CN106170687B - Particle analyzer and its analysis operating result backing method and device - Google Patents
Particle analyzer and its analysis operating result backing method and device Download PDFInfo
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- CN106170687B CN106170687B CN201480074673.XA CN201480074673A CN106170687B CN 106170687 B CN106170687 B CN 106170687B CN 201480074673 A CN201480074673 A CN 201480074673A CN 106170687 B CN106170687 B CN 106170687B
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- 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—Electro-optical investigation, e.g. flow cytometers
- G01N15/1456—Electro-optical investigation, e.g. flow cytometers without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
- G01N15/1459—Electro-optical investigation, e.g. flow cytometers 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
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- 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
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- 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
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- 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—Electro-optical investigation, e.g. flow cytometers
- G01N2015/1402—Data analysis by thresholding or gating operations performed on the acquired signals or stored data
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- 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—Electro-optical investigation, e.g. flow cytometers
- G01N2015/1477—Multiparameters
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- 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—Electro-optical investigation, e.g. flow cytometers
- G01N2015/1493—Particle size
Abstract
A kind of particle analyzer analysis operating result backing method, analysis is carried out including the particle characteristics data to tested sample and is modified to analysis result, according to particle characteristics data creation sample information collection, it is modified by automatically analyzing or inputting analysis operational order to current sample information collection, and is ordered in response to creation and generate mark point；When needing to retract, the mark point with reconstruction order association is obtained, using some pervious analysis of the content reconstruction in mark point as a result, analyzing the reconstruction of result to realize the revocation of analysis operation and user's expectation.A kind of particle analyzer and its analysis operating result rollback device are also disclosed.
Description
Technical field
This application involves the analysis operating result backing method of a kind of particle analysis instrument more particularly to particle analyzer,
Device.
Background technique
In flow cytometry, the cell data of one or more test tube come up using streaming software to instrument acquisition into
Row screening, classification and comparison, and the process for gradually finding out special cells group and its statistical nature is the core of flow cytometer showed.Whole
In a analytic process, carried out according to the feature (such as size, granularity and expression of antigen molecule of cell etc.) of cell
Screening and classification are groundworks.General analysis process specifically includes that
(1) after adjusting suitable instrument parameter (such as voltage, threshold value, flow velocity etc.), the characteristic of cell particle is acquired；
(2) relevant scatter plot, density map, circle of equal altitudes, histogram or three are created with cell characteristic (such as wide, high)
The figures such as scatter plot being tieed up, the feature distribution of cell is visualized, being divided in next step with will pass through the decisions such as figure and statistical nature comparison
The target of analysis；
(3) according to the feature distribution (such as size) in terms of cell, the cell mass (target) of analysis in next step is filtered out；
(4) when feature distribution difference is unobvious, need to carry out by certain characteristics to cell specially treated (such as
Characteristic is amplified) Lai Fang great difference, it then reattempts and is screened；
(5) if after one or many analyses, when discovery cannot reach expected, a step of revocation front is generally required
Or step analysis operation, then start the analytic process of a new round again.The practical analytic process of fluidic cell is exactly to search out spy
The characteristics such as the mining process of different cell and characteristic, has analysis time long, and analytic process is uncertain.Especially such as white blood
Under the application scenarios such as the complicated analysis such as sick parting and teaching demonstration, all there is very strong trial, retract, the analytic process reattempted
Feature.
Currently, still the technology for supporting to retract is not provided to the data after analysis in flow cytometry, when user is through excessive
It is secondary analyze again after, such as the thresholding of continuous modification cell classification, system only retains current analyze as a result, and the door modified before
It limit value and can not have been found according to the classification results of the threshold value.Therefore it provides a kind of can prop up after many more manipulations
Holding the technical solution accurately to retract is particularly important.
Summary of the invention
According to the application's in a first aspect, the application provides a kind of analysis operating result backing method, comprising:
The particle characteristics data of tested sample are analyzed, and show current analysis result；
It receives and rebuilds order, the analysis result for rebuilding order association is rebuild.
According to the second aspect of the application, the application provides analysis operating result rollback device, comprising:
Analysis module is analyzed for the particle characteristics data to tested sample, and shows current analysis result；
Module is rebuild, order is rebuild for receiving, the analysis result for rebuilding order association is rebuild.
According to the third aspect of the application, the application provides particle analyzer, comprising:
Optical detection apparatus, for tested sample carry out light irradiation, collect particle because light irradiation caused by optical information,
And export particle characteristics data corresponding with particle optical information；
Data processing equipment is handled particle characteristics data for receiving particle characteristics data, the processing equipment
Including the analysis operating result rollback device as described in any one of claim 11-20；
It shows equipment, is electrically coupled with data processing equipment, the data for display data processing apparatus output.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram of particle analyzer；
Fig. 2 is the structural schematic diagram that operating result rollback device is analyzed in a kind of embodiment of the application；
Fig. 3 is the process flow diagram that mark point is generated in the embodiment of the present application one；
Fig. 4 is process flow diagram when retracting in the embodiment of the present application one；
Fig. 5 is the process flow diagram that mark point is generated in the embodiment of the present application two；
Fig. 6 is process flow diagram when retracting in the embodiment of the present application two；
Fig. 7 is the process flow diagram that mark point is generated in the embodiment of the present application three；
Fig. 8 is process flow diagram when retracting in the embodiment of the present application three；
Fig. 9 is a kind of Preliminary Analysis Results of Application Example of the application；
Figure 10 is a kind of operating process schematic diagram of Application Example of the application.
Specific embodiment
The embodiment of the present application provides a kind of particle analyzer, such as stream type cell analyzer or blood cell analyzer,
Referring to FIG. 1, being the schematic illustration of particle analyzer, particle analyzer includes optical detection apparatus 20, conveying equipment 30, number
According to processing unit 40 and display equipment (not shown).
The analysis object of particle analyzer is the data acquisition system of Sample project or research project, data processing equipment
40 by analysis of the analysis processing to realization to sample to received particle characteristics data, and data processing equipment 40 includes pre-
Processing and data analysis, pretreatment is the preliminary treatment carried out to the characteristic of received particle, including the cell to acquisition
The characteristic of particle carries out primary filtration and shaping.Data analysis includes selecting interested parameter creation and cell characteristic
The figures such as (such as wide, high) relevant scatter plot, density map, circle of equal altitudes, histogram or three-dimensional scatter plot, visualize cell
Feature distribution, and modify and perfect in analysis result, such as can be some parameters of user's manual modification or drag
Moving boundary etc..
Display equipment is electrically coupled with data processing equipment 40, and the analysis exported for display processing device 40 is as a result, analysis
As a result figure, verbal description or table etc. be can be.
In stream type cell analyzer provided by the embodiments of the present application, data processing equipment 40 includes that analysis operating result retracts
Device.Analysis operating result rollback device includes analysis module and reconstruction module.Analysis module is used for according at least one analysis
Operational order analyzes the particle characteristics data of tested sample, and shows current analysis as a result, analysis operation refers to
Order automatically generated according to analytic process or in response to user on visible user interface to one made by user interface object
Or it is multiple change and generate；It rebuilds module and rebuilds order for receiving, the analysis result for rebuilding order association is rebuild.
In a kind of specific example, as shown in Fig. 2, analysis operating result rollback device includes analysis module 41 and reconstruction mould
Block 42.Analysis module 41 includes data creating unit 43, modification unit 44 and mark point creating unit 45.Data creating unit 43
For being used to obtain the sample information collection 46 of analysis result according to particle characteristics data creation, sample information collection 46 includes at least one
Group particle characteristics data are formed by cell for every group of particle characteristics data group, cell are divided to divide the relationship between group and to grain
The statistical data of subcharacter data；Modification unit 44 is used to modify to current sample information collection based on analysis operational order,
To modify analysis result；Mark point creating unit 45 is ordered in response to creation generates mark point 47, and mark point 47 is for storing
The content of analysis result, mark point and reconstruction order association can be rebuild；Module 42 is rebuild to be used to it is expected the behaviour returning back to user
It is rebuild as result, is ordered in response to rebuilding, the content stored in the associated mark point 47 of execution reconstruction order, and
To the analysis result of reconstruction.
The mode of reconstruction includes but is not limited to that modes, the rollbacks such as rollback, landmark reproduction and playback refer to according to weight
It builds order single step or multistep return back to desired analysis result；Landmark reproduction refers to for some interim operation wound
A mark point is built, can directly reappear the analysis result of stage operation according to order is rebuild；Playback refers to orders according to reconstruction
Enable first directly reappear some analysis as a result, before showing the analysis result step by step on the basis of the analysis result again or it
The analysis result obtained afterwards.The application is described in detail below by way of specific embodiment.
Embodiment 1:
In the present embodiment, to analysis Object Creation sample information collection, sample information collection includes at least one set of particle characteristics number
According to, be formed by cell for every group of particle characteristics data group, cell divided to divide the relationship between group and to particle characteristics data
Statistical data；Analysis result can be obtained according to sample information collection and is shown.In specific example, sample information collection can organize be
Sample relational tree or sample data table, sample relational tree are the data relationships that sample information concentration is described in the form of tree structure,
Sample data table is the data relationship that sample information concentration is described in the form of data list structure.It is to analyze object in the present embodiment
Stream data, the sample information obtained based on stream data are integrated to be illustrated as sample relational tree.
In streaming field, analysis operation is carried out around flow cytometer showed object, all operations be all finally for
Change the data in streamed object.It for the ease of creation label, and realizes the automatic rollback and reproduction of analytic process, needs to know
Critical data (calculated data cannot be derived by other data) in other flow cytometer showed object, and form good data
Relational structure.According to the domain-planning of flow cytometer showed, the data in the analysis object after preliminary analysis are formed into a tree, it is each
The corresponding sample tree of a sample, sample tree be the sample information of the project that is tested, characteristic and automatically analyze what result was constituted
Relational tree, relational tree include tree root and node, and tree root is sample, and node is the various information or datas of sample, such as sample letter
Breath, test tube, custom parameter collection, report etc..
Include one or more test tube nodes (test tube number number determined by analysis project) in sample.One physics test tube generation
Table one kind passes through the liquid sample (such as have passed through special fluorescent staining) after specially treated, is described in the present embodiment with test tube
Cell number in physics test tube is accordingly and the classification relation of cell mass.Node can also divide into one or more son sections as needed
Point.
Custom parameter integrates as parameter (Report Parameters item, such as the leukocyte count of blood routine examination, lymphocyte number)
Set.Parametric results are generally expressed by operation and are obtained in streaming, such as lymph is thin in cent lymphocytes parameter=test tube
Total cell (particle) number × 100 in born of the same parents (particle) number/test tube.
The result for being reported as streaming project analysis summarizes presentation, and content includes verbal description, figure, table etc..
For convenience of the management of data, customized data structure can be used to be described for each node in tree.This field
Technical staff design sample information can also concentrate the data structure of each node as needed.
It when receiving analysis operational order, modifies to current sample relational tree, caused by primary analysis operation
Data manipulation collection is collectively referred to as analysis stream (ActionFlow).Analysis stream includes action type, courses of action and data.In analysis stream
Data manipulation is related to concrete analysis, such as only 1 data manipulation in the analysis stream of addition figure, and deletes and contain particle collection
The analysis stream of figure will have multiple data manipulations: delete custom parameter related with particle collection；The correlation deleted in report is right
As；Modify impacted particle subgroup data；Delete particle collection and last Delete Shape.In 1 node of test tube of sample S1
It is added for new scatter plot, analyzes each section content of stream are as follows:
Action type: addition；
Path: S1- > test tube 1- > figure
Data type: Node
Data length: for Node categorical data length
Data: the leaf node that newly-increased scatter plot is formed
In analysis operating process, mark point is generated to the place that needs retract, can be rebuild point with a mark point storage
Analyse the content of result.Mark point is based on creation order and generates, and in the present embodiment, the mode for rebuilding analysis result is rollback side
Formula, creation order can be regarded as single step rollback creation order, and creation command response is in the life of analysis operational order each time
At and generate.The process flow for generating mark point according to the creation order is as shown in Figure 3, comprising the following steps:
In a kind of specific example, mark point includes identification label and reconstruction operation stream, and identification label can be used to indicate that mark
Note point generates the identification label of time sequencing, can be used for indicating that mark point title, such as identification label can be identification name
Claim and/or generate the time, the generation time also could alternatively be serial number, and reconstruction operation stream is for reflecting caused by analysis operational order
Analysis stream, analysis stream is based on the data manipulation done when once analyzing again and operating and modify to respective sample information collection
Set.The main body of mark point is to rebuild operation stream.In a kind of specific example, the content of single marking point include mark point title,
Time and analysis stream (ActionFlow).
Mark point title is for convenience of the description understood, and the time is the time of mark point creation, the sequence for describing to generate.
Stored in mark point analysis stream with analysis generate analysis stream it is different, analyze flow in data manipulation behavior be it is reversed,
Such as to add data manipulation in normal assay, then just becoming delete operation in this stream；Correspondingly, the data in modification operation
Data before having become normal assay.
It will be appreciated by those skilled in the art that the content format of mark point can also use other formats, such as do not mark
Note point title, and rely on the time generated and distinguish different mark points.
When needing to retract, process flow is as shown in Figure 4, comprising the following steps:
Step 415, first subelement is obtained based on mark point associated by the reconstruction order acquisition reconstruction order.It is executing
When analysis retracts, it is divided into single step rollback and multistep retracts.It retracts if it is single step, then the reconstruction order generated and generation timing are most
Close mark point association finds nearest mark point that is, when receiving reconstruction order, then executes the reconstruction stored in mark point
Operation stream.If continuously receive reconstruction order, by with the associated association pointer of mark point according to life from back to front
At timing shift sign point one by one.It retracts if it is multistep, the reconstruction order association of generation generates timing and chooses identification to mark at this
All mark points after the corresponding mark point of note, then execute reconstruction operation according to the generation time of mark point from back to front
Stream.Such as: histogram Plot1 is added in test tube, is then drawn two points of doors on figure Plot1 and is generated particle collection B1 and B2, finally
Door is modified again.This can be sequentially generated three corresponding mark points --- and addition figure draws door and editor's door；When selection " drawing door " label
When point is retracted, reconstruction operation stream and reconstruction operation in " drawing door " mark point in " editor's door " mark point reversely will be successively executed
Stream.
Reconstruction operation stream is preferably with the data manipulation behavior of analysis stream caused by analysis operational order on the contrary, be normal
The reverse flow of analysis stream is actually based on current sample when executing reconstruction operation stream based on current sample relational tree when operation
This relational tree executes the reverse operating behavior of former analysis stream.Such as the analysis stream of normal operating is " adding ", then reconstruction operation stream is
" subtracting ".
Reconstruction operation stream can also be identical as analysis stream caused by analysis operational order, is executing the reconstruction in mark point
Data manipulation is executed according to the reverse data operation behavior of reconstruction operation stream when operation stream, needs more information in this case
It supports.
The present embodiment stores the caused analysis stream of analysis operation by using mark point, thus to each analysis operate into
Row record is read caused by the reflection analysis operational order rebuild and stored in the associated mark point of order when needing to retract
Analysis stream reconstruction operation stream, the reconstruction operation stream stored in mark point is re-executed on the basis of current sample tree to return
It falls back in the desired analysis result of user.
The analysis stream stored in mark point can also be replaced with sample information collection, when executing rollback, be ordered rebuilding
The sample information collection stored in associated mark point directly covers current sample information collection, is obtained by sample information collection after covering
Analyze result.
Embodiment 2:
In some cases, user may want to the not instead of single step or multistep rollback when executing rollback, directly retract
Result is analyzed to the desired milestone of user.Therefore the rollback mode that great-leap-forward is used in the present embodiment, is created for stage Analysis
Mark point is built, the analysis result of the stage is reduced directly when subsequent execution retracts rather than single step or multistep rollback.
The present embodiment in the present embodiment, is deposited in mark point the difference from embodiment 1 is that the content of mark point storage is different
The content of storage includes needing sample information collection corresponding to the analysis result rebuild, in response to creation order generation mark point
When, the sample information collection that mark point generates the moment is stored in mark point.
In a kind of specific example, mark point includes that identification label, sample information collection and reconstruction operation adfluxion are closed, identification mark
Note can be used to indicate that mark point generates the identification label of timing, can be used for indicating mark point title, such as identification label
Including mark title and the time is generated, the generation time also could alternatively be serial number.In other specific examples, mark point can also
To be other formats, such as without generating the time.This implementation generates the process flow of mark point as shown in figure 5, including following step
It is rapid:
In a kind of specific example of the present embodiment the content of mark point include: mark point title, the time, sample tree and
ActionFlow set.
Mark point title indicates to complete T cell analysis in interim description content, such as TBNK analysis.
Time is the time for creating mark point title.
Sample tree: the sample tree at moment is generated for mark point.The key data of mark point is sample, i.e. flow cytometer showed pair
As.
ActionFlow set: the reverse flow that the analysis adfluxion for rollback before referring to this mark point is closed, for example (,) it is previous
The reverse flow that a mark point is closed to the analysis adfluxion between this mark point；This is option content, according to the actual application
Expand, i.e., can not also include ActionFlow set in mark point.
When creating mark point, sample node (sample tree) and single step are retracted into the reverse flow for analyzing adfluxion conjunction as in data
Appearance is packaged as a mark point；When rollback, according to the mark point of selection, extracts sample tree and analyze the reverse flow that adfluxion is closed, directly
It takes over and changes present analysis sample tree and analysis adfluxion conjunction.Detailed process is as shown in Figure 6, comprising the following steps:
Step 425, it receives and rebuilds order.Order is rebuild to be automatically generated according to analytic process or in response to the pre- of user's input
Fixed operation and generates, such as can be generated by menu on user's operation visible user interface or icon, such as will generation
The mark title of mark point be shown on visible user interface, user chosen on visible user interface mark title from
And it generates and rebuilds order.The reconstruction order association of the generation mark point for choosing identification label corresponding.
Step 426, second subelement is obtained based on mark point associated by the reconstruction order acquisition reconstruction order.
Step 427, the second reading subunit read rebuild the sample relational tree stored in the associated mark point of order and
Reconstruction operation stream.
Step 428, second subelement is executed by the sample tree stored in mark point and the covering of reconstruction operation stream (if there is)
Current sample tree and analysis adfluxion in caching are closed.
Step 429, analysis result is obtained according to the sample information collection after covering.
If subsequent also need to continue to retract, based on after covering sample information collection and reconstruction operation adfluxion close, according to
Sequence from back to front, the reconstruction order for often receiving the predetermined operation based on user's input and generating then execute a weight
Build operation stream.
The present embodiment is read when needing to retract using the sample tree that mark point storage mark point generates the moment and rebuilds life
The sample tree stored in corresponding mark point is enabled, i.e. by the current sample tree in the sample tree stored in mark point covering caching
Analysis result can be modified.
The moment is generated to all analyses between the previous mark point generation moment in storage reflection current markers point in mark point
The purpose that the reconstruction operation adfluxion that analysis adfluxion caused by operational order is closed is closed is: energy after analysis result before reconstruction
Enough single step to be done on the basis of the analysis result of reconstruction or multistep retracts, i.e., sample tree after covering on the basis of, executes mark point
The reconstruction operation stream of middle storage can be return back in the desired analysis result of user.
It will be appreciated by those skilled in the art that the reconstruction operation stream stored in mark point in above-described embodiment can also with point
Analysis stream caused by analysis operates is identical, only when executing reconstruction order, reverse execution mark point on the basis of current sample tree
The reconstruction operation stream of middle storage, i.e., after the data manipulation that generates first carry out, executed after the data manipulation first generated.
Embodiment 3:
Single step or multistep rollback are implemented without the present embodiment provides the rollback scheme of playback formula and are reduced directly user's phase
The analysis result of prestige.
The present embodiment is the difference from embodiment 1 is that the content of mark point storage is different, and in the present embodiment, mark point includes
Identification label, sample information collection and analysis adfluxion are closed, and identify that label may include mark title and/or generate the time, creation is ordered
Enabling includes initial order and end order, and initial order is automatically generated according to analytic process or in response to user in visual user
The creation inputted on interface is operated and is generated, and is terminated order and is automatically generated according to analytic process or used in response to user in visualization
The creation end operation that is inputted on the interface of family and generate.The present embodiment orders the process flow of generation mark point such as in response to creation
Shown in Fig. 7, comprising the following steps:
The content of mark point includes: mark point title, time, sample tree and ActionFlow set in the present embodiment.
Mark point title: the T cell analytic process playback in description playing back content, such as TBNK analysis.
Time is the time for creating mark point.
Sample tree: for the starting point sample data of playback；
ActionFlow set: the analysis adfluxion begun to pass through from original samples tree is closed；
The creation for playing back mark point is a recording process, and sample data (sample tree) at that time is recorded in starting when recording
It is as the sample tree starting point of playback, all analysis streams (ActionFlow) generated in recording process are successive suitable by what is occurred
Sequence is successively added in ActionFlow set；At the end of recording, creation mark is closed with the analysis adfluxion of original samples tree and record
Note point.It is as shown in Figure 8 to the detailed process of mark point content playback, comprising the following steps:
The present embodiment generates sample tree and the subsequent a series of analysis stream at moment using mark point storage mark point, when need to
When retracting, reads and rebuild the sample tree stored in the corresponding mark point of order and analysis stream, the weight on the basis of sample tree
The analysis stream stored in new execution mark point can the desired analysis result of reappearing user.
Creation order can not also include terminating order, such as only initial order in the present embodiment, according to initial order
Mark point is created, the sample information collection that initial order generates the moment is stored in mark point, and by a series of analyses later
Stream also is stored in mark point.
In another specific example, also the sample information collection in the present embodiment in mark point can be substituted for analysis adfluxion
It closes, i.e., mark point is generated according to creation order (can also be analyzed for the first time with user etc. replace), after mark point is generated the moment
Analysis adfluxion close storage into current markers point, when needing to play back, obtain and rebuild the associated mark point of order, read weight
It builds the analysis adfluxion stored in mark point associated by order to close, when based on current sample information collection according to the generation for analyzing stream
Sequence from back to front flow by reverse execution analysis, the sample information collection that creation order generates the moment is obtained, then in the sample information collection
On the basis of execute analysis adfluxion close, a series of analysis results reappeared.
It will be understood by those skilled in the art that mark point generates the sample tree at moment in the present embodiment and positive execute analyzes stream
Set can also be obtained by other operations, such as closed to derive and be obtained by current sample tree and reverse execution analysis adfluxion.
It will be understood by those skilled in the art that the sample tree stored in mark point in the present embodiment is also possible to terminate order generation
The sample tree at moment, it is that mark point generates the moment and starts to terminate life until receiving that the analysis adfluxion stored in mark point, which closes reflection,
The reconstruction operation adfluxion that normal assay adfluxion between order is closed is closed, preferably normal between the order of initial order start and ending
Analyze the reverse flow of each analysis stream in adfluxion conjunction.
In the embodiment advanced optimized, on the basis of the above embodiments, the corresponding mark of order is rebuild executing
It before the content stored in note point, can first retain the copy of current sample information collection, rebuild the corresponding mark of order when having executed
After the content stored in note point, current sample information collection is restored by the copy of reservation.
Above-described embodiment can be combined as needed, such as both include single step or multistep rollback mode, also include playback
Formula or great-leap-forward rollback mode.
In above-described embodiment, one or more mark points of creation can also be shown simultaneously, facilitate user's comparison and selection.
To sum up, the content for rebuilding analysis result stored in mark point can be corresponding with the analysis result that expectation is rebuild
Sample information collection, by reappearing the sample information collection to rebuilding desired analysis result；It is also possible to reflection analysis stream
Reconstruction operation stream, by executing reconstruction operation stream on the basis of suitable sample information collection to rebuild desired analysis result；
Can also also there be the reconstruction operation stream of reflection analysis stream with existing sample information collection, by the basis of the sample information collection of the storage
Reconstruction operation stream is executed to rebuild desired analysis result；Index information can also be stored, another mark point is indexed, with
Just the content of another mark point storage is executed；It can also be the combination of these schemes.
Illustrate the specific application example of the application by taking HLA-B27 project as an example below.
HLA-B27 project is usually used in checking ankylosing spondylitis, and HLA-B27 inspection needs to analyze two blood samples: feminine gender ginseng
According to test tube (Isotype test tube: preparing sample using mouse antibodies and patient's fresh blood) and comparison test tube (B27 test tube: use
B27 antibody and patient's fresh blood prepare sample), inspection result (report) includes HLA-B27 custom parameter (HLA-B27 antigen
Expression) and control figure constitution (as shown in Figure 9).Leaching in HLA-B27 custom parameter result and Isotype and B27 test tube
Bar average value of the cell on the direction FITC-A is related.
Firstly, creation one sample --- flow cytometer showed object, and use HLA-B27 automatic analysis system (this system mould
The manual analysis process of quasi- HLA-B27) finished item automated analysis, Isotype and B27 test tube particle has been analyzed at this time
It completes, and has obtained main conclusions, as shown in figure 9, use state a indicates sample at this time.
Since blood sample individuation diversity ratio is larger, the sample automatically analyzed is generally also needed manually to participate in carrying out excellent
Change.Before optimizing, one is created across backing type mark point (label a), saves process analysis procedure analysis achievement.
Second step, in lymphocyte (Lym) analysis of Isotype test tube, inside and outside lymph door in observation Plot1
Particle distribution finds that the setting of lymph door is too small, needs to adjust at door more reasonable.It adjusts goalkeeper and generates door editor analysis
Flow --- analysis 1, this analysis flow the seed subset and HLA-B27 that will update lymphocyte particle collection, lymphocyte particle collection certainly
Defined parameters etc..Use state b indicates sample at this time.System can automatically generate single step rollback mark point (label b).
Third step, Isotype control analysis require the door of Isotype and B27 must be identical.Therefore it needs to adjust in B27 test tube
Lymph door is allowed to identical as in Isotype test tube.This adjustment will also generate door editor and analyze stream --- analysis 2.Use state
C indicates sample at this time.
If satisfied to the adjustment of lymph door, can by manual creation (such as click human-computer interaction interface in wound
Build button) across backing type mark point, retain and identification phase achievement.Hereafter, it can carry out to Isotype and B27 test tube
In cross door and report content accordingly edited, and generate analysis stream and mark point.
When analysis result is dissatisfied, cancelled.If it is desired to revocation third step editor, if using manual type
Retract, substantially can not because do not known pervious door where, while also implicit revocation second step editor behaviour
Make (Isotype control require keep two lymph doors identical), make sample return back to automatically analyze at the end of state, which increase remove
Sell incomplete security risk.It according to the technical solution of the application, is cancelled using label a, such as clicks human-computer interaction circle
Revocation button in face will not exist and cancel incomplete security risk, and the completion revocation settled at one go.
And so on, in entire HLA-B27 analytic process, sample state, evaluation of markers point and rollback operation will be formed
Operating process described in Figure 10.
It will be appreciated by those skilled in the art that sample information collection can also be the information collection with other data relationships, example
Such as sample data table.
It is analysis Object Creation mark point before carrying out next step cell analysis in the embodiment of the present application；When needing back
When moving back, the revocation of analysis operation is realized using the content in mark point.Analytic process is clicked through by one group of significant label
Line flag can clearly show entire analytic process；The revocation and playback of particle analysis process are completed by mark point, it is more quasi-
Really efficiently, reduce analysis time and the workload of user.Critical data in mark point (cannot be derived by other data
Calculated data), it helps promote the Information Security in analytic process.
The embodiment of the present application provides a kind of reliable convenient and fast revocation scheme so that user want to return back to before some phase
When the analysis result of prestige, it can be retracted, be avoided using artificial revocation mode to user by selecting corresponding mark point to realize
Analysis work brought by influence and increased analysis cost, be particularly important in flow cytometry.
It will be understood by those skilled in the art that all or part of the steps of various methods can pass through in above embodiment
Program instructs related hardware to complete, which can be stored in a computer readable storage medium, storage medium can wrap
It includes: read-only memory, random access memory, disk or CD etc..
Use above specific case is illustrated the present invention, is merely used to help understand the present invention not to limit
The present invention.For those of ordinary skill in the art, according to the thought of the present invention, above-mentioned specific embodiment can be become
Change.
Claims (41)
1. a kind of analysis operating result backing method, characterized by comprising:
The particle characteristics data of tested sample are analyzed, and show current analysis result；
It receives and rebuilds order, the analysis result for rebuilding order association is rebuild, the analysis result rebuild；
Wherein, include: according to particle characteristics data progress analytical procedure
It is used to obtain the sample information collection of analysis result according to particle characteristics data creation；
It modifies to current sample information collection, to modify analysis result；
It is ordered in response to creation and generates mark point, the mark point is used to store the content that can rebuild analysis result, the label
Point and reconstruction order association.
2. the method as described in claim 1, which is characterized in that
The sample information collection includes at least one set of particle characteristics data, is formed by cell point for every group of particle characteristics data
Group, cell divide the relationship between group and the statistical data to particle characteristics data；
The analysis result for rebuilding order association rebuild and includes:
It is ordered in response to rebuilding, executes the content rebuild and stored in the associated mark point of order；
The analysis result rebuild.
3. method according to claim 2, which is characterized in that the sample information integrates as sample data table or sample relationship
Tree.
4. method according to claim 2, it is characterised in that: be based at least one when modifying to current sample information collection
Analysis operational order modifies to current sample information collection, and the analysis operational order is automatically generated or rung according to analytic process
One or more made by user interface object should be changed on visible user interface in user and be generated.
5. method as claimed in claim 4, it is characterised in that: the content stored in the mark point includes at least for indicating
Mark point generates the reconstruction operation stream of analysis stream caused by the identification label and reflection analysis operational order of timing, the analysis
It flows for based on the set for once analyzing the data manipulation done when operation modifies to respective sample information collection again.
6. method as claimed in claim 5, it is characterised in that: the creation command response is in analysis operational order each time
Generation and generate, in response to creation order generate mark point when will reflection each time analyze operational order caused by analysis
The reconstruction operation stream of stream is stored in corresponding mark point；
It is described to execute the content rebuild and stored in the associated mark point of order specifically:
It obtains and rebuilds the associated mark point of order；
Read the reconstruction operation stream rebuild and stored in the associated mark point of order；
Execute according to the generation timing of mark point the reconstruction operation stream in mark point from back to front based on current sample information collection.
7. such as method described in claim 5 or 6, which is characterized in that caused by the reconstruction operation stream and analysis operational order
Analysis stream it is identical, execute mark point in reconstruction operation stream when according to reconstruction operation stream reverse data operation behavior execute
Data manipulation；Or the reconstruction operation stream is opposite with the data manipulation behavior of analysis stream caused by analysis operational order.
8. method as claimed in claim 6, which is characterized in that the reconstruction command response in the predetermined operation that user inputs and
It generates, the mark point that the reconstruction order of generation is nearest with timing is generated is associated with.
9. method as claimed in claim 6, which is characterized in that the identification label of the mark point is also used to indicate mark point
Title, by the identification label display of mark point on visible user interface；The reconstruction command response is being visualized in user
Choosing and generate to identification label in user interface, the reconstruction order association of generation generate timing and choose identification label institute at this
All mark points after corresponding mark point.
10. method according to claim 2, it is characterised in that: the content stored in the mark point includes needing to rebuild
Analyze sample information collection corresponding to result.
11. method as claimed in claim 10, it is characterised in that:
It is described to execute the content rebuild and stored in the associated mark point of order specifically:
It obtains and rebuilds the associated mark point of order, reconstructions is ordered to be automatically generated or defeated in response to user according to analytic process
The predetermined operation that enters and generate；
Read the sample information collection rebuild and stored in the associated mark point of order；
The sample information collection stored in mark point is covered to current sample information collection, is obtained according to the sample information collection after covering
Analyze result.
12. method as claimed in claim 11, it is characterised in that: when ordering generation mark point in response to creation, will mark
The sample information collection that point generates the moment is stored in mark point.
13. method as claimed in claim 11, it is characterised in that: the creation order is automatically generated or rung according to analytic process
It should be generated in the predetermined operation that user inputs.
14. method as claimed in claim 11, it is characterised in that: the content stored in the mark point further includes at least being used for
The identification label for indicating mark point title, by the identification label display of mark point on visible user interface；The reconstruction life
Enable in response to user the choosing and generate to identification label on visible user interface, the reconstruction order association of generation this choose
The corresponding mark point of identification label.
15. method as claimed in claim 14, it is characterised in that: be based at least one when modifying to current sample information collection
A analysis operational order modifies to current sample information collection, the analysis operational order automatically generated according to analytic process or
One or more made by user interface object is changed on visible user interface in response to user and is generated；The label
The content stored in point further includes caused by least one analysis operational order before reflecting the current markers point generation moment
The reconstruction operation adfluxion that adfluxion is closed is analyzed to close；
Current sample information collection is covered in the sample information collection that will be stored in mark point, and according to the sample information collection after covering
After obtaining analysis result further include:
The reconstruction operation adfluxion stored in the mark point for choosing identification label corresponding is read to close；
The reconstruction operation stream stored in mark point is covered current reconstruction operation adfluxion to close；
Based on after covering sample information collection and reconstruction operation adfluxion close, according to sequence from back to front, often receive a base
A reconstruction operation stream is then executed in the reconstruction order that the predetermined operation that user inputs generates.
16. method as claimed in claim 11, it is characterised in that: the content stored in the mark point further includes index letter
Breath, the index information are directed toward another mark point.
17. the method as described in claim 4 or 10, which is characterized in that mark point includes the title for indicating mark point
Identification label, sample information collection and analysis adfluxion are closed, and the creation order includes initial order, and the initial order is according to analysis
Process automatically generates or operates and generate in response to the predetermined creation of user's input, orders in response to creation and generates mark point packet
It includes:
It responds initial order and generates mark point；
The sample information collection that mark point generates the moment is stored into current markers point；
Analysis adfluxion after the mark point generation moment is closed into storage into current markers point；
It is described to execute the content rebuild and stored in the associated mark point of order specifically:
It obtains and rebuilds the associated mark point of order；
The sample information collection rebuild and stored in the associated mark point of order is read to close with analysis adfluxion；
Sample information collection based on storage executes analysis stream according to the analysis miscarriage raw time from front to back.
18. method as claimed in claim 17, which is characterized in that the creation order further includes terminating order, the end
Order automatically generates according to analytic process or operates and generate, described point stored in mark point in response to the predetermined creation of input
Analysis adfluxion, which is combined into, starts the mark point generation moment until receiving the analysis stream terminated between order.
19. the method as described in claim 4 or 10, which is characterized in that mark point includes the title for indicating mark point
Identification label, sample information collection and analysis adfluxion conjunction, the creation order include initial order and terminate to order, the starting life
It enables and is automatically generated according to analytic process or operate and generate in response to the predetermined creation of user's input, the end order basis point
Analysis process automatically generates or operates and generate in response to the predetermined creation of input, generates mark point in response to creation order and includes:
It responds initial order and generates mark point；
To terminate that the sample information collection for generating the moment is ordered to store into current markers point；
It will reflect that the mark point generation moment starts until receiving the reconstruction operation adfluxion for terminating the analysis adfluxion between order and closing
Storage is closed into current markers point；
It is described to execute the content rebuild and stored in the associated mark point of order specifically:
It obtains and rebuilds the associated mark point of order；
It reads and rebuilds the sample information collection stored in the associated mark point of order and the conjunction of reconstruction operation adfluxion；
Sample information collection based on storage executes reconstruction operation stream according to the analysis miscarriage raw time from back to front.
20. the method as described in claim 4 or 10, which is characterized in that mark point includes that the analysis result institute that needs to rebuild is right
The sample information collection and analysis adfluxion answered close.
21. the method as described in claim 2,4,10 or 11, which is characterized in that rebuild the associated mark point of order executing
Before the content of middle storage, first retain the copy of current sample information collection, is rebuild in the associated mark point of order when having executed
After the content of storage, current sample information collection is restored by the copy of reservation.
22. a kind of analysis operating result rollback device, characterized by comprising:
Analysis module is analyzed for the particle characteristics data to tested sample, and shows current analysis result；
Module is rebuild, order is rebuild for receiving, the analysis result for rebuilding order association is rebuild, the analysis rebuild
As a result；
Wherein the analysis module includes:
Data creating unit, for being used to obtain the sample information collection of analysis result according to particle characteristics data creation；
Unit is modified, for modifying to current sample information collection, to modify analysis result；
Mark point creating unit generates mark point for ordering in response to creation, and the mark point can rebuild analysis for storing
As a result content, the mark point and reconstruction order association.
23. device as claimed in claim 22, it is characterised in that:
The sample information collection includes at least one set of particle characteristics data, is formed by cell point for every group of particle characteristics data
Group, cell divide the relationship between group and the statistical data to particle characteristics data；
The reconstruction module is used to order in response to rebuilding, and executes the content rebuild and stored in the associated mark point of order, and
The analysis result rebuild.
24. device as claimed in claim 23, which is characterized in that the sample information integrates as sample data table or sample relationship
Tree.
25. device as claimed in claim 23, which is characterized in that the modification unit is used for based at least one analysis operation
Instruction modifies to current sample information collection, and the analysis operational order is automatically generated according to analytic process or in response to user
One or more made by user interface object is changed on visible user interface and is generated.
26. device as claimed in claim 25, which is characterized in that the content stored in the mark point includes at least being used for table
Show that mark point generates the identification label of timing and reflects the reconstruction operation stream of analysis stream caused by analysis operational order, described point
Analysis stream is based on the set for once analyzing the data manipulation done when operation modifies to respective sample information collection again；It is described heavy
Analysis knot of the modeling block for executing the reconstruction operation stream in mark point on the basis of appropriate sample information collection and being rebuild
Fruit.
27. device as claimed in claim 26, which is characterized in that the creation command response refers in analysis operation each time
The generation of order and generate, mark point creating unit in response to creation order generate mark point when will reflection each time analysis operate
The reconstruction operation stream of the caused analysis stream of instruction is stored in corresponding mark point；
The reconstruction module includes:
First obtains subelement, rebuilds the associated mark point of order for obtaining；
First reading subunit, for reading the reconstruction operation stream stored in mark point；
First executes subelement, for executing label from back to front according to the generation timing of mark point based on current sample information collection
Reconstruction operation stream in point.
28. the device as described in claim 26 or 27, which is characterized in that the reconstruction operation stream is drawn with analysis operational order
The analysis stream risen is identical, and first executes subelement when executing the reconstruction operation stream in mark point according to the reversed of reconstruction operation stream
Data manipulation behavior executes data manipulation；Or the data of analysis stream caused by the reconstruction operation stream and analysis operational order are grasped
It is opposite to make behavior.
29. device as claimed in claim 27, which is characterized in that the predetermined operation rebuilding command response and being inputted in user
And generate, the mark point that the reconstruction order of generation is nearest with timing is generated is associated with.
30. device as claimed in claim 27, which is characterized in that the identification label of the mark point is also used to indicate mark point
Title, by the identification of mark point label display on visible user interface；The reconstruction command response is in user visual
Change choosing and generate to identification label in user interface, the reconstruction order association of generation generates timing and chooses identification to mark at this
All mark points after corresponding mark point.
31. device as claimed in claim 23, which is characterized in that the content stored in the mark point includes needing to rebuild
Analyze sample information collection corresponding to result.
32. device as claimed in claim 31, which is characterized in that
The reconstruction module includes:
Second acquisition subelement rebuilds the associated mark point of order for obtaining, and the reconstruction is ordered according to analytic process certainly
It is dynamic generate or in response to user's input predetermined operation and generate；
Second reading subunit, for reading the sample information collection rebuild and stored in the associated mark point of order；
Second executes subelement, the current sample information collection in sample information collection covering caching for will store in mark point,
Analysis result is obtained according to the sample information collection after covering.
33. device as claimed in claim 32, which is characterized in that mark point creating unit is ordering generation mark in response to creation
When note point, the sample information collection that mark point generates the moment is stored in mark point；The creation is ordered according to analytic process certainly
The dynamic creation for generating or inputting on visible user interface in response to user is operated and is generated.
34. device as claimed in claim 32, which is characterized in that the content stored in the mark point further includes at least being used for
The identification label for indicating mark point title, by the identification label display of mark point on visible user interface；The reconstruction life
Enable in response to user the choosing and generate to identification label on visible user interface, the reconstruction order association of generation this choose
The corresponding mark point of identification label.
35. device as claimed in claim 34, which is characterized in that the modification unit is used for based at least one analysis operation
Instruction modifies to current sample information collection, and the analysis operational order is automatically generated according to analytic process or in response to user
One or more made by user interface object is changed on visible user interface and is generated；It is stored in the mark point
At least one before content further includes the reflection current markers point generation moment analyzes the conjunction of analysis adfluxion caused by operational order
Reconstruction operation adfluxion close；Second reading subunit, which is also used to read, to be stored in the mark point for choosing identification label corresponding
Reconstruction operation adfluxion is closed；The reconstruction operation stream that second execution subelement is also used to store in mark point covers current reconstruction behaviour
Make adfluxion conjunction；Second execution subelement be also used to based on covering after sample information collection and reconstruction operation adfluxion close, according to from rear
Forward sequence, the reconstruction order for often receiving the predetermined operation based on user's input and generating then execute an operation
Stream.
36. device as claimed in claim 32, it is characterised in that: the content stored in the mark point further includes index letter
Breath, the index information are directed toward another mark point.
37. the device as described in claim 25 or 31, which is characterized in that mark point includes the title for indicating mark point
Identification label, sample information collection and analysis adfluxion are closed, and the creation order includes initial order, and the initial order is according to analysis
Process automatically generates or operates and generate in response to the predetermined creation of user's input, and mark point creating unit is for responding starting life
It enables and generates mark point, the sample information Ji Yangbenxinxiji that mark point generates the moment is stored into current markers point, will be reflected
The reconstruction operation adfluxion that mark point generates the analysis adfluxion conjunction after the moment closes storage into current markers point；
The reconstruction module includes:
Third obtains subelement, rebuilds the associated mark point of order for obtaining；
Third reading subunit rebuilds the sample information collection stored in the associated mark point of order and reconstruction operation for reading
Adfluxion is closed；
Third executes subelement, executes reconstruction operation adfluxion for the sample information collection based on storage and closes, the system reappeared
Column analysis result.
38. device as claimed in claim 37, which is characterized in that the creation order further includes terminating order, the end
Order automatically generates according to analytic process or operates and generate, described point stored in mark point in response to the predetermined creation of input
Analysis adfluxion, which is combined into, starts the mark point generation moment until receiving the analysis stream terminated between order.
39. the device as described in claim 25 or 31, which is characterized in that mark point includes the title for indicating mark point
Identification marks and analysis adfluxion is closed, the predetermined wound that the creation order is automatically generated according to analytic process or inputted in response to user
It builds and operates and generate, mark point creating unit, which is used to order in response to creation, generates mark point, after the mark point generation moment
Analysis adfluxion close storage into current markers point；
The reconstruction module includes:
Third obtains subelement, rebuilds the associated mark point of order for obtaining；
Third reading subunit is closed for reading the analysis adfluxion rebuild and stored in the associated mark point of order；
Third executes subelement, for reversely being held from back to front based on current sample information collection according to the generation timing of analysis stream
Row analysis stream obtains the sample information collection that creation order generates the moment, analysis stream is then executed on the basis of the sample information collection
Set, a series of analysis results reappeared.
40. the device as described in claim 23,25,31 or 32, which is characterized in that further include reduction unit, the reduction is single
Member is for first retaining current sample information before rebuilding module and executing the content rebuild and stored in the associated mark point of order
The copy of collection passes through the pair of reservation after reconstruction module has executed the content rebuild and stored in the associated mark point of order
The current sample information collection of this reduction.
41. a kind of particle analyzer, characterized by comprising:
Optical detection apparatus collects particle because of optical information caused by light irradiation for carrying out light irradiation to tested sample, and defeated
Particle characteristics data corresponding with particle optical information out；
Data processing equipment is handled particle characteristics data for receiving particle characteristics data, and the processing equipment includes
Analysis operating result rollback device as described in any one of claim 22-40；
It shows equipment, is electrically coupled with data processing equipment, the data for display data processing apparatus output.
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| Application Number | Priority Date | Filing Date | Title |
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| PCT/CN2014/075634 WO2015157978A1 (en) | 2014-04-17 | 2014-04-17 | Particle analyzer and rollback method and device for analysis operation result thereof |
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| CN102007369A (en) * | 2008-02-18 | 2011-04-06 | 维森盖特有限公司 | 3d imaging of live cells with ultraviolet radiation |
| CN102792151A (en) * | 2010-03-23 | 2012-11-21 | 加州理工学院 | Super resolution optofluidic microscopes for 2D and 3D imaging |
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| US8958990B2 (en) * | 2005-10-03 | 2015-02-17 | Sysmex Corporation | Sample analyzer and sample analyzing method |
| US8266951B2 (en) * | 2007-12-19 | 2012-09-18 | Los Alamos National Security, Llc | Particle analysis in an acoustic cytometer |
| JP2009150799A (en) * | 2007-12-21 | 2009-07-09 | Sysmex Corp | Analyzer, computer program, and analysis method |
| JP5420203B2 (en) * | 2008-06-30 | 2014-02-19 | シスメックス株式会社 | Sample analyzer, particle distribution map display method, and computer program |
| US8000940B2 (en) * | 2008-10-08 | 2011-08-16 | Beckman Coulter, Inc. | Shape parameter for hematology instruments |
| JP5513040B2 (en) * | 2009-08-28 | 2014-06-04 | シスメックス株式会社 | Automatic analyzer |
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| CN102007369A (en) * | 2008-02-18 | 2011-04-06 | 维森盖特有限公司 | 3d imaging of live cells with ultraviolet radiation |
| CN102792151A (en) * | 2010-03-23 | 2012-11-21 | 加州理工学院 | Super resolution optofluidic microscopes for 2D and 3D imaging |
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