaining the cell identification information corresponding to the microscopic image, the interference information in the cell detection information can be used to assist the control component 110 in obtaining the cell identification information. Or after obtaining the cell identification information corresponding to the microscopic image, the interference information in the cell detection information can be used to update or adjust the cell identification information to obtain cell identification information with more correct identification results. For example, the interference information in the blood is analyzed to obtain the clarity that the microscopic image should be adjusted, which can be the interference degree corresponding to the interference information corresponding to the adjustable resolution, so that a clear image of each cell can be obtained from the microscopic image, and then the information of each cell can be correctly identified to obtain cell identification information with correct results.

[0035] By combining the interference information in the cell detection information with the microscopic image to obtain the cell identification information, the accuracy of the cell identification in the microscopic image can be improved, thereby improving the effectiveness of the alarm.

[0036] Optionally, how to analyze the microscopic image to obtain cell identification information corresponding to the microscopic image can refer to the following steps included in S100:

[0037] S120: Performing cell feature analysis on each animal cell in the microscopic image to obtain the type of each animal cell and count the number and proportion of each type of animal cell.

[0038] The control component 110 can perform image recognition processing on the microscopic image to identify the type of each animal cell in the microscopic image. For example, the control component 110 can identify each cell in the microscopic image, and then perform cell feature analysis on each cell to identify the type of each cell in the microscopic image. For example, the features of each type of cell can be pre-set so that the control component 110 can use the features of each type of cell to identify the cells in the microscopic image.

[0039] In addition to performing cell feature analysis on the microscopic image to identify the type of each cell in the microscopic image, the control component 110 can also obtain the number and proportion of each type of animal cell. For example, after the control component 110 obtains the microscopic image, it identifies the red blood cells in the microscopic image and counts the number of red blood cells and the proportion of red blood cells in all cells.

[0040] Optionally, after obtaining the image of the animal cell, the type of the animal cell may be determined by performing cell feature analysis on the animal cell, for example, analyzing the shape and color of the animal cell, or determining the type of the animal cell in combination with the shape and color of the animal cell. For details, see the following steps included in S120:

[0041] S121: Analyze the size, morphology, structure and staining of each animal cell in the microscopic image to obtain the type of each animal cell.

[0042] The control component 110 can identify the type of cells by the size, morphology, structure and staining of the cells. For example, the average color depth of the central circular area of ​​thin red blood cells is lower than the average color depth of the cell boundary ring. For example, the shape of spherical red blood cells is round. In some embodiments, the volume of animal cells can also be analyzed. For example, red blood cells with a volume greater than a preset threshold can be polychromatic cells. In other embodiments, the structure of animal cells can also be analyzed. For example, cells whose nuclei occupy more than 4 / 5 of the cell area and whose cytoplasm is sky blue or dark blue can be primitive cells.

[0043] By setting the characteristics of each type of animal cell and analyzing the shape, color, and shape or color of each animal cell to identify the type of each animal cell, cell recognition in the microscopic image can be achieved, and by identifying cells based on their multi-faceted characteristics, the accuracy of cell image recognition can be improved.

[0044] Optionally, after identifying the types of each animal cell, the number and proportion of each type of animal cell may be counted to obtain cell identification information. For details, see the following steps included in S100:

[0045] S130: Counting the number of animal cells of the same type to obtain the number and proportion of all types of animal cells, framing each animal cell of the same type and taking screenshots to save the images of each animal cell in the microscopic image.

[0046] When the control component 110 performs cell identification on the microscopic image, in addition to obtaining the type of each cell, it can also obtain the number and proportion of each type of cells. Therefore, the control component 110 can obtain the number and proportion of all types of cells in the microscopic image by counting the number of animal cells of the same type, for example, by counting the animal cells of the same type in the microscopic image, so as to save the energy and time consumed in manually identifying and counting animal cells. In addition, since the image is processed, the control component 110 can also frame the image of each animal cell after acquiring the microscopic image and save it as an image by taking a screenshot. That is to say, the control component segments the image of each animal cell from the microscopic image and saves the image of each animal cell so that the image of each animal cell can be sent to the display device for display. Figure 4 As shown, screenshots of the same type of animal cells can also be displayed together on a separate snapshot page of the cell in the display screen.

[0047] By counting the number of animal cells of the same type to obtain the number and proportion of all types of animal cells, cells with abnormal numbers and proportions can be identified, thereby providing hints on possible animal diseases.

[0048] Optionally, after the images of the animal cells are captured and saved, the images may be sent to a display device for display. For details, see the following steps included after S130:

[0049] S140: Sending the images of each animal cell to a display device through the output device 150 for display.

[0050] After taking screenshots and saving the images of the various animal cells, the control component 110 may send the images of the various animal cells to a display device for display. Different types of animal cells may be displayed in the display screen. Animal cells of the same type may be displayed in the same column.

[0051] By sending the images of each animal cell to the display device for display, it is convenient to check each cell in the microscopic image, and it is possible to judge whether the cell identification in the microscopic image is wrong. In addition, the number of images of each type of animal cell can also be used to verify the number of each type of animal cell in the cell identification information.

[0052] Optionally, when performing cell identification on the microscopic image, cell identification errors may occur. Therefore, when the animal cell image is sent to the display device for display, for the cells that are identified incorrectly, the person responsible for microscopic examination or the doctor can manually correct the type of the cells that are identified incorrectly. For details, refer to the following steps after S140:

[0053] S150: Receive a modification instruction, where the modification instruction includes information for identifying erroneous animal cells.

[0054] S160: In response to the modification instruction, modify the type of animal cells corresponding to the image of the incorrectly identified animal cells and save it.

[0055] Since doctors or microscopists can view images of various types of cells in the display screen, and can view the types of cells in the display screen. In some embodiments, when the type in the display screen does not match the actual type, for example, the cells in image A should be red blood cells, but image A is in the platelet image column, then the type of cells in image A does not match the actual type. Doctors or microscopists can select image A to modify the type of cells in image A. When doctors or microscopists choose to modify the type of cells in image A, the display screen can show the following: Figure 5 In the cell correction page shown, after selecting the cell type to be modified, the control component 110 may receive a modification instruction. The modification instruction may carry the type of the image A after being modified by a doctor or a microscopy technician. In response to the modification instruction, the control component 110 modifies the type of the animal cell corresponding to the image of the animal cell that was misidentified, and saves it to the corresponding database.

[0056] In addition, based on the type of the cell after modification and the image of the cell, the control component can also optimize the algorithm for identifying the cell image to improve the accuracy of cell identification through the cell image, thereby improving the usability of the instrument.

[0057] After obtaining the cell detection information and the cell identification information, the sample detection device may output the cell detection information and / or the cell identification information, as shown in the following steps after S100:

[0058] S200: Outputting cell identification information and / or cell detection information via an output device.

[0059] The sample detection device may include a display device, such as a display screen. In some embodiments, the sample detection device may output the cell identification information and the cell detection information through the output device 150. For example, the display screen of the display device may be split first to simultaneously display the cell identification information and the cell detection information on the display device. For how to split the display device, refer to the following steps included in S200:

[0060] S210: receiving a split-screen instruction for split-screen display.

[0061] S211: In response to the split-screen instruction, the cell detection information and the cell identification information are output to the display device through the output device 150 for split-screen display, so that the user can analyze the sample in combination with the cell detection information and the cell identification information.

[0062] When the user wants to view the cell detection information while viewing the cell identification information so as to combine the two to analyze the sample, or when the user wants to view the cell identification information while viewing the cell detection information so as to combine the two to analyze the sample, an operation can be performed on the display device, and then the control component 110 receives a split-screen instruction for split-screen display. In response to the split-screen instruction, the control component 110 can output the cell detection information and the cell identification information to the display device through the output device 150 for split-screen display, so that the user can analyze the sample in combination with the cell detection information and the cell identification information.

[0063] In other embodiments, the sample detection device can output cell identification information or cell detection information through the output device 150. For example, when the cell detection information is abnormal, the user can be prompted to analyze the microscopic image to determine the abnormal information in combination with the cell identification information. Similarly, when the cell identification information is abnormal, the user can be prompted to perform a routine blood test analysis to determine the abnormal information in combination with the cell detection information. For details, see the following steps included in S200:

[0064] S220: In response to the cell detection information being abnormal, outputting information prompting the user to perform microscopic image analysis via the output device 150 .

[0065] S230: In response to the abnormality in the cell identification information, outputting information prompting the user to perform a routine blood test through the output device 150.

[0066] For example, when a user uses a sample detection device to perform a routine blood test on a sample, and finds that the number of a certain cell displayed in the routine blood test is abnormal, the sample detection device can prompt the user to perform a microscopic analysis to verify the correctness of the routine blood test. After the user imports the microscopic image into the sample detection device, the sample detection device can analyze the microscopic image and output cell identification information through the output device 150, and can also determine whether the cell identification information is abnormal, so that the abnormal information can be output. The abnormal information can be cells with abnormal quantity and proportion or corresponding disease information. When the cell identification information is abnormal, the control component 110 prompts the user to perform a routine blood test through the output device 150. The information is similar and will not be repeated here.

[0067] By prompting the user to perform microscopic image analysis or routine blood test when the cell detection information or cell identification information is abnormal, the usage scenarios of the sample detection device can be increased and the accuracy of the output results of the sample detection device can be improved.

[0068] Optionally, after obtaining the cell identification information and the cell detection information, the detection component 160 may determine whether to alarm based on the cell identification information and the cell detection information, that is, determine whether there are disease cells that meet the disease conditions based on the cell identification information and the cell detection information. For details, see the steps after S100:

[0069] S300: Determine whether to alarm based on the cell identification information and cell detection information.

[0070] The alarm may refer to displaying abnormal cells or symptoms in a certain area of ​​the display device, or may refer to flashing lights or sound prompts in combination with displaying abnormal cells or symptoms to give an alarm.

[0071] By combining cell identification information and cell detection information, machines can be used to replace manual microscopic examinations, thereby improving the efficiency of microscopic examinations. Cell identification information and cell detection information can also be used to determine whether to issue an alarm, saving time for manual screening and judgment, and ensuring the accuracy of the alarm to avoid delaying the diagnosis and treatment of the animal. In addition, different alarm conditions can be set for different types of animals, and alarms can be issued based on the corresponding alarm conditions, further improving the accuracy of the alarm.

[0072] Optionally, how to determine not to alarm based on the cell identification information and the cell detection information can refer to the following steps included in S200:

[0073] S210: In response to at least one of the cell identification information and the cell detection information indicating that the animal cells are normal, determining not to generate an alarm.

[0074] Responding to at least one of the cell identification information and the cell detection information indicating that the animal cells are normal means responding to the cell identification information in the cell identification information and the cell detection information indicating that a certain type of animal cells or all animal cells are normal, or responding to the cell detection identity information in the cell identification information and the cell detection information indicating that a certain type of animal cells or all animal cells are normal, or responding to the cell identification information and the cell detection identity information in the cell detection information and the cell identification information both indicating that a certain type of animal cells or all animal cells are normal.

[0075] In some embodiments, after the cell identification information and the cell detection information are acquired, the information of a certain cell in the cell identification information and the cell detection information is read. When the cell identification information indicates that a certain cell is normal, and the corresponding information of the cell in the cell detection information is abnormal, then the cell identification information and the cell identification information in the cell detection information indicate that the animal cell is normal, and therefore, in response to at least one of the cell identification information and the cell detection information indicating that the animal cell is normal, it is determined not to alarm for the disease corresponding to the cell. When the cell detection information indicates that a certain cell is normal, and the corresponding information of the cell in the cell identification information is abnormal, it is determined not to alarm for the disease corresponding to the cell.

[0076] For example, the cell detection information may be routine blood test information, which may display the content of some cells in the sample liquid, such as white blood cells, red blood cells, platelets, lymphocytes, etc. If the cell detection information shows that the number of red blood cells is abnormal, but the number of red blood cells is identified to be normal during microscopic examination, then in response to the cell identification information and the cell identification information in the cell detection information indicating that the red blood cells are normal, no alarm information is generated, and it is determined that no alarm will be given. When the cell identification information and the cell identification information in the cell detection information indicate that a certain cell is normal, and the cell detection information indicates that the cell is abnormal, then no alarm information corresponding to the cell will be generated, and no alarm will be given for the cell. When both the cell identification information and the cell detection information indicate that a certain cell is normal, no alarm information corresponding to the cell will be generated.

[0077] In other embodiments, after the cell identification information and the cell detection information are obtained, the cell identification information and the cell information in the cell detection information are read. If the cell identification information indicates that the animal cells are normal, that is, all cells in the microscopic image are normal, then it is determined that no alarm is issued. If each information of the cell detection information is normal, it indicates that all cells in the sample liquid are also normal, and then no alarm is issued. For example, animal cells include cells a and cells b. In the cell detection information, cells a and cells b are identified as normal, while in the cell identification information, cells a and cells b are identified as abnormal. At this time, the disease alarm corresponding to cells a and cells b will not be generated.

[0078] Optionally, how to determine whether the animal cells in the cell identification information or the cell detection information are normal can refer to the following steps included in S210:

[0079] S211: The number and proportion of all categories of animal cells in at least one of the cell identification information and the cell detection information are within respective preset ranges.

[0080] When the number and proportion of a certain animal cell are within a normal preset range, it can be indicated that the cell is normal. Therefore, when the number and proportion of all types of animal cells in at least one of the cell identification information and the cell detection information are within their respective preset ranges, it is determined that no alarm is given.

[0081] By determining that at least one of the cell identification information and the cell detection information indicates that the animal cells are normal and determining not to issue an alarm, the occurrence of erroneous alarms can be reduced, thereby improving the credibility of the alarm.

[0082] Optionally, how to determine an alarm based on the cell identification information and the cell detection information can refer to the following steps included in S200:

[0083] S220: In response to the cell identification information and the cell detection information both indicating that the same type of animal cells are abnormal, determining an alarm.

[0084] The same type can refer to the same cell or cells that characterize the same disease. When both the cell identification information and the cell detection information indicate that a certain type of animal cell is abnormal, for example, the cell detection information can be blood routine information, and the red blood cells in the sample fluid are abnormal in the cell detection information. And when the red blood cells in the microscopic image are found to be abnormal during microscopic examination, an alarm can be issued for the disease corresponding to the abnormality of the red blood cells, such as anemia.

[0085] In some embodiments, in response to the cell identification information and the cell detection information both indicating that the animal cells associated with the same disease are abnormal, an alarm is determined. For example, the cell detection information may be blood routine information, which indicates that WBC (white blood cell) parameters and platelet parameters are abnormal, and the cell identification information indicates that the original cells are abnormal. Since leukemia is related to the white blood cell content and the original cell content, an alarm of leukemia may be determined.

[0086] Optionally, how to determine whether the animal cell in the cell identification information or the cell detection information is abnormal can refer to the following steps included in S220:

[0087] S221: In response to the cell identification information and the cell detection information both indicating that the number and proportion of the same type of animal cells are not within a preset range.

[0088] When the number and proportion of a certain type of animal cells are not within the preset range, there is a possibility that the animal cells of this type are abnormal. Therefore, when judging whether the animal cells are abnormal, it can be judged by whether the number and proportion of the animal cells are within the preset range.

[0089] In some embodiments, it may be in response to the fact that both the cell identification information and the cell detection information indicate that the number and proportion of the same type of animal cells are not within a preset range. For example, both the cell identification information and the cell detection information indicate that the number of red blood cells is lower than a threshold. For example, if the parameters such as RBC, HCT, HGB, and RET in the cell detection information are lower than a preset range, and the number of red blood cells in the microscopic image identified in the cell identification information is lower than a preset range, an anemia alarm is issued.

[0090] In other embodiments, it may be in response to the fact that both the cell identification information and the cell detection information indicate that the number and proportion of animal cells related to the same disease are not within a preset range. For example, when parameters such as WBC in the cell detection information are higher than the preset range or preset threshold, the platelet content is lower than the preset range or preset threshold, and the number of primitive cells in the cell identification information is higher than the preset range or preset threshold, an alarm for leukemia can be issued. For another example, when parameters such as WBC in the cell detection information are higher than the preset range or preset threshold, the platelet content is lower than the preset range or preset threshold, and the number of small lymphocytes in the cell identification information is higher than the preset range or higher than the preset threshold, an alarm for chronic lymphatic leukemia can be issued. For another example, when parameters such as RBC, HGB, PLT, lymphocytes in the cell detection information are lower than the preset range or preset threshold, and the number of primitive cells in the cell identification information is higher than the preset range or higher than the preset threshold, an alarm for acute lymphatic leukemia can be issued.

[0091] For another example, anemia can be divided into various diseases such as non-regenerative anemia, regenerative anemia, aplastic anemia, iron deficiency anemia, etc. By combining cell detection information and cell identification information, accurate identification of the disease can be achieved. For example, if the RBC, HCT, and HGB parameters in the cell detection information are not within the preset range or are less than the preset threshold, and the cell identification information shows that the number and proportion of polychromatic red blood cells are not within the preset range or are less than the preset threshold, then an alarm for non-regenerative anemia can be issued; if the cell identification information shows that the number and proportion of polychromatic red blood cells are not within the preset range or are greater than the preset threshold, then an alarm for regenerative anemia can be issued. For another example, if the parameters of WBC, lymphocytes, or neutrophils in the cell detection information are not within the preset range and are higher than the preset threshold, and the number and proportion of polychromatic red blood cells in the cell identification information are not within the preset range or are greater than the preset threshold, then an alarm for aplastic anemia can be issued. For another example, if the RBC, HCT, and HGB parameters in the cell detection information are not within the preset range or are less than the preset threshold, and the cell identification information shows that the number and proportion of spherical red blood cells are not within the preset range or are higher than the preset threshold, an alarm for immune-mediated hemolytic anemia can be issued. For another example, if the RBC, HCT, and HGB parameters in the cell detection information are not within the preset range or are less than the preset threshold, and the cell identification information shows that the number and proportion of thin red blood cells are not within the preset range or are greater than the preset threshold, and the number and proportion of polychromatic red blood cells are not within the preset range or are lower than the preset threshold, an alarm for iron deficiency anemia can be issued.

[0092] Optionally, information about the alarm can be shown in the display. Figure 6 As shown, in the display screen, the picture display area can display the microscopic image. Among them, the diseased cells can be highlighted in the microscopic image. The alarm area 16 can display possible disease information. The statistical information area 17 can display the cell identification information of the microscopic image. Optionally, in the statistical information area 17, the cells can be displayed separately according to their major categories. For example, the white blood cell category can include neutrophils, monocytes, lymphocytes, eosinophils, etc., and the red blood cell category can include spherical red blood cells, polychromatic red blood cells, thin red blood cells, etc.

[0093] Optionally, the display screen may also display an import picture button 11, a cell identification button 12, an animal selection button 13, a disease customization button 14, and a cell individual snapshot button 15. Among them, the import picture button 11 can be used to import pictures. For example, after selecting the import picture button 11, you can select a microscopic image and upload it to the control component 110 for cell identification. After importing the microscopic image, you can select the cell identification button 12 to start cell identification. In order to improve the accuracy of cell identification, and because the cell shapes or the content of each type of cell may be different for different types of animals, the identification process and alarm conditions for cell identification of different types of animals can be set separately. The animal selection button 13 is used to select the animal category to which the imported microscopic image belongs. The disease customization button 14 is used to enter the disease setting page to set the conditions for triggering various disease alarms. Such as Figure 7 As shown, the name of the disease and the corresponding conditions can be selected on the disease setting page. Among them, the conditions can be any combination of at least one of the conditions of the number of various types of cells obtained from the cell identification information when they are abnormal, the values ​​of various types of blood routine parameters obtained from the cell detection information when they are abnormal, the microscopic images and the animal category to which the sample liquid belongs. In addition, the condition library can also be displayed on the disease setting page. In the condition library, the names of various types of cells, various types of blood routine parameters, conditional relationships, and various animal categories can be displayed. By clicking on the name of a certain type of cell, a certain type of blood routine parameter, a certain conditional relationship, a certain animal category, and selecting or entering a preset range, the conditions for triggering the disease alarm can be set, which can improve the usability of the instrument. The cell individual snapshot button 15 is used to enter the cell individual snapshot page ( Figure 4 You can also modify the type of cells that were misidentified on the cell individual snapshot page.

[0094] In summary, combining cell identification information and cell detection information to determine whether to sound an alarm can not only improve the efficiency of microscopy, but also enable detailed identification of symptoms, that is, to determine which type of cell abnormality causes the disease, thereby improving the usability and accuracy of the instrument.

[0095] In the several embodiments provided in the present application, it should be understood that the disclosed sample detection device 100 and the analysis method of animal cells can be implemented in other ways. For example, the various embodiments of the sample detection device 100 described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0096] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0097] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0098] The above descriptions are merely embodiments of the present application and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A sample detection device, characterized in that: include: Sampling components; A detection component, used for performing a routine blood test on the sample collected by the sampling component to obtain cell detection information of animal cells; A control component, connected to the sampling component and the detection component, for controlling the sampling component to collect the sample and controlling the detection component to perform a routine blood test; A communication interface, connected to the control component, for obtaining a microscopic image; Wherein, the control component is further used to analyze the microscopic image to obtain cell identification information corresponding to the microscopic image; An output device is connected to the control component and is used to output the cell detection information and the cell identification information.

2. The sample detection device according to claim 1, characterized in that: The control component includes a circuit board and a main control chip. The main control chip is installed on the circuit board and connected to the sampling component, the detection component, the communication interface, and the output device through the circuit board. The main control chip is provided with a first burning area and a second burning area. The first burning area is burned with a routine blood test program for running to obtain cell detection information. The second burning area is burned with a microscopy analysis program for running to obtain the cell identification information.

3. The sample detection device according to claim 1, characterized in that: The control component is also used to determine whether the cell detection information and the cell identification information are abnormal, and the output device is also used to output information prompting the user whether to perform a routine blood test or perform a microscopic image analysis; When the control component determines that the cell detection information is abnormal, the output device is used to output information prompting the user to perform microscopic image analysis; when the control component determines that the cell identification information is abnormal, the output device is used to output information prompting the user to perform a routine blood test.

4. The sample detection device according to claim 1, characterized in that: The control component is also used to obtain the information of the preset disease when it is determined that the cell identification information and the cell detection information are both abnormal and meet the preset conditions of the preset disease. The output device is used to output the information of the preset disease and output alarm information.

5. A method for analyzing animal cells, characterized in that: include: Acquire, through the detection component, cell detection information of animal cells obtained by performing a routine blood test on the sample collected by the sampling component, acquire a microscopic image of the animal cells through the communication interface, and analyze the microscopic image to obtain cell identification information corresponding to the microscopic image; The cell identification information and / or the cell detection information is outputted via an output device.

6. The method according to claim 5, characterized in that The step of analyzing the microscopic image to obtain cell identification information corresponding to the microscopic image includes: Perform cell feature analysis on each animal cell in the microscopic image to obtain the type of each animal cell and count the number and proportion of each type of animal cell.

7. The method according to claim 6, characterized in that The performing cell feature analysis on each animal cell in the microscopic image comprises: The size, morphology, structure and staining of each of the animal cells in the microscopic image are analyzed to obtain the type of each of the animal cells.

8. The method according to claim 5, characterized in that The step of analyzing the microscopic image to obtain cell identification information corresponding to the microscopic image includes: The number of the same type of animal cells is counted to obtain the number and proportion of all types of animal cells, and each of the same type of animal cells is framed and captured and saved as an image to save the image of each animal cell in the microscopic image.

9. The method according to claim 8, characterized in that After the image of each of the animal cells in the microscopic image is saved, the method includes: The images of each of the animal cells are output to a display device through an output device for display.

10. The method according to claim 9, characterized in that After outputting the images of each of the animal cells to a display device through an output device for display, the method comprises: receiving a modification instruction, wherein the modification instruction includes information of the animal cell where the type identification is incorrect; In response to the modification instruction, the type of the animal cell corresponding to the image of the animal cell with erroneous type identification is modified and saved.

11. The method according to claim 5, characterized in that Outputting the cell identification information and / or the cell detection information through an output device includes: In response to the cell detection information being abnormal, outputting information prompting a user to perform microscopic image analysis through the output device; or In response to the cell identification information being abnormal, information prompting the user to perform a routine blood test is output through the output device.

12. The method according to claim 5, characterized in that Outputting the cell identification information and / or the cell detection information through an output device includes: Receiving a split-screen instruction for split-screen display; In response to the split-screen instruction, the cell detection information and the cell identification information are output to a display device through an output device for split-screen display, so that a user can analyze the sample in combination with the cell detection information and the cell identification information.

13. The method according to claim 5, characterized in that The method further comprises: Whether to alarm is determined based on the cell identification information and the cell detection information.

14. The method according to claim 13, characterized in that The determining whether to alarm by using the cell identification information and the cell detection information includes: In response to at least one of the cell identification information and the cell detection information indicating that the animal cells are normal, it is determined not to alarm; in response to the cell identification information and the cell detection information both indicating that the same type of animal cells are abnormal, it is determined to alarm and output the symptom information corresponding to the abnormal animal cells.

15. The method according to claim 14, characterized in that At least one of the cell identification information and the cell detection information indicates that the animal cell is normal, including: The number and proportion of all types of animal cells in at least one of the cell identification information and the cell detection information are within respective preset ranges.

16. The method according to claim 14, characterized in that The response that both the cell identification information and the cell detection information indicate that the same type of animal cells are abnormal includes: In response to the cell identification information and the cell detection information both indicating that the number and proportion of the same type of animal cells are not within a preset range.

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