WO2015157978A1 - Particle analyzer and rollback method and device for analysis operation result thereof - Google Patents

Abstract

A rollback method for an analysis operation result of a particle analyzer includes: analyzing the particle character data of a sample to be detected and amending the analysis result, establishing a sample information set on the basis of the particle character data, amending the current sample information set by automatically analyzing or inputting an analysis operation instruction, and creating a mark point in response to an establishment command; when requiring rollback, obtaining the mark point associated with a reconstruction command, and reconstructing a previous analysis result by means of the content in the mark point, thereby realizing the cancel of the analysis operation and the reconstruction of the analysis result expected by a user. A particle analyzer and a rollback device for the analysis operation result thereof are also disclosed.

Description

 Particle analyzer and its analysis operation result fallback method and device

 The present application relates to a particle analysis apparatus, and more particularly to a method and apparatus for analyzing an operation result of a particle analyzer. Background technique

 In flow cytometry, the flow data is used to select, classify, and compare the cell data of one or more test tubes collected by the instrument, and to gradually find out the specific cell population and its statistical characteristics. Core. Selection and classification based on the characteristics of the cells (e.g., cell size, particle size, and expression of antigen molecules, etc.) are the primary tasks throughout the analysis. The general analysis process mainly includes:

 (1) After adjusting appropriate instrument parameters (such as voltage, threshold, flow rate, etc.), collecting characteristic data of the cell particles;

 (2) Create scatter plots, density maps, contour maps, histograms, or 3D scatter plots related to cell features (eg, width, height), visualize the distribution of cell features for comparison by graphs and statistical features And other factors that determine the next analysis;

 (3) screening out the cell population (target) for further analysis based on the characteristic distribution (eg, size) of a certain aspect of the cell;

 (4) When the difference in feature distribution is not obvious, it is necessary to perform special processing on some characteristic data of the cell (for example, amplifying the feature data, etc.) to amplify the difference, and then try to perform screening;

 (5) If after one or more analyses, it is found that the expected results are not met, it is generally necessary to cancel the previous one or more analysis operations before starting a new round of analysis. The analysis process of flow cells is actually to find the mining process of special cell and feature data, which has the characteristics of long analysis time and uncertain analysis process. Especially in application scenarios such as complex analysis and teaching demonstrations such as leukemia typing, there are strong attempts to retreat and then try to analyze the process characteristics.

At present, in flow cytometry, there is no technology to support back-off of the analyzed data. When the user has repeatedly analyzed, for example, continuously modifying the threshold of cell classification, the system only retains the current analysis result, and the previous modification The threshold value and the classification result based on the threshold value have not been found. Therefore, it is particularly important to provide a technical solution that can support accurate fallback after multiple steps of operation. Summary of the invention

 According to the first aspect of the present application, the present application provides a method for analyzing an operation result fallback, including:

 The particle characteristic data of the sample to be tested is analyzed, and the current analysis result is displayed; the reconstruction command is received, and the analysis result associated with the reconstruction command is reconstructed.

 According to the second aspect of the present application, the present application provides an analysis operation result fallback device, including: an analysis module, configured to analyze particle feature data of a sample to be tested, and display a current analysis result;

 The reconstruction module is configured to receive a reconstruction command, and reconstruct the analysis result associated with the reconstruction command.

 According to a third aspect of the present application, the present application provides a particle analyzer, including:

 The optical detecting device is configured to perform light irradiation on the sample to be tested, collect light information generated by the light irradiation of the particles, and output particle characteristic data corresponding to the particle light information;

 a data processing device, configured to receive particle feature data, and process the particle feature data, the processing device comprising the analysis operation result fallback device according to any one of claims 11-20;

 A display device, electrically coupled to the data processing device, for displaying data output by the data processing device. DRAWINGS

 1 is a schematic structural view of a particle analyzer;

 2 is a schematic structural diagram of an apparatus for analyzing an operation result in an embodiment of the present application; FIG. 3 is a flowchart of processing for generating a marker point in the first embodiment of the present application;

 4 is a flowchart of processing when retiring in the first embodiment of the present application;

 FIG. 5 is a flowchart of processing for generating a marker point in Embodiment 2 of the present application; FIG.

 6 is a flowchart of processing when retiring in the second embodiment of the present application;

 7 is a flowchart of processing for generating a marker point in Embodiment 3 of the present application;

 8 is a flowchart of processing when retiring in the third embodiment of the present application;

 9 is a preliminary analysis result of an application embodiment of the present application;

 FIG. 10 is a schematic diagram of an operation process of an application embodiment of the present application.

detailed description

The embodiment of the present application provides a particle analyzer, such as a flow cell analyzer or a blood cell analyzer. Referring to FIG. 1 , it is a schematic diagram of a particle analyzer, and the particle analyzer includes an optical detecting device 20 , a conveying device 30 , and The data processing device 40 and the display device (not shown). The delivery device 30 is used to deliver sample fluid into the optical detection device 20. The delivery device 30 typically includes a delivery line and a control port that is delivered to the optical detection device 20 through a delivery line and a control port.

 The optical detecting device 20 is configured to illuminate a sample liquid flowing through a detection area thereof to collect cells (the cells are very small particles, and thus the cells are also called particles). Various kinds of light information (for example, scattered light information) generated by light irradiation. And/or fluorescent information), and converted into corresponding electrical signals, which correspond to the characteristics of the particles and become particle characteristic data. Specifically, the optical detecting device 20 may include a light source 1025, a flow chamber 1022 as a detection area, a light collecting device 1023 disposed on the optical axis and/or a side of the optical axis, and a photosensor 1024. The sample liquid is irradiated to the detection area 1021 by the flow chamber 1022 of the detection area under the sheath of the sheath liquid, and each of the cell particles in the sample liquid emits scattered light (or scattered light and fluorescence) after being irradiated by the light beam. The light collecting device 1023 collects and shapes the scattered light (or the scattered light and the fluorescent light), and the collected and shaped light is irradiated to the photosensor 1024, and the photosensor 1024 converts the optical signal into a corresponding electrical signal output.

 The analysis object of the particle analyzer is a data set of the sample inspection item or the research item, and the data processing device 40 realizes analysis of the sample by analyzing and processing the received particle characteristic data, and the data processing device 40 includes preprocessing and data analysis, and The processing is a preliminary processing on the characteristic data of the received particles, including preliminary filtering and shaping of the characteristic data of the collected cell particles. Data analysis involves selecting parameters of interest to create scatter plots, density maps, contour maps, histograms, or three-dimensional scatter plots related to cell features (eg, wide, high), visualizing the characteristic distribution of cells, and The analysis results are modified and improved, for example, the user can manually modify some parameters or drag the boundary.

 The display device is electrically coupled to the data processing device 40 for displaying the analysis results output by the processing device 40, and the analysis results may be graphics, text descriptions or tables, and the like.

 In the flow cytometer provided in the embodiment of the present application, the data processing device 40 includes an analysis operation result retracting device. The analysis operation result back-off device includes an analysis module and a reconstruction module. The analysis module is configured to analyze the particle characteristic data of the sample to be tested according to the at least one analysis operation instruction, and display the current analysis result, where the analysis operation instruction is automatically generated according to the analysis process; the reconstruction module is configured to receive the reconstruction command, Reconstruct the analysis results associated with the reconstruction command.

In one specific example, as shown in FIG. 2, the analysis operation result fallback device includes an analysis module 41 and a reconstruction module 42. The analysis module 41 includes a data creation unit 43, a modification unit 44 and marker point creation unit 45. The data creating unit 43 is configured to create a sample information set 46 for obtaining an analysis result according to the particle characteristic data, the sample information set 46 includes at least one set of particle characteristic data, a cell group formed by each set of particle characteristic data, and a cell grouping Relationship and statistics on particle feature data; modifying unit 44 is configured to modify the current sample information set based on the analysis operation instruction to modify the analysis result; the marker point creation unit 45 generates the marker point 47 in response to the creation command, the marker point 47 For storing content that can reconstruct the analysis result, the marker point is associated with the reconstruction command; the reconstruction module 42 is configured to reconstruct the operation result that the user desires to fall back to, in response to the reconstruction command, executing the marker point 47 associated with the reconstruction command Store the content and get the reconstructed analysis results.

 Reconstruction methods include, but are not limited to, fallback, milestone replay, and playback. Fallback refers to single or multiple steps to fall back to the desired analysis result according to the rebuild command. Milestone recurrence refers to a certain one. The phased operation creates a marker point, and the analysis result of the phased operation can be directly reproduced according to the reconstruction command; the playback refers to directly reproducing an analysis result according to the reconstruction command, and then step by step based on the analysis result. The results of the analysis obtained before or after the analysis results. The present application is described in detail below by way of specific examples.

 Example 1

 In this embodiment, a sample information set is created on the analysis object, and the sample information set includes at least one set of particle feature data, a cell group formed by each group of particle feature data, a relationship between cell groups, and statistical data on particle feature data. ; The analysis results can be obtained and displayed according to the sample information set. In a specific example, the sample information set may be organized into a sample relationship tree or a sample data table, and the sample relationship tree describes the data relationship in the sample information set in a tree structure form, and the sample data table describes the sample information set in the form of a data table structure. Data relationship. In this embodiment, the sample information set obtained by analyzing the object as streaming data and based on the streaming data is taken as an example of a sample relationship tree.

 In the streaming world, the analysis operations are all around the flow analysis object, and all operations are ultimately to change the data in the streaming object. In order to facilitate the creation of tags and to achieve automatic rollback and replay of the analysis process, it is necessary to identify the key data in the flow analysis object (the calculated data cannot be derived from other data) and form a good data relationship structure. According to the domain rules of the flow analysis, the data in the analysis object after the preliminary analysis is composed into a tree, and each sample corresponds to a sample tree, and the sample tree is the relationship between the sample information, the feature data and the automatic analysis result of the measured item. Tree, relationship tree includes tree root and node, tree root is sample, node is sample information or data, such as sample information, test tube, custom parameter set, report, etc.

The sample contains one or more test tube nodes (the number of test tubes is determined by the analysis project). A physical test tube represents a type of liquid sample that has been specially treated (for example, subjected to special fluorescent staining). In this embodiment, a test tube is used to describe the cell data in the physical test tube and the classification relationship of the cell population. The node may also have one or more child nodes as needed. The custom parameter set is a collection of parameters (reporting parameter items such as white blood cell count, lymphocyte count, etc.). The results of the parameters in the flow are generally obtained by arithmetic expression, such as the percentage of lymphocytes parameter = the number of lymphocytes (particles) in the test tube / the total number of cells (particles) in the test tube X 100.

 The report is a summary of the results of the streaming project analysis, including text descriptions, graphics, tables, and more.

 To facilitate data management, each node in the tree can be described using a custom data structure. Those skilled in the art can also design the data structure of each node in the sample information set as needed.

 When the analysis operation instruction is received, the current sample relationship tree is modified, and the data operation set caused by one analysis operation is called an analysis flow (ActionFlow). The analysis flow includes the operation type, operation path, and data. The data operation in the analysis stream is related to the specific analysis. For example, there is only one data operation in the analysis stream of the added graph, and the analysis stream deleting the graph containing the particle set will have multiple data operations: deleting the custom parameters related to the particle set; Delete related objects in the report; modify the affected particle subgroup data; delete the particle set and finally delete the graphic. Taking a new scatter plot in the test tube 1 node of sample S1 as an example, the contents of each part of the analysis flow are: Operation type: Add;

 Path: S l->test tube 1->picture

 Data type: Node

 Data length: is Node type data length

 Data: Adding leaf nodes formed by scatter plots

 During the analysis operation, points are generated for the places that need to be rolled back, and a point is stored to reconstruct the contents of the analysis results. The marker point is generated based on the creation command. In this embodiment, the manner of reconstructing the analysis result is a rollback mode, and the creation command can be regarded as a single step back creation command, and the creation command is generated in response to the generation of each analysis operation instruction. . The processing flow for generating points according to the creation command is as shown in FIG. 3, and includes the following steps:

 Step 410, modifying the current sample relationship tree based on the at least one analysis operation instruction, the analysis operation instruction being automatically generated according to the analysis process or generated in response to one or more changes made by the user to the user interface object on the visual user interface. Modifications to the sample relationship tree can be, for example, changing the grouping of particle characterization data in the sample relationship tree, or changing cell populations, or increasing/decreasing cell clustering to change the relationship between cell populations, or increasing/decreasing statistics on particle characterization data. Data, or other modifications.

 Step 411, generating a mark point based on the create command. In this step, the analysis operation instruction can be directly used as the creation command, or the creation operation command can be generated based on the analysis operation instruction, and then the creation command triggers the generation of the marker point. The sequence of this step and step 410 can be performed interchangeably or synchronously.

Step 412: Record an analysis flow caused by analyzing the operation instruction. Stores a specified set of analysis streams for the corresponding sample information set in the marker points. In a specific example, the marking point includes an identification mark and a reconstruction operation flow, and the identification mark can be used to indicate the identification mark of the time sequence of the generation of the mark point, and can also be used to represent the mark point name, for example, the identification mark can be the identification name and/or The generation time can also be replaced by a sequence number. The reconstruction operation flow is used to reflect the analysis flow caused by the analysis operation instruction, and the analysis flow is a collection of data operations performed when the corresponding sample information set is modified based on one reanalysis operation. The body of the marker is the reconstruction operation flow. In a specific example, the content of a single point includes the name, time, and analysis stream (Ac tionF l ow ).

 The point name is a description that is easy to understand, and the time is the time the point is created to describe the order in which it was generated. The analysis flow stored in the marker point is different from the analysis flow generated by the analysis, and the data operation behavior in the analysis flow is reversed. For example, in the normal analysis, the data operation is added, then the flow becomes a delete operation; correspondingly, The data in the modification operation becomes the data before the normal analysis.

 Those skilled in the art should understand that the content format of the marked points can also use other formats, such as no point names, and depending on the time points that are generated to distinguish different points.

 When a rollback is required, the processing flow is as shown in FIG. 4, and includes the following steps:

 Step 414, receiving a rebuild command. The reconstruction command may be generated by a predetermined operation input by the user, for example, by a user operation to visualize a menu or icon on the user interface to generate a reconstruction command, or by inputting a combination of a specific button or a specific button case to generate a reconstruction command, such as a generated marker point. Displayed on the visual user interface, the marker points can be displayed by means of graphics, text, numbers or a mixture of multiples. The user selects the marker point display identifier on the visual user interface to generate a reconstruction command.

 Step 415: The first acquiring subunit acquires a marker point associated with the reconstruction command based on the reconstruction command. When performing an analysis rollback, it is divided into single step back and multi step back. In the case of a single-step rewind, the generated rebuild command is associated with the point that generated the most recent timing, that is, when the rebuild command is received, the nearest point is found, and then the rebuild operation stream stored in the point is executed. If the rebuild command is continuously received, the associated pointer associated with the marker point is transformed one by one in accordance with the generation timing from the back to the front. If it is a multi-step fallback, the generated rebuild command association generates all the mark points whose timing is after the mark point corresponding to the selected identification mark, and then performs the reconstruction operation flow from the back to the front according to the generation time of the mark point. For example: Add a histogram Plotl to the test tube, then draw a binary gate on the Plotl to generate the particle sets B1 and B2, and finally modify the gate. This will in turn generate three corresponding points - add, draw and edit the door; when the "painted" point is selected for rollback, the "edit gate" point will be reversed in turn to perform the reconstruction operation flow and Rebuild the operation flow in the "Drawing Gate" marker.

 In step 416, the first read subunit reads the reconstructed operation stream stored in all associated points.

Step 417: The first execution subunit performs a rebuild operation flow based on the current sample relationship tree, and obtains an analysis result that the user expects to fall back after the execution is completed. The reconstruction operation flow is preferably opposite to the data operation behavior of the analysis flow caused by the analysis operation instruction, that is, the reverse flow of the analysis flow during normal operation, and when the reconstruction operation flow is performed based on the current sample relationship tree, it is actually based on the current sample relationship. The tree performs the reverse operation of the original analysis stream. For example, if the analysis flow of normal operation is "plus", then the reconstruction operation flow is "minus".

 The reconstruction operation flow can also be the same as the analysis flow caused by the analysis operation instruction. When the reconstruction operation flow in the marker point is executed, the data operation is performed according to the reverse data operation behavior of the reconstruction operation flow. In this case, more information is needed. .

 In this embodiment, the analysis flow caused by the analysis operation is stored by using the marker point, so that each analysis operation is recorded, and when the rollback is required, the reflection analysis operation instruction stored in the marker point associated with the read reconstruction command is caused. The reconstruction operation flow of the analysis flow re-executes the reconstruction operation flow stored in the marker point on the basis of the current sample tree to fall back to the analysis result desired by the user.

 It is also possible to replace the analysis stream stored in the marker point with the sample information set. When performing the rollback, the sample information set stored in the marker point associated with the reconstruction command directly covers the current sample information set, and is analyzed by the covered sample information set. result. Example 2:

 In some cases, the user may wish to not step back or step back when performing the rollback, but instead directly fall back to the user's desired milestone analysis results. Therefore, in this embodiment, the leaping back-off mode is used to create a marker point for the phased analysis, and the phase analysis result is directly restored in the subsequent execution of the rollback instead of the single-step or multi-step fallback.

 The difference between the embodiment and the embodiment 1 is that the content stored in the marker point is different. In this embodiment, the content stored in the marker point includes the sample information set corresponding to the analysis result that needs to be reconstructed, and the marker point is generated in response to the creation command. , Store the sample information set at the time of the point generation in the marker point.

 In a specific example, the marker point includes an identification marker, a sample information set, and a reconstruction operation flow set, and the identification marker may be used to indicate an identifier of the marker point generation timing, and may also be used to represent the marker point name, for example, the identifier includes the identifier. The name and generation time, the generation time can also be replaced with a sequence number. In other specific examples, the marker points may also be in other formats, such as no generation time. The processing flow for generating a marker point in this implementation is as shown in FIG. 5, and includes the following steps:

Step 421: Modify the current sample relationship tree. One way is to perform automatic analysis according to the program, and change the sample relationship tree by automatic analysis, such as changing the grouping of particle characteristic data in the sample relationship tree, or changing the cell grouping, or increasing/decreasing cell clustering to change the relationship between cell clusters, Or increase/decrease statistics on particle feature data; another method is to modify the current sample relationship tree according to the analysis operation instruction, and the analysis operation instruction may be an analysis operation instruction automatically generated according to the analysis process, or may be responsive to User visualization Generated from one or more changes made to the user interface object on the interactive interface. These two modifications can exist separately or both.

 Step 422: Receive a create command, and the create command is automatically generated according to the analysis process or generated in response to a predetermined operation input by the user, for example, after performing a phased analysis operation.

' Step ^ ^? Generate a record based on the command. The sample information set marked at the moment is stored in the current marker point. When there is an operation of modifying the sample relationship tree according to the analysis operation instruction, the reverse flow of the analysis flow set caused by all the analysis operation instructions between the mark generation time and the previous mark generation time may be performed (ie, the reconstruction operation) The stream collection) is stored in the current point.

 The content of the marked points in a specific example of the embodiment includes: a point name, a time, a sample tree, and an Ac t on F low set.

 The point name indicates a phased description, such as TBNK analysis, which completes the T cell analysis.

 Time is the time at which the point name was created.

 Sample Tree: A sample tree that generates moments for the marker points. The main data of the marked point is the sample, that is, the flow analysis object.

 ActionFlow collection: refers to the reverse flow of the analysis flow set for the rollback before the mark point, for example, the reverse flow of the analysis flow set between the previous mark point and the mark point; this item is optional content, according to The actual application needs to be expanded, that is, the ActionFlow collection may not be included in the marked point.

 When creating a marker point, the reverse stream of the sample node (sample tree) and the single-step fallback analysis stream set is packaged as a marker point as data content; when rolling back, the sample tree and the analysis stream collection are extracted according to the selected marker point The reverse flow directly replaces the current analysis sample tree and the analysis flow set. The specific process is shown in Figure 6, including the following steps:

 Step 425, receiving a rebuild command. The reconstruction command is automatically generated according to the analysis process or generated in response to a predetermined operation input by the user, for example, by a user operation to visualize a menu or icon on the user interface, for example, displaying the generated identification name of the marker point on the visual user interface. The user selects the identity name on the visual user interface to generate a rebuild command. The generated reconstruction command is associated with the point corresponding to the selected identification mark.

 Step 426: The second obtaining subunit acquires the marking point associated with the reconstruction command based on the reconstruction command.

 Step 427: The second reading subunit reads the sample relation tree and the reconstruction operation flow stored in the marker points associated with the reconstruction command.

 Step 428: The second execution subunit covers the sample tree and the reconstruction operation stream (if any) stored in the marker point to cover the current sample tree and the analysis flow set in the cache.

Step 429: Obtain an analysis result according to the covered sample information set. If the subsequent rollback needs to be continued, based on the covered sample information set and the reconstructed operation flow set, a reconstruction operation is performed each time a reconstruction command generated based on a predetermined operation of the user input is performed in a backward-to-forward order. flow.

 In this embodiment, the sample tree is used to store the time of the marker point generation point. When the rollback is required, the sample tree stored in the marker point corresponding to the reconstruction command is read, and the sample tree stored in the marker point covers the current current in the cache. The sample tree can modify the analysis results.

 The purpose of storing the set of reconstruction operation flows reflecting the analysis flow set caused by all the analysis operation instructions between the current marker point generation time and the previous marker point generation time in the marker point is: the reconstruction result can be reconstructed after the analysis result before reconstruction Based on the analysis result, a single-step or multi-step fallback is performed, that is, the reconstruction operation flow stored in the marker point is performed on the basis of the covered sample tree to fall back to the analysis result desired by the user.

 It should be understood by those skilled in the art that the reconstruction operation flow stored in the marker point in the above embodiment may also be the same as the analysis flow caused by the analysis operation, but only when the reconstruction command is executed, the execution of the marker point is performed on the basis of the current sample tree. The reconstruction operation flow can be performed, that is, the data operation generated after the execution is performed first, and the generated data operation is executed first. Example 3:

 The embodiment provides a playback-style fallback solution to directly restore the analysis result desired by the user without requiring single-step or multi-step fallback.

 The difference between this embodiment and the embodiment 1 is that the content stored by the marker point is different. In this embodiment, the marker point includes the identifier, the sample information set, and the analysis stream set, and the identifier may include the identifier name and/or the generation time, and the creation command Including a start command and an end command, the start command is automatically generated according to the analysis process or generated in response to a user input operation input on the visual user interface, and the end command is automatically generated according to the analysis process or in response to the user inputting on the visual user interface. Generated when the end operation is created. The processing flow for generating a mark point in response to the create command in this embodiment is as shown in FIG. 7, and includes the following steps:

 Step 430: Modify the current sample relationship tree based on the analysis operation instruction.

 Step 431, receiving a start command, and generating a mark point.

 Step 432: Store the sample relationship tree of the point generation time into the current point. Step 433: The set of analysis flows between the start of the mark generation time and the receipt of the end command is stored in the current mark point. The analysis stream stored here is the normal analysis stream caused by performing the analysis operation.

 The contents of the marked points in this embodiment include: a point name, a time, a sample tree, and an ActionF l ow set.

 Point Name: Describes the playback content, such as T cell analysis process playback in TBNK analysis.

Time is the time at which the marker is created. Sample tree: sample data for the starting point of playback;

 ActionFlow collection: A collection of analysis flows that pass through the starting sample tree;

 The creation of the playback point is a recording process. When the recording is started, the current sample data (sample tree) is recorded as the starting point of the sample tree of the playback, and all the analysis streams (ActionFlow) generated during the recording are sequentially added in the order of occurrence. In the ActionFlow collection; at the end of the recording, the marker points are created with the starting sample tree and the recorded analysis stream collection. The specific process for the playback of the point content is shown in Figure 8, which includes the following steps:

 Step 434, receiving a rebuild command. The rebuild command can be generated by a user operation visualizing a menu or icon on the user interface. For example, the generated tag name of the tag point is displayed on the visual user interface, and the user selects the tag name on the visual user interface to generate a rebuild command. The rebuild command is associated with the point corresponding to the selected identifier name.

 Step 435: The third obtaining subunit acquires the marking point associated with the reconstruction command based on the reconstruction command.

 Step 436: The third reading subunit reads the sample relation tree and the analysis stream set stored in the marked points associated with the reconstruction command.

 Step 437: The third execution subunit executes the analysis flow from front to back according to the stored sample relationship tree according to the time generated by the analysis flow.

 In this embodiment, the sample point of the marker point generation time and the subsequent series of analysis streams are stored by the marker point, and when the rollback is required, the sample tree and the analysis stream stored in the marker point corresponding to the reconstruction command are read, where Recalculating the analysis stream stored in the marker point based on the sample tree can reproduce the analysis result desired by the user.

 The creation command in this embodiment may also not include an end command, for example, only the start command, the mark point is created according to the start command, the sample information set of the start command generation time is stored in the mark point, and the subsequent series of analysis is performed. The stream is also stored in the marker point.

 In another specific example, the sample information set in the marked point in the embodiment may be replaced by the analysis flow set, that is, according to the creation command (which may also be replaced by the user first analysis, etc.), the marker point is generated, and the marker point generation time is generated. The subsequent analysis flow set is stored in the current marker point. When playback is required, the marker point associated with the reconstruction command is acquired, and the analysis flow set stored in the marker point associated with the reconstruction command is read, and the analysis is performed based on the current sample information set. The generation sequence of the flow performs the analysis flow from the back to the front, obtains the sample information set at the time of creating the command generation, and then executes the analysis flow set on the basis of the sample information set, and obtains a series of analysis results that are reproduced.

 It should be understood by those skilled in the art that the sample tree of the point of generation of the marker points and the set of forward execution analysis streams in this embodiment can also be obtained by other operations, such as by the current sample tree and the reverse execution analysis stream set derivation.

It should be understood by those skilled in the art that the sample tree stored in the marker point in this embodiment may also be a sample tree at the end of the command generation time, and the analysis stream set stored in the marker point is reflected from the start of the marker point generation time until the end command is received. Reconstruction operation flow of a normal analysis flow set The set, preferably the reverse flow of each analysis stream in the normal analysis flow set between the start command and the end command.

 In a further optimized embodiment, on the basis of the foregoing embodiment, before performing the content stored in the mark corresponding to the rebuild command, the copy of the current sample information set may be retained, and the mark corresponding to the rebuild command is executed. After the content stored in the point, the current sample information set is restored with the retained copy.

 The above embodiments may be combined as needed, for example, including a single-step or multi-step fallback mode, and also a playback or leaping fallback mode.

 In the above embodiment, one or more created points can also be displayed at the same time, which is convenient for user comparison and selection.

 In summary, the content of the reconfigurable analysis result stored in the marker point may be a sample information set corresponding to the analysis result of the desired reconstruction, and the desired analysis result may be reconstructed by reproducing the sample information set; or may be reconstructing the analysis analysis stream. The operation flow reconstructs the desired analysis result by performing the reconstruction operation flow on the basis of the appropriate sample information set; and may also have both the sample information set and the reconstruction operation flow reflecting the analysis flow, by performing on the stored sample information set The operation flow is reconstructed to reconstruct the desired analysis result; the index information can also be stored, indexed to another point to perform the content stored by the other point; or a combination of these several schemes.

 A specific application example of the present application will be described below by taking the HLA-B27 project as an example.

 The HLA-B27 program is often used to examine ankylosing spondylitis. The HLA-B27 test requires analysis of two blood samples: a negative reference tube (Isotype tube: sample prepared using mouse antibody and patient fresh blood) and a comparison tube (B27 tube: using B27 antibody) The patient's fresh blood was used to prepare the sample. The test results (report) contained HLA-B27 custom parameters (HLA-B27 antigen expression) and control graphic composition (as shown in Figure 9). The HLA-B27 custom parameter results were related to the mean value of lymphocytes in Isotype and B27 tubes in the FITC-A direction.

 First, create a sample - flow analysis object, and use the HLA-B27 automatic analysis system (this system simulates the manual analysis process of HLA-B27) to complete the automated analysis of the project, at which time Isotype and B27 test tube particles have been analyzed, and A basic conclusion is drawn, as shown in Figure 9, using state a to represent the sample at this time.

 Due to the large individualized differences in blood samples, samples for automated analysis generally require human involvement for optimization. Before optimizing, create a rollback point (mark a) that saves the process analysis results.

In the second step, in the lymphocyte (Lym) analysis of the Isotype test tube, by observing the particle distribution inside and outside the lymphatic gate in Plotl, it was found that the lymphatic gate setting was too small, and the adjustment of the door was more reasonable. The adjustment gate will generate a gate edit analysis stream, Analysis 1, which will update the lymphocyte particle set, the set of lymphocyte particle subsets, and the HLA-B27 custom parameters. The use state b represents the sample at this time. The system automatically generates a single step back marker point (mark b). In the third step, the isotype analysis requires that the gates of Isotype and B27 must be the same. Therefore, the lymphatic door in the B27 tube needs to be adjusted to be the same as in the Isotype tube. This adjustment will also result in a gate edit analysis stream - Analysis 2. The state c is used to indicate the sample at this time.

 If you are satisfied with the adjustment of the lymphatic portal, you can retain and identify the phased outcomes by manually creating (for example, clicking the Create button in the Human Interface) to span the back-off points. After that, you can edit the cross gates in the Isotype and B27 tubes and the report content, and generate analysis streams and markers.

 When the analysis results are not satisfactory, it needs to be revoked. If you need to cancel the third step of editing, if you use manual method to return, it is basically impossible, because you have no idea where the previous door is, and also implicitly cancel the second step of editing operation (the same type of control requires the same two lymphatic doors) ), the sample is rolled back to the state at the end of the automatic analysis, which increases the security risk of incomplete revocation. According to the technical solution of the present application, using the mark a for revocation, for example, clicking the undo button in the human-machine interaction interface, there will be no security risk of revoking incompleteness, and completion in one step.

 By analogy, during the entire HLA-B27 analysis, sample status, analysis points, and fallback operations will form the process described in Figure 10.

 Those skilled in the art will appreciate that the sample information set may also be a set of information having other data relationships, such as a sample data table.

 In the embodiment of the present application, a marker point is created for the analysis object before the next cell analysis is performed; when the rollback is required, the content of the marker point is used to implement the cancellation of the analysis operation. By marking the analysis process through a set of meaningful markers, the entire analysis process can be clearly displayed; the particle analysis process is completed and replayed, which is more accurate and efficient, reducing the user's analysis time and workload. . Key data in the points (that is, data that cannot be derived from other data) also helps to improve data security during the analysis.

 The embodiment of the present application provides a reliable and convenient revocation scheme, so that when the user wants to fall back to a previous desired analysis result, the user can select the corresponding marker point to implement the rollback, thereby avoiding the manual revocation method. The impact of user analysis and increased analytical costs are particularly important in flow cytometry. A person skilled in the art may understand that all or part of the steps of the various methods in the above embodiments may be completed by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, and the storage medium may include: a read only memory, Random access memory, disk or CD, etc.

 The invention has been described above with reference to specific examples, which are merely intended to aid the understanding of the invention and are not intended to limit the invention. Variations to the above-described embodiments may be made by those skilled in the art in light of the teachings herein.

Claims

Rights request

 A method for analyzing an operation result fallback, comprising:

 The particle characteristic data of the sample to be tested is analyzed, and the current analysis result is displayed; the reconstruction command is received, and the analysis result associated with the reconstruction command is reconstructed.

 The method according to claim 1, wherein the analyzing the step of analyzing the particle characteristic data comprises:

 Creating a sample information set for obtaining an analysis result according to the particle characteristic data, the sample information set including at least one set of particle characteristic data, a cell group formed by each set of particle characteristic data, a relationship between the cell clusters, and a particle characteristic Statistical data of the data;

 Modifying the current sample information set to modify the analysis result;

 Generating a marker point in response to the create command, the marker point for storing content of the reconfigurable analysis result, the marker point being associated with the reconstruction command;

 Reconstructing the analysis results associated with the reconstruction command includes:

 In response to the rebuild command, the content stored in the tag associated with the rebuild command is executed; the reconstructed analysis result is obtained.

 The method according to claim 2, wherein the sample information set is a sample data table or a sample relationship tree.

 The method according to claim 2 or 3, wherein: when the current sample information set is modified, the current sample information set is modified based on the at least one analysis operation instruction, and the analysis operation instruction is automatically generated according to the analysis process or Generated in response to one or more changes made by the user to the user interface object on the visualized user interface.

 The method according to claim 4, wherein: the content stored in the mark includes at least an identification mark for indicating a mark point generation timing and a reconstruction operation flow reflecting an analysis flow caused by the analysis operation instruction, The analysis stream is a collection of data operations performed when a corresponding sample information set is modified based on a reanalysis operation.

 The method according to claim 5, wherein: the creation command is generated in response to each generation of the analysis operation instruction, and is generated when each of the analysis operation instructions is generated when the marker point is generated in response to the creation command. The reconstruction operation flow of the analysis stream is stored in the corresponding marker point;

 The content stored in the marked point associated with the execution of the rebuild command is specifically:

 Get the marker point associated with the rebuild command;

 Reading the reconstructed operation stream stored in the marker point associated with the reconstruction command;

 The reconstruction operation flow in the marker point is performed from the back to the front based on the current sample information set in accordance with the generation timing of the marker point.

The method according to claim 5 or 6, wherein the reconstruction operation flow is the same as the analysis flow caused by the analysis operation instruction, and the reversal operation flow is reversed when the reconstruction operation flow in the marker point is executed. Data manipulation behavior performs a data operation; or the reconstruction operation flow and The data manipulation behavior of the analysis stream caused by the analysis of the operation instructions is reversed.

 The method according to claim 6, wherein the reconstruction command is generated in response to a predetermined operation input by a user, and the generated reconstruction command is associated with a marker point that is generated at the latest timing.

 The method according to claim 6, wherein the identification mark of the mark point is further used to represent a name of the mark point, and the identification mark of the mark point is displayed on the visual user interface; the reconstruction command is responsive to The user generates a selection of the identification mark on the visual user interface, and the generated reconstruction command is associated with all the points that are after the marked point corresponding to the selected identification mark.

 10. The method according to claim 2 or 3, wherein: the content stored in the marked point comprises a sample information set corresponding to the analysis result that needs to be reconstructed.

 1 1. The method of claim 10, wherein:

 The content stored in the marked point associated with the execution of the rebuild command is specifically:

 Obtaining a marker point associated with the reconstruction command, the reconstruction command being automatically generated according to the analysis process or generated in response to a predetermined operation input by the user;

 Reading the sample information set stored in the marker point associated with the reconstruction command;

 The sample information set stored in the marker point is overlaid on the current sample information set, and the analysis result is obtained according to the covered sample information set.

 12. The method according to claim 11, wherein: when the marker point is generated in response to the creation command, the sample information set of the marker point generation time is stored in the marker point.

 13. The method of claim 11, wherein: the create command is automatically generated according to an analysis process or generated in response to a predetermined operation input by a user.

 14. The method according to claim 11, wherein: the content stored in the mark point further comprises at least an identification mark for indicating a mark point name, and the identification mark of the mark point is displayed on the visualized user interface; The reconstruction command is generated in response to the user selecting the identification mark on the visual user interface, and the generated reconstruction command is associated with the target point corresponding to the selected identification mark.

 15. The method according to claim 11, wherein: modifying the current sample information set to modify a current sample information set based on the at least one analysis operation instruction, the analysis operation instruction being automatically generated or responsive according to the analysis process The user generates one or more changes to the user interface object on the visual user interface; the content stored in the mark point further includes an analysis flow set caused by at least one analysis operation instruction before the current mark point generation time Rebuilding the set of operational flows;

 After the sample information set stored in the marked point is overlaid on the current sample information set, and the analysis result is obtained according to the covered sample information set, the method further includes:

Reading a set of reconstruction operation flows stored in the marker points corresponding to the selected identification mark; and overwriting the current reconstruction operation flow set by the reconstruction operation flow stored in the marker points; Based on the covered sample information set and the reconstructed operation flow set, a reconstruction operation flow is executed each time a reconstruction command generated based on a predetermined operation of the user input is executed in the order from the back to the front.

 16. The method according to claim 11, wherein: the content stored in the marked point further comprises index information, and the index information points to another marked point.

 The method according to any one of claims 4 to 14, wherein the marker point includes an identification marker for indicating a name of the marker point, a sample information set, and an analysis flow set, the creation command including a start a command, the start command is automatically generated according to an analysis process or generated in response to a predetermined creation operation input by a user, and generating a mark point in response to the create command includes: generating a mark point in response to the start command;

 Storing the sample information set at the time of generating the marker point into the current marker point;

 The analysis flow set after the mark generation time is stored in the current mark point; the content stored in the mark point associated with the execution of the reconstruction command is specifically:

 Get the marker point associated with the rebuild command;

 Reading the sample information set and the analysis flow set stored in the mark point associated with the reconstruction command; and executing the analysis flow from front to back according to the time generated by the analysis flow based on the stored sample information set.

 18. The method according to claim 17, wherein the creation command further comprises an end command, the end command being automatically generated according to the analysis process or generated in response to the input predetermined creation operation, and the location stored in the marker point The analysis flow set is an analysis flow between the start of the mark point generation time until the end command is received.

 The method according to any one of claims 4 to 14, wherein the marker point includes an identification marker for indicating a name of the marker point, a sample information set, and an analysis flow set, the creation command including a start a command and an end command, the start command being automatically generated according to the analysis process or generated in response to a predetermined creation operation input by the user, the end command being automatically generated according to the analysis process or generated in response to the input predetermined creation operation, in response to the creation The command to generate the target points includes:

 Generating a marker point in response to the start command;

 Store the sample information set at the end of the command generation time into the current marker point;

 Storing a set of reconstruction operation flows reflecting the set of analysis flows between the start of the marker point generation until the end command is received into the current marker point;

 The content stored in the marked point associated with the execution of the rebuild command is specifically:

 Get the marker point associated with the rebuild command;

 Reading the sample information set and the reconstruction operation flow set stored in the marked points associated with the reconstruction command;

The reconstructed operation flow is performed from the back to the front based on the stored sample information set in accordance with the time generated by the analysis flow.

The method according to any one of claims 4 to 14, wherein the marker point includes a sample information set and an analysis flow set corresponding to the analysis result to be reconstructed,

 The method according to any one of claims 2 to 20, wherein before the content stored in the mark associated with the reconstruction command is executed, a copy of the current sample information set is retained, and when the reconstruction command is executed After the content stored in the associated point, the current sample information set is restored with the retained copy.

 22. An analysis operation result fallback device, characterized by comprising:

 An analysis module for analyzing particle characteristic data of the sample to be tested and displaying the current analysis result;

 The reconstruction module is configured to receive a reconstruction command, and reconstruct the analysis result associated with the reconstruction command.

 23. The apparatus according to claim 22, wherein the analyzing module comprises: a data creating unit, configured to create a sample information set for obtaining an analysis result according to the particle characteristic data, the sample information set including at least one set of particle characteristics Data, cell populations formed for each set of particle characterization data, relationships between cell populations, and statistics on particle characterization data;

 a modifying unit, configured to modify the current sample information set to modify the analysis result; and a marker point creating unit, configured to generate a marker point in response to the creation command, where the marker point is used to store content of the reconfigurable analysis result, the marker The point is associated with the rebuild command;

 The reconstruction module is configured to execute the content stored in the marked point associated with the reconstruction command in response to the reconstruction command, and obtain the reconstructed analysis result.

 24. The apparatus according to claim 23, wherein the sample information set is a sample data table or a sample relationship tree.

 25. The apparatus according to claim 23 or 24, wherein the modifying unit is configured to modify a current sample information set based on the at least one analysis operation instruction, the analysis operation instruction being automatically generated or responsive according to the analysis process The user generates one or more changes made to the user interface object on the visual user interface.

 26. The apparatus according to claim 25, wherein the content stored in the mark includes at least an identification mark for indicating a mark point generation timing and a reconstruction operation flow reflecting an analysis flow caused by the analysis operation instruction, The analysis stream is a set of data operations performed when a corresponding sample information set is modified based on a reanalysis operation; the reconstruction module is configured to perform a reconstruction operation flow in the marker point based on an appropriate sample information set and obtain The results of the reconstruction analysis.

27. The apparatus according to claim 26, wherein the creation command is generated in response to generation of an analysis operation instruction each time, and the marker point creation unit will reflect each analysis when generating a marker point in response to the creation command. The reconstruction operation flow of the analysis stream caused by the operation instruction is stored in the corresponding marker point; The reconstruction module includes:

 a first obtaining subunit, configured to acquire a marking point associated with the reconstruction command;

 a first reading subunit, configured to read a reconstruction operation flow stored in the marking point;

 And a first execution subunit, configured to perform a reconstruction operation flow in the mark point from the back to the front according to the generation timing of the mark point based on the current sample information set.

 The apparatus according to claim 26 or 27, wherein the reconstruction operation flow is the same as the analysis flow caused by the analysis operation instruction, and the first execution subunit performs reconstruction according to the reconstruction operation flow in the marker point. The reverse data operation behavior of the operation flow performs a data operation; or the reconstruction operation flow is opposite to the data operation behavior of the analysis flow caused by the analysis operation instruction.

 29. The apparatus of claim 27, wherein the reconstruction command is generated in response to a predetermined operation input by a user, and the generated reconstruction command is associated with a marker point that is closest to the generation timing.

 30. The device according to claim 27, wherein the identification mark of the mark point is further used to represent a name of the mark point, and the identification mark of the mark point is displayed on the visual user interface; the reconstruction command is responsive to The user generates a selection of the identification mark on the visual user interface, and the generated reconstruction command is associated with all the points that are after the marked point corresponding to the selected identification mark.

 The apparatus according to claim 23 or 24, wherein the content stored in the marker point includes a sample information set corresponding to an analysis result that needs to be reconstructed.

 32. Apparatus according to claim 31, wherein

 The reconstruction module includes:

 a second acquiring subunit, configured to acquire a mark point associated with the rebuild command, where the rebuild command is automatically generated according to an analysis process or generated in response to a predetermined operation input by the user;

 a second reading subunit, configured to read a sample information set stored in a mark point associated with the reconstruction command;

 The second execution sub-unit is configured to cover the current sample information set in the cache by the sample information set stored in the marked point, and obtain the analysis result according to the covered sample information set.

 33. The apparatus according to claim 32, wherein the marker point creation unit stores the sample information set of the marker point generation time in the marker point when generating the marker point in response to the creation command; The process is automatically generated or generated in response to a create operation entered by the user on the visual user interface.

The device of claim 32, wherein the content stored in the mark point further comprises at least an identification mark for indicating a mark point name, and the identification mark of the mark point is displayed on the visual user interface; The reconstruction command is generated in response to the user selecting the identification mark on the visual user interface, and the generated reconstruction command is associated with the target point corresponding to the selected identification mark.

35. The apparatus according to claim 32, wherein the modifying unit is configured to modify a current sample information set based on the at least one analysis operation instruction, the analysis operation instruction being automatically generated according to the analysis process or being responsive to the user Generating a user interface to generate one or more changes to the user interface object; the content stored in the marker point further includes a reconstruction operation of the analysis flow set caused by the at least one analysis operation instruction before the current marker point generation time The second read subunit is further configured to read the set of reconstruction operation flows stored in the mark points corresponding to the selected identification mark; the second execution subunit is further configured to overwrite the current operation of the reconstruction operation stored in the mark points Reconstructing the operation flow set; the second execution subunit is further configured to: according to the post-overlapping sample information set and the re-establishment operation flow set, each re-establishment command generated based on a predetermined operation of the user input is received in a backward-to-forward order Then execute an operation flow.

 36. The method of claim 32, wherein: the content stored in the tag further comprises index information, the index information pointing to another tag point.

 37. The apparatus of any of claims 25-34, wherein the marker point comprises an identification marker, a sample information set, and an analysis flow set for indicating a name of the marker point, the creation command including a start a command, the start command is automatically generated according to an analysis process or generated in response to a predetermined creation operation input by a user, and the marker point creation unit is configured to generate a marker point in response to the start command, and generate a sample information set sample information set of the marker point generation time Stored in the current marker point, and stores the set of reconstruction operation flow reflecting the analysis flow set after the marker point generation time into the current marker point;

 The reconstruction module includes:

 a third obtaining subunit, configured to acquire a marking point associated with the reconstruction command;

 a third reading subunit, configured to read a sample information set and a reconstruction operation flow set stored in a mark point associated with the reconstruction command;

 And a third execution sub-unit, configured to perform a re-establishment operation flow set based on the stored sample information set, to obtain a series of analysis results that are reproduced.

 38. The apparatus according to claim 37, wherein the creation command further comprises an end command, the end command being automatically generated according to the analysis process or generated in response to the input predetermined creation operation, and the location stored in the marker point The analysis flow set is an analysis flow between the start of the mark point generation time until the end command is received.

 The apparatus according to any one of claims 25 to 34, wherein the marker point includes an identification marker and a analysis stream set for indicating a name of the marker point, and the creation command is automatically generated or responded according to the analysis process. Generating a predetermined creation operation input by the user, the marker point creation unit is configured to generate a marker point in response to the creation command, and store the analysis flow set after the marker point generation time into the current marker point;

 The reconstruction module includes:

a third obtaining subunit, configured to acquire a marking point associated with the reconstruction command; a third reading subunit, configured to read the analysis flow set stored in the marked point associated with the reconstruction command;

 a third execution subunit, configured to perform an analysis flow from the back to the front and backward according to a current sample information set according to a generation sequence of the analysis flow, obtain a sample information set for creating a command generation time, and then perform analysis on the basis of the sample information set The stream is aggregated and a series of analysis results are reproduced.

 40. The apparatus of any of claims 23-39, further comprising a restore unit, wherein the restore unit is configured to: before the reconstruction module executes the content stored in the mark associated with the rebuild command, A copy of the current sample information set is retained, and the current sample information set is restored by the retained copy after the reconstruction module performs the content stored in the point associated with the reconstruction command.

 41. A particle analyzer, comprising:

 The optical detecting device is configured to perform light irradiation on the sample to be tested, collect light information generated by the light irradiation of the particles, and output particle characteristic data corresponding to the particle light information;

 a data processing device for receiving particle characteristic data, the particle characteristic data being processed, the processing device comprising the analysis operation result retracting device according to any one of claims 22-40;

 A display device, electrically coupled to the data processing device, for displaying data output by the data processing device.