CBA data analysis method and system, storage medium and electronic equipment

Abstract

The invention discloses a CBA data analysis method and system, a storage medium and electronic equipment. The CBA data analysis method comprises the following steps: a microsphere library editing step: establishing microsphere groups according to needs, each microsphere group comprising at least one microsphere name, and each microsphere name corresponding to a target; an automatic gating step; an automatic gating result analysis step: performing comparative analysis on the circle group result of the automatic gating step and the set microsphere group number: if the automatic gating circle group number is consistent with the set microsphere group number, dragging the microsphere name established in the microsphere library editing step to a corresponding gate to complete automatic gating; and if the number of the automatic gating ring groups is inconsistent with the set number of the microsphere groups, alarming and prompting. According to the CBA data analysis method, the requirement for the hardware environment is low, the result accuracy is high, and the overall efficiency is higher.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a CBA data analysis method, system, storage medium and electronic device. Background Art

[0002] Flow cytometry is a biological technique used to perform high-speed, quantitative analysis and sorting of single cells or other biological particles suspended in a fluid. This technology detects fluorescent signals of markers to analyze multiple parameters of cells, including but not limited to cell DNA content, cell volume, protein content, enzyme activity, cell membrane receptors and surface antigens. The characteristics of flow cytometry include fast measurement speed and multi-parameter measurement.

[0003] Cytometric Bead Array (CBA) is a detection method based on the capture of labeled microspheres and the detection of patient body fluid targets through flow cytometry. It can simultaneously perform qualitative and quantitative detection of multiple indicators in the sample. This technology has the advantages of small sample requirements, high sensitivity, good stability, short detection process, simple operation, and high detection rate. At present, its detection method has been widely used in cell biology, immunology, antibody drug screening and other fields, providing data support for life science research.

[0004] Currently, most of the CBA test reagents for hospitals are mainly used to detect cytokines in body fluids, and hospitals have a relatively large demand for their testing. However, CBA test reagents have many targets (>12), and the data analysis process is relatively complicated and cumbersome, and the analysis process may have a certain error rate, which affects the timeliness of sample testing and sample report issuance by the hospital.

[0005] BD has released FCAP Array software for CBA data analysis tools, which greatly reduces the difficulty of operators in analyzing CBA reagents. However, FCAP Array software requires different analysis templates for different reagents, and it takes a lot of time to manually circle the microsphere groups. This operation poses a great challenge to the quality requirements of operators.

[0006] In addition, CBA reagents are also in great demand in the industrial sector (such as cell therapy, antibody discovery, etc.). Industrial personnel have a certain error rate in their analysis and it is relatively time-consuming.

[0007] Although there are flow cytometry software that can automatically set gates and perform analysis, most of them are loaded on flow cytometry systems and require a lot of analysis and calculation to obtain the specific concentration or content value of the sample, which has high requirements on the hardware environment. In addition, the results of automatic gating cannot fully meet the actual grouping requirements of the samples, resulting in low reliability of data analysis results. Summary of the invention

[0008] In order to solve the above technical problems, the present invention provides a CBA data analysis method, system, storage medium and electronic device to facilitate the analysis of CBA streaming data at the hospital and industrial ends. The CBA data analysis system of the present invention is a system independent of the flow cytometer, has low requirements on the hardware environment, and has high accuracy of results.

[0009] One of the purposes of the present invention is to provide a CBA data analysis method, comprising the following steps: Microsphere library editing step: establishing microsphere groups as needed, each microsphere group comprising at least one microsphere name, and each microsphere name corresponds to a target; Automatic gating steps: according to the imported flow cytometry file and CBA reagent instructions, set the FSC parameters and SSC parameters; set the initial group number, set the target grouping fluorescence channel and the reporter group fluorescence channel, and then perform automatic gating; Automatic gating result analysis steps: Compare and analyze the circle group results of the automatic gating step with the number of microspheres in the set microsphere group: If the number of the automatic gated circle group is consistent with the number of microspheres in the set microsphere group, drag the microsphere name created in the microsphere library editing step to the corresponding gate to complete the automatic gating; If the number of automatic gate control circles is inconsistent with the number of micro-ball groups set, an alarm will be given. The CBA data analysis method of the present invention has the following beneficial effects: ① The present invention can conveniently group the targets represented by the microsphere groups of CBA reagents from different manufacturers through the microsphere library editing step. In addition, the established microsphere group information can be stored in the system. Therefore, in the subsequent process of other data analysis, CBA reagents from different manufacturers can be conveniently retrieved without repeatedly constructing the microsphere array, thereby improving the analysis efficiency.

[0010] ② The method of the present invention can simultaneously detect different targets of multiple different samples (including samples of standard substances), effectively reducing the systematic error during calculation.

[0011] ③ The method of the present invention has low requirements for operators. After automatic gating, most of the data gating analysis has been completed. For a small number of gating results that do not match the preset data, the operator only needs to perform manual gating according to the CBA reagent instructions to complete all of them, and the overall efficiency is also higher.

[0012] ④ Through the automatic gating result analysis step, it is possible to judge whether the automatic gating result meets the actual requirements of the sample, and ensure higher result accuracy and system operability.

[0013] ⑤ The present invention completes automatic gating by dragging the microsphere name established in the microsphere library editing step to the corresponding gate, thereby being able to intuitively display the flow results of each target.

[0014] ⑥ The method of the present invention can be implemented independently of a flow cytometer, has low requirements on the hardware environment, and can meet the usage needs of a wider range of scenarios.

[0015] Furthermore, a manual gating step is included. After the automatic gating result analysis step determines that the gated number of the automatic gated circle group is inconsistent with the set number of microsphere groups, a manual gating step is performed to circle the target microsphere group to ensure that the sum of the number of automatic gated circle groups and the number of manual gated circle groups is consistent with the preset number of microspheres in the microsphere group. In the case of multiple samples of the same type, after the manual gating of one sample data is completed, the manual gating of the sample can be applied to all other samples of the same type. On the premise of ensuring the accuracy of the analysis results, the efficiency of the gate analysis is also improved, especially when processing a large number of samples, the efficiency is significantly improved.

[0016] Furthermore, it also includes a standard curve calculation and display step, through which the data information of the standard curve of the flow results can be analyzed and fitted to generate a standard curve graph. The standard curve flow file imported in this step contains a blank control, so that the self-fluorescence in the microspheres or the non-specific fluorescence caused by the non-specific binding of antibodies in the reagents can be eliminated, making the calculation results more accurate. This step directly and automatically fits and calculates the standard curve and presents it in the form of a chart. Through this step, with the help of the reagent manual, the content corresponding to the standard in the microsphere group that has completed the gate analysis is matched and labeled. Since the flow information of the standard sample and the sample to be tested is imported at the same time, and the same automatic gate analysis and manual gate analysis conditions can be used, the system error is greatly reduced.

[0017] Furthermore, the standard curve calculation and display step can calculate the nonlinear fitting equation or the linear fitting equation for the imported standard sample flow file. Through this step, the standard curve can be automatically fitted into a chart directly, which is convenient for users to judge the accuracy of the results and also convenient for outputting the analysis results.

[0018] A second object of the present invention is to provide a CBA data analysis system for implementing or adopting the aforementioned CBA data analysis method.

[0019] A third object of the present invention is to provide a CBA data analysis system, which comprises: Microsphere library editing module: The microsphere library editing module is used to establish microsphere groups, each microsphere group contains at least one microsphere name, and each microsphere name corresponds to a target; Automatic gating module: The automatic gating module is used to set FSC parameters and SSC parameters, the number of microsphere groups, the target grouping fluorescence channel and the reporter group fluorescence channel according to the imported flow cytometry file and CBA reagent instructions, and perform automatic gating; and Automatic gating result analysis module: used to compare and analyze the circle group results of the automatic gating step with the number of microspheres in the set microsphere group: If the number of the automatic gated circle group is consistent with the number of microspheres in the set microsphere group, drag the microsphere name created in the microsphere library editing step to the corresponding gate to complete the automatic gating; If the number of automatic gating circle groups is inconsistent with the set number of micro-ball groups, an alarm will be given.

[0020] Furthermore, a manual gating module is included, and the manual module is used to circle the target microsphere group to ensure that the sum of the number of the automatically gated circled group and the number of the manually gated circled group is consistent with the preset number of microspheres in the microsphere group.

[0021] Furthermore, it also includes a standard curve calculation and display module, through which the data information of the standard curve of the flow cytometry result can be analyzed and fitted to generate a standard curve graph.

[0022] A fourth object of the invention is to provide a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the CBA data analysis method as described above.

[0023] The fifth object of the invention is to provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the CBA data analysis method as described above when executing the program. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a flow chart of Embodiment 2 of the present invention; Figure 2 This is a schematic diagram of the setting of the initial group in Embodiment 2; FIG3 (a) is a graph of each target peak corresponding to the first initial group in Example 2; FIG3( b ) is a graph of the peaks of each target corresponding to the second initial group in Example 2. DETAILED DESCRIPTION

[0025] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making a clearer and more definite definition of the protection scope of the present invention.

[0026] Embodiment 1: The present embodiment is a CBA data analysis system, comprising: an experiment editing module, a sample and standard reading and editing module, a microsphere library editing module, an automatic gating module, an automatic gating result analysis module, a manual gating module, a standard concentration setting module and a standard curve calculation and display module.

[0027] The present invention can create new experiments, open experiments, import templates and export templates through the experiment editing module; The sample and standard reading and editing module of the present invention is used to import the flow result file of the flow cytometer. In addition, the sample category (such as "standard" or "test sample"), the number of sample repeat tests and the dilution multiple can also be set in the "sample and standard reading and editing module". The aforementioned settings can also be performed at any time during the entire analysis process.

[0028] The microsphere library editing module of the present invention can establish microsphere names corresponding to each target according to the target to be detected, and the microsphere names can be stored in the system to form a microsphere library. The microsphere library editing module can be used to establish corresponding microsphere groups according to different samples or detection requirements. Each microsphere group contains at least one microsphere name (or target), and each microsphere name corresponds to a target. Thus, different microsphere groups can be established through the microsphere library editing module, and the established microsphere groups can be stored in the system for quick call in subsequent analysis of sample data of the same type.

[0029] The automatic gating module of the present invention is used to realize automatic gating analysis of samples. The automatic gating module uses the flow files of the standards and samples imported by the sample and standard reading and editing module as the data basis for automatic gating analysis. By setting the forward light (FSC) and the side light (SSC) in the automatic gating module, the target grouping fluorescence channel and the reporter group fluorescence channel are then set according to the CBA reagent manual. The system performs automatic gating analysis based on the FSC, SSC settings and the setting information of the target grouping fluorescence channel and the reporter group fluorescence channel. After the automatic gating analysis is completed, the microsphere name set in the microsphere library editing module is manually matched and marked with the gating result according to the information provided in the CBA reagent manual.

[0030] In some embodiments, the automatic gating module can also edit the number of targets contained in each microsphere population (or the number of initial populations).

[0031] In some embodiments, the automatic gating module analyzes the streaming signal and performs automatic gating by clustering analysis using the K-means algorithm. Specifically, the steps include: ① Randomly set the initial centroid equal to the number of microspheres in the microsphere group.

[0032] ② Calculate the Euclidean distance between different data points and the centroid, and redistribute the data points to clusters based on the nearest centroid.

[0033] ③ Recalculate the centroid of the cluster and repeat steps ②-③ until the centroid no longer changes or the predetermined number of iterations is reached.

[0034] For example, when the number of targets to be detected in the sample is 6, the number of microspheres in the preset initial microsphere group is 6, and 6 sites are randomly selected as the centroids, and then a data point C is randomly selected, and the distance from the data point C to the 6 initially selected centroids is calculated, and a judgment is made, and the data points are redistributed according to the nearest centroid. After judgment, the data point C is closest to the first centroid, and thus the data point is preliminarily assigned to the cluster determined by the first centroid. The centroid of the cluster where the first centroid is located is recalculated, and a new data point is selected again until the deviation between the centroid in the same cluster and any other data point in the cluster does not exceed 95%, and it can be determined that the centroid of the cluster has been successfully selected. In this way, all data points can be assigned to each cluster by continuous reciprocation, thereby completing automatic gating.

[0035] The automatic gating result analysis module of the present invention is used to compare the result of the automatic gating module grouping with the number of microspheres in the preset microsphere group. If the two are consistent, it means that the gating has been correctly completed through the automatic gating step; if the number of the automatic gating module grouping is less than the number of microspheres in the preset microsphere group, an alarm prompt is issued and manual gating is performed.

[0036] The manual gating module of the present invention can manually correct the microsphere groups that failed to be identified after analysis by the automatic gating module. The "microsphere groups that failed to be identified" here refer to microsphere clusters that have not been circled by the automatic gating module, or clusters that are mistakenly merged into other clusters and formed to exceed or be smaller than the actual cluster range. If the number of microspheres circled by the automatic gating module is consistent with the number of microspheres in the set microsphere group, the corresponding detection target name can be dragged to the gate to complete the automatic gating; if the grouping result of the automatic gating module is inconsistent with the number of microspheres in the set microsphere group, it means that the number of microspheres circled by the automatic gating is inconsistent with the number of microspheres in the preset microsphere group, and manual gating is required.

[0037] The manual gating module is set to compensate for the misclassification of the automatic gating module and the misjudgment of the results. This module is called after the automatic gating module takes effect, which not only guarantees the automation and high efficiency of the gating analysis to the greatest extent, but also ensures the accuracy of the analysis results.

[0038] First, set the forward light (FSC) and side light (SSC) and the initial number of groups; then, set the target grouping fluorescence channel and the reporter group fluorescence channel according to the CBA reagent instructions. After the settings are completed, the microsphere groups can be manually circled.

[0039] The "CBA reagent instruction manual" of the present invention is provided by the reagent supplier purchased when performing flow sample detection.

[0040] The system of the present invention can perform batch processing on multiple sample data.

[0041] By means of the module for setting the concentration of the standard product of the present invention, the concentration of the standard product can be marked according to the CBA reagent manual; and the concentrations of different targets can be set separately. The concentration setting of the standard product is obtained based on the concentration information of the standard product in the CBA reagent manual. If the standard product is diluted, the dilution multiple factor should also be considered. The concentration marking of the standard product is achieved by manual marking.

[0042] The standard curve calculation and display module of the present invention performs fitting according to the standard concentration of the "setting standard concentration module" to automatically generate a standard curve. Different from the prior art, the system of the present application not only automatically calculates the values ​​of each specific data point of the standard curve, but also automatically fits and generates a standard curve graph.

[0043] In some embodiments, the standard curve calculation and display module can select a nonlinear fitting equation or a linear fitting equation. The linear fitting equation formula is: lny=a×lnx+b. Where x and y are the standard concentration value and the sample report channel average fluorescence value respectively; a and b are fitting constants after linear fitting.

[0044] Nonlinear fitting is usually used for fitting microbial growth curves, drug dose response curves and enzyme kinetic curves. Nonlinear fitting is usually divided into 4-parameter point fitting or 5-parameter point fitting. The 4-parameter point fitting equation formula is: y=d+ ((ad) / (1+(x / c)^b)). The 5-parameter point fitting equation formula is: y=d+((ad) / (1+((xe) / c)^b)). Where x and y are the standard concentration value and the average fluorescence value of the sample reporting channel respectively; a, b, c, d, and e are all fitting constants after fitting. a is the maximum value of the curve, b is the measure of the slope of the curve, c is the half-saturation constant, d is the minimum value of the curve, and e is the inflection point of the curve. When x = e, the value of y is half of its maximum value.

[0045] The standard curve calculation and display module can intuitively display the standard curve fitting situation; you can also set the standard curve X-axis and Y-axis coordinate names, standard curve equation selection and fitting degree selection.

[0046] The result display module of the present invention can display the concentration value of each sample after analysis and calculation, and can be exported to files of different formats (such as .csv, .pdf, .xls, .DOC, .DOCX, .txt). According to the gate results of the "automatic gating module" and the "manual gating module", and using the standard curve of the standard curve calculation and display module, the concentration value of each sample is analyzed and calculated, and output.

[0047] Through the print report module, the entire analysis process, microsphere group settings, and sample analysis calculation results can be printed into a specified format file.

[0048] Embodiment 2: See attached Figure 1 As shown, this embodiment is a CBA data analysis method, which specifically includes the following steps: S100: Experiment editing step: After responding to the "New Experiment" command and inputting the "Analysis Experiment Name", the experimental analysis design interface is entered. Through the experiment editing step, the experimental analysis design can be performed and the experimental name can be written for each experiment.

[0049] In some possible implementations, the experiment editing step can be omitted.

[0050] S200: Sample and Standard Reading and Editing Steps: Import the flow files of the samples and standards to be tested, and set the sample type (sample or standard). This step can set the dilution index. When the dilution index is 1, it is "undiluted". The final sample concentration equation is: Final sample concentration = calculated sample concentration × dilution index.

[0051] S300: Microsphere library editing steps: Establish microsphere groups as needed. A microsphere group can correspond to a sample or a test item. A microsphere group contains at least one microsphere name, and each microsphere name is matched with a target according to the CBA reagent manual. Different microsphere groups can be established according to the flow results of different test kits or different samples. When establishing microsphere groups, the established microsphere names can be saved in the microsphere library. The construction of the microsphere group requires the help of the information in the CBA reagent manual. Take the correspondence between the microsphere name and the target in the reagent manual of BioLegend's Multi-Analyte Assay Kit as an example to illustrate the setting of the microsphere library, as shown in Table 1: Table 1 Correspondence between microsphere names and targets

[0052] For example, corresponding to the target IFN-a2, the microsphere name can be set to A3, and so on. After the microsphere names corresponding to each target are established, a microsphere group can be formed.

[0053] After the microsphere names are set, they can be stored as microsphere groups for subsequent analysis. When a similar sample project needs to be analyzed next time, the microsphere group name can be directly called, and the corresponding microsphere name is automatically included. Or according to the needs of new sample analysis, you can directly create or select each required microsphere name to form a new microsphere group.

[0054] S400: Automatic gating step: according to the imported flow file and CBA reagent instructions, set the FSC parameters and SSC parameters; automatically identify the number of initial groups, set the target grouping fluorescence channel and the reporter group fluorescence channel, and then perform automatic gating. The target grouping fluorescence channel and the reporter group fluorescence channel include but are not limited to APC, HE, FITC, PE, ECD, PC5, etc. The "target grouping fluorescence" here refers to the fluorescence of the capture microsphere itself.

[0055] S500: Automatic gating result analysis steps: Compare and analyze the number of targets in the circle group result of the automatic gating step in step S400 and the number of targets in the microsphere group set in step S300: If the number of automatic gated circle groups is consistent with the set number of microsphere groups, drag the microsphere name created in the microsphere library editing step to the corresponding gate to complete the automatic gating; If the number of the automatic gating circle group is inconsistent with the number of microspheres in the microsphere group set in step S300, an alarm is triggered.

[0056] If the gated number of the automatic gated circle group is inconsistent with the set number of microspheres in the microsphere group in step S500, a manual gating step is performed.

[0057] The steps of manual gating are: Manually gate samples that failed automatic gating, such as flow files of standards or samples. Manually circle the target microsphere group. At the same time, determine whether the number of circled groups is consistent with the set number of microspheres. Ensure that the sum of the number of circled groups for automatic gating and the number of circled groups for manual gating is consistent with the number of microspheres in the microsphere group under the corresponding project.

[0058] For example, when analyzing the flow cytometry results of a sample, first, according to the CBA reagent manual (still taking the reagent manual of BioLegend's Multi-Analyte Assay Kit as an example for explanation), the number of microspheres contained in the microsphere group corresponding to a sample established according to step S300 is 13; then, automatic gating is performed through step S400. Before automatic gating, first set the FSC parameters and SSC parameters according to the requirements of the reagent manual, and set the number of automatically identified initial groups to 2. Then, set the target grouping fluorescence channel (APC) and the reporter group fluorescence channel (PE) according to the manual. After the settings are completed, perform automatic gating. It should be noted that the number of initial groups can be adjusted as needed, just to facilitate the gate analysis of the sample. Here, the initial groups are set separately using magnetic beads A and magnetic beads B of different diameters (such as Figure 2 As shown in FIG. 1 ), the initial groups are 2. If different fluorescence channels are used to distinguish the initial groups in the accompanying reagent instructions, only one initial group may be set.

[0059] If the number of clusters circled by the automatic gating analysis is exactly 13 (combined with Table 1, Figure 3 (a) and Figure 3 (b)), the target markers (microsphere names) corresponding to these 13 clusters can be dragged to the positions of the clusters circled by the gate; if the number of clusters circled by the automatic gating analysis is 11, it is determined through step S500 that a manual gating step is required, and 2 more microsphere clusters are circled in the manual gating step, thereby completing the gating step for the sample.

[0060] In some implementations, after manual gating of a data control model for a sample is completed, the manual gating of the sample can be applied to all other samples.

[0061] S600: Standard curve calculation and display step: Set the standard concentration according to the information in the CBA reagent manual. The standard concentration trends of different microsphere targets are inconsistent and can be set separately. After the standard concentration is set, enter the standard curve fitting step. You can select nonlinear fitting or linear fitting equation as needed to calculate the equation parameters and fitting degree.

[0062] The linear fitting equation is: lny=a×lnx+b, where x and y are the standard concentration value and the average fluorescence value of the sample reporting channel, respectively; a and b are the fitting constants after linear fitting.

[0063] The nonlinear fitting equation is usually divided into 4-parameter point fitting or 5-parameter point fitting. The 4-parameter point fitting equation formula is: y=d+ ((ad) / (1+(x / c)^b)). The 5-parameter point fitting equation formula is: y=d+((ad) / (1+((xe) / c)^b)). Where x and y are the standard concentration value and the average fluorescence value of the sample reporting channel respectively; a, b, c, d, and e are all fitting constants after fitting. a is the maximum value of the curve, b is the measure of the slope of the curve, c is the half-saturation constant, d is the minimum value of the curve, and e is the inflection point of the curve. When x = e, the value of y is half of its maximum value.

[0064] S700: Sample concentration calculation step: According to the standard curve calculation step of S600, calculate the concentration of the remaining imported samples. If there is a dilution index setting, calculate according to the following equation: Calculated concentration × dilution index = sample final concentration.

[0065] S800: Data export and report printing step: export the data results in a certain format. Then enter the report printing step, you can print the entire analysis process, microsphere group settings, sample analysis calculation results, standard curve chart into a specified format file, such as .csv, .pdf, .xls, .DOC, File types such as .DOCX, .txt, etc.

[0066] Embodiment three: This embodiment is an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the steps of the CBA data analysis method of the second embodiment are implemented.

[0067] The above implementation modes are only for illustrating the technical concept and features of the present invention, and their purpose is to enable people familiar with this technology to understand the content of the present invention and implement it, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A CBA data analysis method, characterized in that: The steps include: Microsphere library editing step: establishing microsphere groups as needed, each microsphere group comprising at least one microsphere name, and each microsphere name corresponds to a target; Automatic gating step: according to the imported flow cytometry file and CBA reagent instructions, set the parameters and perform automatic gating; Automatic gating result analysis steps: Compare and analyze the circle group results of the automatic gating step with the number of microspheres in the set microsphere group: If the number of the automatic gated circle group is consistent with the number of microspheres in the set microsphere group, drag the microsphere name created in the microsphere library editing step to the corresponding gate to complete the automatic gating; If the number of automatic gating circle groups is inconsistent with the number of microspheres in the set microsphere group, an alarm will be prompted.

2. The CBA data analysis method according to claim 1, characterized in that: It also includes a manual gating step. If the automatic gating result analysis step determines that the gated number of the automatic gating circle group is inconsistent with the set number of microsphere groups, a manual gating step is performed to circle the target microsphere group to ensure that the sum of the number of the automatic gating circle group and the number of the manual gating circle group is consistent with the preset number of microspheres in the microsphere group.

3. The CBA data analysis method according to claim 1 or 2, characterized in that: The method also includes a standard curve calculation and display step, through which the data information of the standard curve of the flow cytometry result can be analyzed and fitted to generate a standard curve graph.

4. The CBA data analysis method according to claim 3, characterized in that: The standard curve calculation and display step can calculate the imported standard flow cytometry file using a nonlinear fitting equation or a linear fitting equation.

5. A CBA data analysis system, characterized in that: Used to implement or adopt the CBA data analysis method described in any one of claims 1-4.

6. A CBA data analysis system, characterized in that: include: Microsphere library editing module: The microsphere library editing module is used to establish microsphere groups, each microsphere group contains at least one microsphere name, and each microsphere name corresponds to a target; Automatic gating module: The automatic gating module is used to set FSC parameters and SSC parameters, target grouping fluorescence channels and reporter group fluorescence channels according to the imported flow cytometry files and CBA reagent instructions, and perform automatic gating; and Automatic gating result analysis module: used to compare and analyze the circle group results of the automatic gating step with the number of microspheres in the set microsphere group: If the number of the automatic gated circle group is consistent with the number of microspheres in the set microsphere group, drag the microsphere name created in the microsphere library editing step to the corresponding gate to complete the automatic gating; If the number of automatic gating circle groups is inconsistent with the number of microspheres in the set microsphere group, an alarm will be prompted.

7. The CBA data analysis system according to claim 6, characterized in that: It also includes a manual gating module, which is used to circle the target microsphere group to ensure that the sum of the number of the automatically gated circle group and the number of the manually gated circle group is consistent with the preset number of microspheres in the microsphere group.

8. The CBA data analysis system according to claim 7, characterized in that: It also includes a standard curve calculation and display module, through which the data information of the standard curve of the flow cytometry result can be analyzed and fitted to generate a standard curve graph.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the CBA data analysis method according to any one of claims 1 to 4 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the CBA data analysis method according to claims 1 to 4 are implemented.

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