Cell concentration detection method and system

Abstract

The invention relates to the technical field of cells, and provides a cell concentration detection method and system. The method comprises the following steps: emitting infrared light to a sample cell and acquiring a total light signal and a reference light signal; the total optical signal is an optical signal collected after infrared light irradiates a sample pool filled with a sample to be detected; obtaining a sample optical signal of the to-be-detected sample according to the overall optical signal and the reference optical signal; and inputting the sample optical signal into a cell concentration mapping model based on the to-be-detected sample, and performing mapping output on the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the to-be-detected sample. According to the cell concentration detection method and system provided by the invention, a large batch of to-be-detected samples can quickly flow through the sample pool to complete concentration detection, counting analysis does not need to be carried out on single cells, and the cell concentration detection efficiency is improved.

Description

[0001] This application claims the priority of the Chinese patent application with the application number 2023117102105 and the invention title "Cell Concentration Detection Method and System" filed on December 13, 2023, the entire content of which is incorporated herein by reference. Technical Field

[0002] This application relates to the field of cell technology, and particularly to a cell concentration detection method and system. Background Art

[0003] In the past decade or so, there has been an increasing demand for real-time calculation and detection of the concentration of cell solutions (especially blood cells) in the fields of medicine and biology, and the requirements are also getting higher and higher. In the past, people used traditional offline measurement methods such as the cell dry weight method, plate counting method, centrifugation volume method, etc. for cell concentration statistical analysis. Although these methods are simple, they are labor-consuming and greatly affected by human errors, often affecting the accuracy of cell concentration measurement. Therefore, nowadays people are more concerned about how to achieve online real-time measurement of cell concentration.

[0004] Regarding the need for real-time online measurement of cell concentration, there are currently methods such as flow cytometry measurement, impedance measurement, image counting analysis measurement, etc. These methods analyze single cells, so they can achieve accurate cell counting and typing, but the efficiency of cell concentration detection is relatively low. Summary of the Invention

[0005] Embodiments of this application provide a cell concentration detection method and system to solve the technical problem that traditional cell concentration detection methods analyze single cells and the efficiency of cell concentration detection is relatively low.

[0006] In a first aspect, embodiments of this application provide a cell concentration detection method, including:

[0007] Emitting infrared light to a sample cell and obtaining a total light signal and a reference light signal; the total light signal is the light signal collected after infrared light irradiates the sample cell filled with the sample to be measured;

[0008] Obtaining the sample light signal of the sample to be measured according to the total light signal and the reference light signal;

[0009] Inputting the sample light signal into a cell concentration mapping model based on the sample to be measured, and performing mapping output on the sample light signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured.

[0010] In one embodiment, before inputting the sample light signal into the cell concentration mapping model based on the sample to be measured, it includes:

[0011] Obtain the target cell concentration of any same-type sample of the sample to be tested;

[0012] Fill any same-type sample pool of the sample pool with the any same-type sample, and obtain the target optical signal of the any same-type sample in the any same-type sample pool under infrared light irradiation;

[0013] Correlate the target cell concentration and the target optical signal to obtain a correlation point between the cell concentration and the optical signal;

[0014] Fit multiple of the correlation points to construct a cell concentration mapping model based on the sample to be tested.

[0015] In one embodiment, the obtaining the target optical signal of the any same-type sample in the any same-type sample pool under infrared light irradiation includes:

[0016] Measure the optical signal of the any same-type sample in the any same-type sample pool under infrared light irradiation multiple times to obtain multiple optical signals of the any same-type sample;

[0017] Calculate the average value of the multiple optical signals to obtain the target optical signal of the any same-type sample.

[0018] In one embodiment, the reference optical signal is obtained based on the following steps:

[0019] Emit infrared light to the sample pool and obtain the initial optical signal of the sample pool; no sample is injected into the sample pool;

[0020] If the absolute value of the deviation between the initial optical signal and the preset optical signal is less than the deviation threshold, determine the initial optical signal as the reference optical signal.

[0021] In one embodiment, after emitting infrared light to the sample pool and obtaining the initial optical signal of the sample pool, it includes:

[0022] If the absolute value of the deviation between the initial optical signal and the preset optical signal is greater than or equal to the deviation threshold, clean the sample pool and then return to the step of emitting infrared light to the sample pool;

[0023] If after a preset number of cleanings, the absolute value of the deviation between the initial optical signal and the preset optical signal is still greater than or equal to the deviation threshold, replace another same-type sample pool and then return to the step of emitting infrared light to the sample pool and obtaining the initial optical signal of the sample pool until the initial optical signal is determined as the reference optical signal.

[0024] In one embodiment, the step of inputting the sample optical signal into the cell concentration mapping model based on the sample to be measured, and performing mapping output on the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured includes:

[0025] Obtain multiple sample optical signals within a preset time period;

[0026] Input the multiple sample optical signals into the cell concentration mapping model based on the sample to be measured, and perform mapping output on the multiple sample optical signals through the cell concentration mapping model to obtain multiple cell concentrations of the sample to be measured;

[0027] Calculate the average value of the multiple cell concentrations to obtain the predicted cell concentration of the sample to be measured.

[0028] In one embodiment, before emitting infrared light to the sample cell and obtaining the overall optical signal and the reference optical signal, it includes:

[0029] Set the acquisition parameters of the optical signal; the acquisition parameters include acquisition accuracy, acquisition time interval, and acquisition quantity;

[0030] Set the sample injection parameters for the sample to be measured to enter the sample cell; the sample injection parameters include sample injection speed and sample injection time point.

[0031] In a second aspect, an embodiment of the present application provides a cell concentration detection system, including: a light source module, a sample injection module, a sample output module, a sample cell, a driving module, an optical measurement module, and a data processing and analysis module;

[0032] The sample cell is arranged in the detection area of the optical measurement module, and the sample cell is respectively connected to the sample injection module and the sample output module. The optical measurement module is connected to the data processing and analysis module, and the driving module is arranged between the sample injection module and the sample cell;

[0033] The light source module is used to emit infrared light to the sample cell;

[0034] The sample injection module is used to store the sample to be measured;

[0035] The driving module is used to transport the sample to be measured in the sample injection module into the sample cell;

[0036] The optical measurement module is used to obtain the overall optical signal and the reference optical signal of the sample cell; the overall optical signal is the optical signal collected after the sample cell filled with the sample to be measured is irradiated by infrared light;

[0037] The data processing and analysis module is used to calculate the sample optical signal of the sample to be tested, construct a cell concentration mapping model, and generate the predicted cell concentration of the sample to be tested according to the sample optical signal and the cell concentration mapping model;

[0038] The sample output module is used to store and clean the sample to be tested that has completed cell concentration detection.

[0039] In one embodiment, the optical measurement module includes a detection circuit and a sampling circuit;

[0040] The detection circuit is used to measure the total optical signal and the reference optical signal of the sample cell;

[0041] The sampling circuit is used to collect the total optical signal and the reference optical signal of the sample cell, and send the total optical signal and the reference optical signal to the data processing and analysis module.

[0042] In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory storing a computer program, and the processor implements the steps of the cell concentration detection method described in the first aspect when executing the program.

[0043] The cell concentration detection method and system provided by the present application emit infrared light to a sample cell and obtain the total optical signal and the reference optical signal. The total optical signal is the optical signal collected after the infrared light irradiates the sample cell filled with the sample to be tested. According to the total optical signal and the reference optical signal, the sample optical signal of the sample to be tested is obtained, and the sample optical signal is input into the cell concentration mapping model based on the sample to be tested. The sample optical signal is mapped and output through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be tested. Compared with the traditional scheme, the sample cell can flow through a larger volume and higher concentration of the sample to be tested, and the optical signal can be used to characterize the characteristics of all cells in the sample cell at one time. Then, using the relationship between this characteristic and the cell concentration, the predicted cell concentration of the sample to be tested can be obtained. Therefore, a large number of samples to be tested can flow through the sample cell quickly and complete the concentration detection without counting and analyzing individual cells, improving the efficiency of cell concentration detection. Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is one of the flow schematic diagrams of the cell concentration detection method provided by the embodiment of the present application;

[0046] Figure 2 It is the second flow schematic diagram of the cell concentration detection method provided by the embodiments of the present application;

[0047] Figure 3 It is the third flow schematic diagram of the cell concentration detection method provided by the embodiments of the present application;

[0048] Figure 4 It is the structural diagram of the cell concentration detection system provided by the embodiments of the present application;

[0049] Figure 5 It is the flow chart of the cell concentration detection system provided by the embodiments of the present application;

[0050] Figure 6 It is the structural schematic diagram of the electronic device provided by the embodiments of the present application. Specific embodiments

[0051] To make the objectives, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without making creative efforts shall fall within the protection scope of the present application.

[0052] Figure 1 It is the first flow schematic diagram of the cell concentration detection method provided by the embodiments of the present application. Referring to Figure 1 , the embodiments of the present application provide a cell concentration detection method, which may include:

[0053] 101. Transmit infrared light to the sample cell and obtain the overall light signal and the reference light signal;

[0054] The overall light signal is the light signal collected after the infrared light irradiates the sample cell filled with the sample to be measured;

[0055] 102. Obtain the sample light signal of the sample to be measured according to the overall light signal and the reference light signal;

[0056] 103. Input the sample light signal into the cell concentration mapping model based on the sample to be measured, and perform mapping output on the sample light signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured.

[0057] When infrared light is transmitted, if there are particles (such as cells) in the light path, the particles will absorb or scatter the infrared light. Therefore, the transmitted light signal after the infrared light irradiates the object to be measured can characterize the absorption degree of the object to be measured for infrared light. Different types of sample cells (such as different materials) and different concentrations of the samples to be measured (i.e., cell suspensions) have different absorption degrees for infrared light. The higher the cell concentration in the sample to be measured, the more cells there are, and the more infrared light is absorbed, that is, the smaller the transmitted light signal. Therefore, the light signal can be used as a detection index to measure the cell concentration.

[0058] In step 101, since both the sample cell and the sample to be measured therein have an absorption effect on infrared light, when measuring the light signal of the sample to be measured, it is inevitably interfered by the absorption of infrared light by the sample cell. At this time, the measured light signal is actually the total light signal after the addition of the light signal of the sample cell and the sample light signal of the sample to be measured.

[0059] In step 102, the reference light signal is the light signal collected and calibrated after the infrared light irradiates the sample cell without the sample to be measured, and is used to characterize a relatively accurate light signal of the sample cell. Therefore, by calculating the difference between the total light signal and the reference light signal, the interference of the sample cell's absorption of infrared light can be removed, and the sample light signal of the sample to be measured can be obtained.

[0060] It should be noted that the measurement of the light signal needs to be carried out when the sample to be measured in the sample cell is stable, that is, when the multiple measurement values of the light signal do not show large fluctuations. The fluctuation range can be set as the change of the measurement value after the decimal point by three digits.

[0061] The cell concentration detection method provided in this embodiment emits infrared light to the sample cell and obtains the total light signal and the reference light signal. The total light signal is the light signal collected after the infrared light irradiates the sample cell filled with the sample to be measured. According to the total light signal and the reference light signal, the sample light signal of the sample to be measured is obtained. The sample light signal is input into the cell concentration mapping model based on the sample to be measured, and through the mapping output of the cell concentration mapping model for the sample light signal, the predicted cell concentration of the sample to be measured is obtained. Compared with the traditional scheme, the sample cell can flow through a larger volume and higher concentration of the sample to be measured, and the light signal can be used to characterize the characteristics of all cells in the sample cell at one time. Then, using the relationship between this characteristic and the cell concentration, the predicted cell concentration of the sample to be measured can be obtained. Therefore, a large number of samples to be measured can flow through the sample cell quickly and complete the concentration detection, without counting and analyzing individual cells therein, improving the efficiency of cell concentration detection.

[0062] Furthermore, in traditional cell concentration detection methods, adding reagents or external forces will inevitably damage the cells, resulting in a decrease in cell activity. The method of this embodiment uses infrared light irradiation and does not apply physical or chemical means to the sample to be measured throughout the process, realizing non-destructive detection of the sample to be measured.

[0063] Figure 2 It is the second schematic flow chart of the cell concentration detection method provided by the embodiment of the present application. Refer to Figure 2 , in one embodiment, before inputting the sample optical signal into the cell concentration mapping model based on the sample to be measured, it can be established based on the following steps:

[0064] 201. Obtain the target cell concentration of any homogeneous sample of the sample to be measured;

[0065] 202. Fill the homogeneous sample into any homogeneous sample pool of the sample pool, and obtain the target optical signal of the homogeneous sample under infrared light irradiation of the homogeneous sample pool;

[0066] 203. Correlate the target cell concentration and the target optical signal to obtain an association point between the cell concentration and the optical signal;

[0067] 204. Fit multiple association points to construct a cell concentration mapping model based on the sample to be measured.

[0068] In step 201, the target cell concentration used to construct the cell concentration mapping model is determined by pre-performing image recognition using a third-party device such as a cell counting device or a microscope.

[0069] In step 202, to obtain the target optical signal of the homogeneous sample under infrared light irradiation of the homogeneous sample pool, it can be specifically carried out according to the following steps:

[0070] 202a. Measure the optical signal of the homogeneous sample under infrared light irradiation of the homogeneous sample pool multiple times to obtain multiple optical signals of the homogeneous sample;

[0071] 202b. Calculate the average value of the multiple optical signals to obtain the target optical signal of the homogeneous sample.

[0072] Since the homogeneous sample is not in a static state after entering the sample pool, but will produce certain fluctuations, resulting in deviations between measurement results, the optical signal can be measured multiple times and the average value is taken to balance the fluctuations.

[0073] In step 204, multiple association points are the mapping relationships between multiple cell concentrations and the corresponding optical signals. Among them, multiple cell concentrations can be the cell concentrations of homogeneous samples that can reflect a series of concentration gradients.

[0074] It should be noted that after the same type of sample enters the sample cell, the optical signal can be measured after a certain time interval to remove possible outliers in the initial state.

[0075] In practical applications, there is no strict timing relationship between step 201 and step 202; that is, they can be executed simultaneously, or either step can be executed first, depending on the actual requirements, and there is no limitation here.

[0076] In this embodiment, the target optical signal is obtained by taking the average of multiple measurements of the optical signals of the same type of sample, the target cell concentration is measured by a third-party device for the cell concentration of the same type of sample, and multiple target optical signals and multiple target cell concentrations are fitted, which can balance the fluctuations of the cell concentration and the optical signal and obtain a more accurate cell concentration mapping model based on the sample to be measured.

[0077] Figure 3 It is the third flowchart of the cell concentration detection method provided by the embodiment of the present application. Refer to Figure 3 , in one embodiment, the reference optical signal can be obtained based on the following steps:

[0078] 301. Emit infrared light to the sample cell and obtain the initial optical signal of the sample cell;

[0079] No sample is injected into the sample cell;

[0080] 302. If the absolute value of the deviation between the initial optical signal and the preset optical signal is less than the deviation threshold, then determine the initial optical signal as the reference optical signal;

[0081] 303. If the absolute value of the deviation between the initial optical signal and the preset optical signal is greater than or equal to the deviation threshold, then after cleaning the sample cell, return to step 301;

[0082] 304. If after the preset number of cleanings, the absolute value of the deviation between the initial optical signal and the preset optical signal is still greater than or equal to the deviation threshold, then after replacing another sample cell of the same type, return to step 301;

[0083] 305. If after the preset number of cleanings, the absolute value of the deviation between the initial optical signal and the preset optical signal is less than the deviation threshold, then determine the initial optical signal as the reference optical signal.

[0084] In steps 302 to 305, the deviation threshold can be set according to the actual situation, and there is no limitation here. In this embodiment, the deviation threshold can be set to 5%.

[0085] In step 303, any cleaning solution can be used to clean the sample cell, and there is no limitation here. In this embodiment, pure water can be used to clean the sample cell.

[0086] In steps 304 to 305, the preset number of times can be set according to the actual situation and is not limited herein. In this embodiment, the preset number of times can be set to 3 times.

[0087] It should be noted that for different types of sample cells (such as different materials), the corresponding preset optical signals are different. In addition to verifying the initial optical signal of the sample cell, other measurement initial values can also be adjusted according to working environment parameters such as temperature and humidity before the sample to be measured enters the sample cell.

[0088] In addition, in practical applications, there is no strict timing relationship between steps 302 and 303; that is, they can be executed simultaneously, or either step can be executed first, depending on the actual requirements and is not limited herein; there is no strict timing relationship between steps 304 and 305; that is, they can be executed simultaneously, or either step can be executed first, depending on the actual requirements and is not limited herein.

[0089] In this embodiment, by verifying the initial optical signal of the sample cell to obtain an accurate reference optical signal, the sample optical signal of the sample to be measured calculated subsequently is more accurate.

[0090] In one embodiment, inputting the sample optical signal into a cell concentration mapping model based on the sample to be measured, and mapping and outputting the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured may include:

[0091] Obtaining multiple sample optical signals within a preset time period, inputting the multiple sample optical signals into a cell concentration mapping model based on the sample to be measured, mapping and outputting the multiple sample optical signals through the cell concentration mapping model to obtain multiple cell concentrations of the sample to be measured, and calculating the average value of the multiple cell concentrations to obtain the predicted cell concentration of the sample to be measured.

[0092] Since the measurement of the sample optical signal of the sample to be measured is continuous, the acquisition frequency of the sample optical signal can be adjusted according to the requirements. For example, 10 sample optical signals are acquired per second. For each sample optical signal, a cell concentration can be obtained through the cell concentration mapping model, and the final predicted cell concentration is obtained by averaging the multiple cell concentrations.

[0093] In this embodiment, multiple cell concentrations corresponding to multiple sample optical signals within a preset time period are obtained through the model, and the average value of the multiple cell concentrations is used as the final predicted cell concentration, which can balance the fluctuations in the measurement process of the cell concentration and make the finally obtained predicted cell concentration closer to the true cell concentration of the sample to be measured.

[0094] In one embodiment, before emitting infrared light to the sample cell and obtaining the total optical signal and the reference optical signal, it may include:

[0095] Set the acquisition parameters of the optical signal, including acquisition accuracy, acquisition time interval, and acquisition quantity; set the sample injection parameters for the sample to be measured entering the sample cell, including sample injection speed and sample injection time point.

[0096] Both the acquisition parameters and the sample injection parameters can be set according to actual needs, which are not limited here. In this embodiment, the acquisition accuracy can be set to five decimal places, and the acquisition quantity can be set to ten each time.

[0097] In this embodiment, setting the acquisition parameters and the sample injection parameters before emitting infrared light into the sample cell can make the acquisition parameters highly match the sample injection parameters, thereby improving the accuracy of optical signal acquisition and further improving the accuracy of detecting the cell concentration of the sample to be measured.

[0098] Figure 4 It is the structural diagram of the cell concentration detection system provided by the embodiment of the present application;

[0099] Figure 5 It is the flowchart of the cell concentration detection system provided by the embodiment of the present application.

[0100] Refer to Figure 4 According to this, the embodiment of the present application provides a cell concentration detection system, which may include: a light source module, a sample injection module, a sample output module, a sample cell, a driving module, an optical measurement module, and a data processing and analysis module;

[0101] The sample cell is arranged in the detection area of the optical measurement module, and the sample cell is respectively connected to the sample injection module and the sample output module. The optical measurement module is connected to the data processing and analysis module, and the driving module is arranged between the sample injection module and the sample cell;

[0102] The light source module is used to emit infrared light to the sample cell;

[0103] The sample injection module is used to store the sample to be measured;

[0104] The driving module is used to transport the sample to be measured in the sample injection module into the sample cell;

[0105] The optical measurement module is used to obtain the overall optical signal and the reference optical signal of the sample cell; the overall optical signal is the optical signal collected after the sample cell filled with the sample to be measured is irradiated by infrared light;

[0106] The data processing and analysis module is used to calculate the sample optical signal of the sample to be measured, construct a cell concentration mapping model, and generate the predicted cell concentration of the sample to be measured according to the sample optical signal and the cell concentration mapping model;

[0107] The sample output module is used to store and clean the sample to be measured that has completed the cell concentration detection.

[0108] Further, the optical measurement module includes a detection circuit and a sampling circuit;

[0109] The detection circuit is used to measure the overall optical signal and the reference optical signal of the sample cell;

[0110] The sampling circuit is used to collect the overall optical signal and the reference optical signal of the sample cell, and send the overall optical signal and the reference optical signal to the data processing and analysis module.

[0111] The selection of the light source module is diverse, including but not limited to a supercontinuum light source or a band, including a broadband light source with one or several band combinations of ultraviolet light, infrared light, and near-infrared light. In this embodiment, the light source module (LED or laser) emits near-infrared light with a wavelength of 800 nm to 2500 nm to the sample cell, and the semiconductor sensor in the detection circuit detects the optical signal, which is a voltage signal.

[0112] The selection of the material and structure of the sample cell is also diverse, including but not limited to materials such as acrylic plates and quartz glass. In this embodiment, the throughput of the sample cell is greater than 5 ml, and the injection speed is 5 ml / s. Since traditional concentration measurement methods usually only have a measurement volume in the microliter range, this embodiment meets the requirements for the rapid circulation and real-time concentration detection of a large number of samples to be measured.

[0113] The circuit board design of the optical measurement module is also diverse, including but not limited to a sampling circuit, a temperature correction circuit, and a detection circuit, etc. Other auxiliary devices can also be added to the optical measurement module, including but not limited to a bubble detection sensor, etc. In this embodiment, the optical measurement module includes a sampling circuit and a detection circuit, and a semiconductor sensor is also provided in the detection circuit.

[0114] In the initial stage, the sample to be measured in the liquid bag can be first injected into the injection module, then the pinch valve at the liquid inlet of the injection module containing the sample to be measured is closed, and then the pinch valve at the liquid outlet of the injection module is opened, and the drive module is used to transport the sample to be measured to the sample cell. When the sample cell is filled with the sample to be measured, the optical signal is measured to ensure continuous and real-time measurement of the sample to be measured.

[0115] In addition, the initial optical signal of the sample cell can be calibrated by adjusting the optical measurement module, the acquisition parameters can be set by adjusting the data processing and analysis module, and the injection parameters can be set by adjusting the injection module.

[0116] Refer to Figure 5, in this embodiment, the test platform can be built first, that is, the circuits of multiple modules are connected, and then the platform is debugged using control software. Taking the concentration measurement of T cell samples as an example, after obtaining the T cell samples, third-party instrument devices such as Countstar counting instruments can be used to count the cells of the same type of samples as the T cell samples, and the mapping relationship between the cell concentration and the optical signal of the same type of samples is obtained to construct a cell concentration mapping model. Then, the colorimetric cuvette, that is, the sample cell, is cleaned to calibrate the initial optical signal of the sample cell. Then, the T cell samples are injected into the sample cell for cell concentration detection. Finally, the detected T cell samples enter the sample output module for cleaning. During the process from obtaining the T cell samples to cleaning the detected T cell samples, multiple software are used to record the measurement results of each link.

[0117] Traditional cell concentration detection methods not only have the problem of low detection efficiency, but also have the problems of expensive detection instruments, large volume, and professional operation. Therefore, they are only suitable for laboratory detection and analysis, and are not suitable for situations where cell concentration detection is required on-site or in non-special occasions. For example, in specific biomedical research, there is no condition to bring the cell sample to be tested back to the laboratory, and on-site immediate concentration detection and analysis are required, or communities, families, village doctors, etc. need to perform blood cell analysis in other occasions such as non-inspection departments or non-laboratories. Therefore, it is not conducive to popularization and application.

[0118] Through the improvement of the detection method and the simplification of the detection equipment in this embodiment, it is possible to achieve rapid and non-destructive detection of a large number of samples to be tested, while meeting the real-time cell concentration detection and analysis under non-laboratory conditions such as on-site, and improving the repeatability of the measurement results, which is conducive to popularization and application.

[0119] Figure 6 An example of the structural schematic diagram of an electronic device is as Figure 6 shown. The electronic device may include: a processor 610, a communication interface 620, a memory 630, and a communication bus 640. Among them, the processor 610, the communication interface 620, and the memory 630 complete mutual communication through the communication bus 640. The processor 610 can call the computer program in the memory 630 to execute the steps of the cell concentration detection method, for example, including:

[0120] Emitting infrared light to the sample cell and obtaining the overall optical signal and the reference optical signal; the overall optical signal is the optical signal collected after the infrared light irradiates the sample cell filled with the sample to be tested;

[0121] According to the overall optical signal and the reference optical signal, obtaining the sample optical signal of the sample to be tested;

[0122] Input the sample optical signal into the cell concentration mapping model based on the sample to be measured, and perform mapping output on the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured.

[0123] In addition, when the logical instructions in the above-mentioned memory 630 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0124] On the other hand, an embodiment of this application also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the steps of the cell concentration detection method provided in the above-mentioned various embodiments, for example, including:

[0125] Emit infrared light to the sample cell and obtain the total optical signal and the reference optical signal; the total optical signal is the optical signal collected after the sample cell filled with the sample to be measured is irradiated with infrared light;

[0126] Obtain the sample optical signal of the sample to be measured according to the total optical signal and the reference optical signal;

[0127] Input the sample optical signal into the cell concentration mapping model based on the sample to be measured, and perform mapping output on the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured.

[0128] On the other hand, an embodiment of this application also provides a processor-readable storage medium. The processor-readable storage medium stores a computer program. The computer program is used to cause the processor to execute the steps of the methods provided in the above-mentioned various embodiments, for example, including:

[0129] Emit infrared light to the sample cell and obtain the total optical signal and the reference optical signal; the total optical signal is the optical signal collected after the sample cell filled with the sample to be measured is irradiated with infrared light;

[0130] Based on the overall optical signal and the reference optical signal, obtain the sample optical signal of the sample to be measured;

[0131] Input the sample optical signal into the cell concentration mapping model based on the sample to be measured, and perform mapping output on the sample optical signal through the cell concentration mapping model to obtain the predicted cell concentration of the sample to be measured.

[0132] The processor-readable storage medium can be any available medium or data storage device accessible by the processor, including but not limited to magnetic memories (such as floppy disks, hard disks, magnetic tapes, magneto-optical discs (MO), etc.), optical memories (such as CDs, DVDs, BDs, HVDs, etc.), and semiconductor memories (such as ROM, EPROM, EEPROM, non-volatile memories (NANDFLASH), solid-state drives (SSD)), etc.

[0133] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solutions, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disks, optical discs, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for detecting cell concentration, characterized in that: include: Emitting infrared light to the sample pool and acquiring a total light signal and a reference light signal; the total light signal is a light signal collected after the sample pool filled with the sample to be tested is irradiated with infrared light; Obtaining a sample light signal of the sample to be tested according to the overall light signal and the reference light signal; The sample light signal is input into a cell concentration mapping model based on the sample to be tested, and the sample light signal is mapped and outputted through the cell concentration mapping model to obtain a predicted cell concentration of the sample to be tested.

2. The cell concentration detection method according to claim 1, characterized in that: Before the sample light signal is input into a cell concentration mapping model based on the sample to be tested, the method includes: Obtaining the target cell concentration of any sample of the same type as the sample to be tested; Filling any one of the same sample into any one of the same sample pools of the sample pools, and obtaining a target light signal of any one of the same sample in any one of the same sample pools under infrared light irradiation; Correlating the target cell concentration with the target light signal to obtain a correlation point between the cell concentration and the light signal; A plurality of the associated points are fitted to construct a cell concentration mapping model based on the sample to be tested.

3. The cell concentration detection method according to claim 2, characterized in that: The step of obtaining a target light signal of any sample of the same type in any sample pool under infrared light irradiation comprises: Measuring the optical signal of any sample of the same type under infrared light irradiation on any sample pool of the same type for multiple times to obtain multiple optical signals of any sample of the same type; The average value of the multiple optical signals is calculated to obtain the target optical signal of any sample of the same type.

4. The cell concentration detection method according to claim 1, characterized in that: The reference optical signal is obtained based on the following steps: Emitting infrared light to a sample pool and acquiring an initial light signal of the sample pool; the sample pool is not filled with a sample; If the absolute value of the deviation between the initial optical signal and the preset optical signal is smaller than the deviation threshold, the initial optical signal is determined as the reference optical signal.

5. The cell concentration detection method according to claim 4, characterized in that: After emitting infrared light to the sample pool and acquiring the initial light signal of the sample pool, the method includes: If the absolute value of the deviation between the initial light signal and the preset light signal is greater than or equal to the deviation threshold, after cleaning the sample pool, return to the step of emitting infrared light to the sample pool and acquiring the initial light signal of the sample pool; If after a preset number of cleanings, the absolute value of the deviation between the initial light signal and the preset light signal is still greater than or equal to the deviation threshold, then after replacing another similar sample pool, return to the step of emitting infrared light to the sample pool and obtaining the initial light signal of the sample pool until the initial light signal is determined as the reference light signal.

6. The cell concentration detection method according to claim 1, characterized in that: The step of inputting the sample light signal into a cell concentration mapping model based on the sample to be tested, mapping and outputting the sample light signal through the cell concentration mapping model, and obtaining a predicted cell concentration of the sample to be tested includes: Acquire multiple sample light signals within a preset time period; Inputting the multiple sample light signals into a cell concentration mapping model based on the sample to be tested, and mapping and outputting the multiple sample light signals through the cell concentration mapping model to obtain multiple cell concentrations of the sample to be tested; The average value of the multiple cell concentrations is calculated to obtain the predicted cell concentration of the sample to be tested.

7. The cell concentration detection method according to claim 1, characterized in that: Before emitting infrared light to the sample pool and acquiring the overall light signal and the reference light signal, the method includes: Setting acquisition parameters of the optical signal; the acquisition parameters include acquisition accuracy, acquisition time interval and acquisition quantity; The injection parameters of the sample to be tested entering the sample pool are set; the injection parameters include injection speed and injection time point.

8. A cell concentration detection system, characterized in that: include: Light source module, sample injection module, sample output module, sample pool, drive module, optical measurement module and data processing and analysis module; The sample pool is arranged in the detection area of ​​the optical measurement module, and the sample pool is connected to the sample injection module and the sample output module respectively, the optical measurement module is connected to the data processing and analysis module, and the driving module is arranged between the sample injection module and the sample pool; The light source module is used to emit infrared light to the sample pool; The sample injection module is used to store samples to be tested; The driving module is used to transport the sample to be tested in the injection module into the sample pool; The optical measurement module is used to obtain the overall light signal and the reference light signal of the sample pool; the overall light signal is the light signal collected after the sample pool filled with the sample to be measured is irradiated with infrared light; The data processing and analysis module is used to calculate the sample light signal of the sample to be tested, and to construct a cell concentration mapping model, and to generate a predicted cell concentration of the sample to be tested according to the sample light signal and the cell concentration mapping model; The sample output module is used to store and clean the sample to be tested after completing the cell concentration test.

9. The cell concentration detection system according to claim 8, characterized in that: The optical measurement module includes a detection circuit and a sampling circuit; The detection circuit is used to measure the overall light signal and the reference light signal of the sample cell; The sampling circuit is used to collect the overall light signal and the reference light signal of the sample pool, and send the overall light signal and the reference light signal to the data processing and analysis module.

10. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of the cell concentration detection method according to any one of claims 1 to 7 are implemented.

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