WO2015157978A1 - Analyseur de particules et procédé et dispositif de retour en arrière pour résultat d'opération d'analyse de celui-ci - Google Patents

Analyseur de particules et procédé et dispositif de retour en arrière pour résultat d'opération d'analyse de celui-ci Download PDF

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Publication number
WO2015157978A1
WO2015157978A1 PCT/CN2014/075634 CN2014075634W WO2015157978A1 WO 2015157978 A1 WO2015157978 A1 WO 2015157978A1 CN 2014075634 W CN2014075634 W CN 2014075634W WO 2015157978 A1 WO2015157978 A1 WO 2015157978A1
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Prior art keywords
analysis
command
reconstruction
point
information set
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PCT/CN2014/075634
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English (en)
Chinese (zh)
Inventor
李桂林
刘鹏昊
闫华文
Original Assignee
深圳迈瑞生物医疗电子股份有限公司
北京深迈瑞医疗电子技术研究院有限公司
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Application filed by 深圳迈瑞生物医疗电子股份有限公司, 北京深迈瑞医疗电子技术研究院有限公司 filed Critical 深圳迈瑞生物医疗电子股份有限公司
Priority to CN201480074673.XA priority Critical patent/CN106170687B/zh
Priority to PCT/CN2014/075634 priority patent/WO2015157978A1/fr
Publication of WO2015157978A1 publication Critical patent/WO2015157978A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N15/1456—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459—Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • G01N35/00584—Control arrangements for automatic analysers
    • G01N35/00594—Quality control, including calibration or testing of components of the analyser
    • G01N35/00603—Reinspection of samples
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N2015/1006—Investigating individual particles for cytology
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1402—Data analysis by thresholding or gating operations performed on the acquired signals or stored data
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1477—Multiparameters
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10—Investigating individual particles
    • G01N15/14—Optical investigation techniques, e.g. flow cytometry
    • G01N2015/1493—Particle size

Definitions

  • 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
  • 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.
  • Selection and classification based on the characteristics of the cells are the primary tasks throughout the analysis.
  • the general analysis process mainly includes:
  • 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.
  • 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.
  • 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.
  • 1 is a schematic structural view of a particle analyzer
  • FIG. 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
  • FIG. 5 is a flowchart of processing for generating a marker point in Embodiment 2 of the present application.
  • FIG. 7 is a flowchart of processing for generating a marker point in Embodiment 3 of the present application.
  • FIG. 10 is a schematic diagram of an operation process of an application embodiment of the present application.
  • the embodiment of the present application provides a particle analyzer, such as a flow cell analyzer or a blood cell analyzer.
  • a particle analyzer such as a flow cell analyzer or a blood cell analyzer.
  • 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
  • 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.
  • 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.
  • 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
  • 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 is described in detail below by way of specific examples.
  • 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.
  • 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.
  • 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.
  • the analysis operations are all around the flow analysis object, and all operations are ultimately to change the data in the streaming object.
  • 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).
  • 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 report is a summary of the results of the streaming project analysis, including text descriptions, graphics, tables, and more.
  • 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.
  • 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;
  • Data length is Node type data length
  • 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.
  • 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.
  • 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.
  • the marking point includes an identification mark and a reconstruction operation flow
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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. .
  • 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.
  • 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 content stored in the marker point is different.
  • 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.
  • the marker point includes an identification marker, a sample information set, and a reconstruction operation flow set
  • 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.
  • the marker points may also be in other formats, such as no generation time.
  • 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.
  • 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.
  • 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.
  • 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.
  • the sample tree is used to store the time of the marker point generation point.
  • 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.
  • 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.
  • 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 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
  • 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.
  • the current sample data sample tree
  • all the analysis streams ActionFlow
  • ActionFlow the analysis streams generated during the recording are sequentially added in the order of occurrence.
  • ActionFlow collection at the end of the recording, the marker points are created with the starting sample tree and the recorded analysis stream collection.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • one or more created points can also be displayed at the same time, which is convenient for user comparison and selection.
  • 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.
  • 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 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.
  • the lymphatic gate 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).
  • 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.
  • sample information set may also be a set of information having other data relationships, such as a sample data table.
  • 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.
  • 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.

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Abstract

La présente invention concerne un procédé de retour en arrière pour un résultat d'opération d'analyse d'un analyseur de particules qui comprend : l'analyse des données de caractère de particule d'un échantillon à détecter et la modification du résultat d'analyse, l'établissement d'un ensemble d'informations d'échantillon sur la base des données de caractère de particule, la modification des informations d'échantillon actuelles définies par l'analyse automatique ou l'entrée d'une instruction d'opération d'analyse, et la création d'un point de repère en réponse à une commande d'établissement ; lorsqu'un retour en arrière est nécessaire, l'obtention du point de repère associé à une commande de reconstruction, et la reconstruction d'un résultat d'analyse précédent au moyen du contenu du point de repère, de manière à effectuer l'annulation de l'opération d'analyse et la reconstruction du résultat d'analyse attendu par l'utilisateur. L'invention concerne en outre un analyseur de particules et un dispositif de retour en arrière pour le résultat d'opération d'analyse de celui-ci.
PCT/CN2014/075634 2014-04-17 2014-04-17 Analyseur de particules et procédé et dispositif de retour en arrière pour résultat d'opération d'analyse de celui-ci WO2015157978A1 (fr)

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CN201480074673.XA CN106170687B (zh) 2014-04-17 2014-04-17 粒子分析仪及其分析操作结果回退方法和装置
PCT/CN2014/075634 WO2015157978A1 (fr) 2014-04-17 2014-04-17 Analyseur de particules et procédé et dispositif de retour en arrière pour résultat d'opération d'analyse de celui-ci

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US20090158823A1 (en) * 2007-12-19 2009-06-25 Gregory Kaduchak Particle analysis in an acoustic cytometer
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CN102792151A (zh) * 2010-03-23 2012-11-21 加州理工学院 用于2d和3d成像的超分辨率光流体显微镜

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