On-machine detection method, device and equipment for flow type blood sample and storage medium

Abstract

The invention relates to the technical field of flow cytometry, and discloses a machine detection method, device and equipment for a flow blood sample and a storage medium, the method comprises the following steps: determining a to-be-detected sample, and obtaining a detection scheme corresponding to the to-be-detected sample; when the sample is on the machine, generating a current on-machine list according to the to-be-detected sample on the target detection instrument; when the detection of the target detection instrument is completed, acquiring off-machine detection data; and generating a detection record file based on the current online list according to the offline detection data in combination with the detection scheme. The current online list is automatically generated according to the to-be-detected sample on the target detection instrument, and the detection record file is generated according to the obtained offline detection data in combination with the detection scheme when the detection is completed, so that the online detection data can be automatically generated, and compared with an existing manual input mode, the error rate can be reduced, and the detection efficiency is improved. And detection record information with higher reliability is obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of flow cytometry, and in particular to a method, device, equipment and storage medium for detecting a flow cytometric blood sample. Background Art

[0002] Flow cytometry is a technology that uses antigen-antibody reaction and laser-excited fluorescence to identify living cells. It can distinguish different cell types by different antigen expressions, and distinguish normal cells from abnormal cells through analysis. Flow cytometry is implemented based on a flow cytometer.

[0003] During the flow cytometer blood sample testing process, the flow cytometer requires the user to perform on-machine operations on the sample to be tested according to the test plan. However, since the flow cytometer as a testing instrument can test multiple samples at the same time, the existing manual information entry method is prone to record confusion, resulting in a high error rate in recorded data, affecting subsequent sample analysis.

[0004] The above contents are only used to assist in understanding the technical solution of the present invention, and do not constitute an admission that the above contents are related technologies. Summary of the invention

[0005] The main purpose of the present invention is to provide a method, device, equipment and storage medium for on-machine detection of flow cytometer blood samples, aiming to solve the technical problem that when performing on-machine detection of samples based on flow cytometer, the existing manual information entry method is prone to record confusion, resulting in a high error rate of recorded data and affecting subsequent sample analysis.

[0006] To achieve the above object, the present invention provides a method for detecting a flow cytometric blood sample on a machine, the method comprising the following steps:

[0007] Determine a sample to be tested, and obtain a detection scheme corresponding to the sample to be tested;

[0008] When the samples are loaded onto the machine, a current loading list is generated according to the samples to be tested on the target detection instrument;

[0009] When the target detection instrument completes detection, obtaining off-machine detection data;

[0010] According to the off-machine detection data and the detection scheme, a detection record file is generated based on the current on-machine list.

[0011] Optionally, before determining the sample to be detected and obtaining the detection scheme corresponding to the sample to be detected, the method includes:

[0012] Upon receiving a detection instruction, initializing a detection scheme according to the detection instruction;

[0013] The configuration data of the user during the scheme configuration is obtained, the detection scheme is updated according to the configuration data, and the updated detection scheme is associated with the sample to be detected.

[0014] Optionally, the configuration data includes instrument configuration data and preset CD molecules, and before the step of obtaining the configuration data of the user during the scheme configuration, updating the detection scheme according to the configuration data, and associating the updated detection scheme with the sample to be detected, further includes:

[0015] Obtaining available detection solutions for each detection instrument, wherein the available detection solutions are pre-configured as an available state or an unavailable state;

[0016] Acquire the working state of each of the detection instruments, wherein the working state is an idle state or a use state;

[0017] Pushing the available detection solutions of the detection instrument in the idle state to the user, so that the user configures the instrument based on the available detection solutions and generates instrument configuration data;

[0018] And, obtaining a CD molecule list, and pushing the CD molecule list to the user, so that the user can determine the preset CD molecules in the CD molecule list.

[0019] Optionally, when the samples are loaded onto the machine, before generating the current loading list according to the samples to be tested on the target detection instrument, the method includes:

[0020] Upon receiving the computer instruction, obtaining a number of test tubes corresponding to the samples to be tested;

[0021] Determine a target turntable test tube rack according to the detection instrument and each test tube;

[0022] The sample loading turntable interface corresponding to the target turntable test tube rack is pushed to the user, so that the user loads samples on each of the test tubes based on the sample loading turntable interface.

[0023] Optionally, when the samples are loaded onto the machine, a current loading list is generated according to the samples to be tested on the target detection instrument, including:

[0024] Initialize the machine list according to the detection scheme;

[0025] When the sample is loaded onto the machine, the position serial number of each test tube on the target turntable test tube rack is obtained;

[0026] Obtaining the protocol number of each test tube in the detection protocol, and associating the position number with the protocol number to obtain the on-machine position information;

[0027] The on-boarding list is updated according to the on-boarding location information to obtain a current on-boarding list.

[0028] Optionally, when the samples are loaded onto the machine, after generating a current loading list according to the samples to be detected on the target detection instrument, the method further includes:

[0029] Generate a barcode scanning prompt according to the current on-machine list, so that the user can scan the label barcode corresponding to each test tube;

[0030] When the label barcode scanning is completed, a photo prompt message is generated to enable the user to upload the confirmation image and enter the user number;

[0031] When the on-boarding confirmation image and the user number are received, the sample on-boarding is completed.

[0032] Optionally, the off-machine detection data includes detection data corresponding to each of the test tubes, and the generating of the detection record file based on the off-machine detection data in combination with the detection scheme and based on the current on-machine list includes:

[0033] Obtain the storage location of the current on-machine list, and create an on-machine detection folder at the storage location;

[0034] The detection scheme is associated with each of the detection data, a detection record file corresponding to each of the test tubes is generated, and each of the detection record files is stored in the on-machine detection folder.

[0035] In addition, to achieve the above-mentioned purpose, the present invention also provides a flow blood sample on-machine detection device, the device comprising:

[0036] A scheme configuration module is used to determine the sample to be detected and obtain the detection scheme corresponding to the sample to be detected;

[0037] The machine startup module is used to generate a current machine list according to the samples to be tested on the target detection instrument when the samples are being tested;

[0038] A data acquisition module, used to acquire off-machine detection data when the target detection instrument completes detection;

[0039] The detection record module is used to generate a detection record file based on the current on-board list according to the off-board detection data combined with the detection plan.

[0040] In addition, to achieve the above-mentioned purpose, the present invention also proposes an on-machine detection device for flow blood samples, the device comprising: a memory, a processor, and an on-machine detection program for flow blood samples stored in the memory and executable on the processor, the on-machine detection program for flow blood samples being configured to implement the steps of the on-machine detection method for flow blood samples as described above.

[0041] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a program for on-machine detection of flow blood samples is stored. When the program for on-machine detection of flow blood samples is executed by a processor, the steps of the on-machine detection method of flow blood samples described above are implemented.

[0042] The present invention discloses a method for on-machine detection of a flow blood sample, and the method is applied to a work order system for flow cell detection. The method first determines a sample to be detected and obtains a detection scheme corresponding to the sample to be detected; then, when the sample is on the machine, a current on-machine list is generated according to the sample to be detected on a target detection instrument; then, when the target detection instrument completes detection, off-machine detection data is obtained; finally, a detection record file is generated based on the current on-machine list according to the off-machine detection data combined with the detection scheme. Since the present invention automatically generates a current on-machine list according to the sample to be detected on the target detection instrument, and generates a detection record file according to the obtained off-machine detection data combined with the detection scheme when the detection is completed, the automatic generation of on-machine detection data can be realized, and compared with the existing manual input method, the error rate can be reduced, and more reliable detection record information can be obtained. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the structure of a flow blood sample on-machine detection device in the hardware operating environment involved in the embodiment of the present invention;

[0044] Figure 2 It is a flow chart of a first embodiment of a method for detecting a blood sample by flow cytometry according to the present invention;

[0045] Figure 3 It is a flow chart of a second embodiment of the on-machine detection method of flow cytometric blood samples of the present invention;

[0046] Figure 4 It is a flow chart of a third embodiment of the on-machine detection method of flow cytometric blood samples of the present invention;

[0047] Figure 5 It is a structural block diagram of the first embodiment of the on-machine detection device for flow-type blood samples of the present invention.

[0048] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0049] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0050] Reference Figure 1 , Figure 1 The figure is a schematic diagram of the structure of an on-machine detection device for a flow blood sample in a hardware operating environment involved in an embodiment of the present invention.

[0051] like Figure 1 As shown, the on-machine detection device for the streaming blood sample may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0052] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the on-machine detection device for flow blood samples, and may include more or less components than those shown in the figure, or a combination of certain components, or a different arrangement of components.

[0053] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating system, a network communication module, a user interface module, and an on-machine detection program for a streaming blood sample.

[0054] exist Figure 1In the on-machine detection device for flow-type blood samples shown in the figure, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the on-machine detection device for flow-type blood samples of the present invention can be set in the on-machine detection device for flow-type blood samples, and the on-machine detection device for flow-type blood samples calls the on-machine detection program for flow-type blood samples stored in the memory 1005 through the processor 1001, and executes the on-machine detection method for flow-type blood samples provided in the embodiment of the present invention.

[0055] The embodiment of the present invention provides a method for detecting a blood sample by flow cytometry. Figure 2 , Figure 2 FIG. 1 is a flow chart of a first embodiment of a method for detecting a flow cytometric blood sample on a machine according to the present invention.

[0056] In this embodiment, the flow cytometric blood sample detection method comprises the following steps:

[0057] Step S10: determine the sample to be detected, and obtain the detection scheme corresponding to the sample to be detected.

[0058] It should be noted that the method of this embodiment can be applied to the scenario of on-machine detection of flow blood samples, and can also be applied to other scenarios of flow cytometry based on flow cytometers. The method of this embodiment can be implemented based on a work order system for flow cytometry, and the execution subject of the method of this embodiment can be a computing service device that includes the work order system and has image acquisition, data processing, network communication and program running functions, or other devices that can achieve the same or similar functions and can be connected to the work order system for flow cytometry. Here, taking the above-mentioned on-machine detection device for flow blood samples that can be connected to the work order system (hereinafter referred to as the work order system) as an example, this embodiment and the following embodiments are specifically described.

[0059] It should be understood that flow cytometry can be used to detect various blood diseases, and it can detect blood samples based on flow cytometers. The detection principle of flow cytometers can be: the sample (cell) to be detected after being stained with a specific fluorescent dye is placed in a sample tube, and the cells can enter the flow chamber filled with sheath fluid under the pressure of the gas. Under the constraint of the sheath fluid, the cells are arranged in a single row and ejected from the nozzle of the flow chamber to form a cell column, and the scattered light signal and the fluorescent signal are excited by the laser, and the signals are collected by respective laser detectors, and then amplified by a photomultiplier tube (PMT), and converted into electrical signals for analysis by a computer.

[0060] It should also be noted that the use of a flow cytometer requires the user to create a detection scheme according to the detection requirements, and the detection scheme may be a scheme for obtaining samples to be detected or analyzing stored data. The detection scheme may also include the configuration information of the flow cytometer used for on-machine detection of samples and the CD molecules used for cell labeling. Therefore, in order to obtain the detection scheme corresponding to the sample to be detected, before step S10, it also includes:

[0061] Step S01: upon receiving a detection instruction, initializing a detection scheme according to the detection instruction.

[0062] It is understandable that the detection instruction can be an instruction triggered by the user based on the page of the work order system. When the work order system receives the detection instruction, it can push the preset solution management page to the user so that the user can configure the detection solution on this page.

[0063] It should also be noted that the above-mentioned preset plan management page may include a detection plan template, and the detection plan template may include multiple items to be configured, which can facilitate users to refer to the plan configuration and ultimately generate a complete detection plan.

[0064] Step S02: Acquire configuration data of the user when configuring the scheme, update the detection scheme according to the configuration data, and associate the updated detection scheme with the sample to be detected.

[0065] It should be understood that since the samples to be tested may correspond to multiple test tubes, each test tube may perform the same or different testing processes, the testing scheme may also include numbering configuration information for the multiple test tubes corresponding to the samples to be tested, such as the scheme serial number of each test tube and the testing sample number corresponding to each test tube.

[0066] It can be understood that the configuration data may include instrument configuration data and preset CD molecules. Therefore, before step S02, the following is also included:

[0067] Step S001: Acquire available detection schemes of each detection instrument, wherein the available detection schemes are pre-configured as an available state or an unavailable state.

[0068] It should be noted that, first, the historical detection schemes configured by the user based on the above-mentioned preset scheme management page can be obtained and used as the available detection schemes for each detection instrument; then, each detection instrument can be classified according to the instrument category, and the instrument category of the detection instrument based on which the above-mentioned historical detection schemes are configured can be obtained, and the instrument category applicable to each of the historical detection schemes can be determined, thereby performing status configuration of the available detection schemes for each detection instrument.

[0069] Exemplarily, if the instrument category of the detection instrument B1 on which the historical detection plan a is configured is B; then for the detection instrument B2, it belongs to the instrument category B, and among the detection plans that can be provided by the detection instrument B2, the detection plan a is in an available state; then for the detection instrument C1, it belongs to the instrument category C, and among the detection plans that can be provided by the detection instrument C1, the detection plan a is in an unavailable state.

[0070] In addition, the status of the detection solutions that can be provided by each detection instrument can also be configured based on the personalized needs of the user, which is not limited in this embodiment.

[0071] Step S002: Acquire the working status of each of the detection instruments, wherein the working status is an idle state or a use state.

[0072] Step S003: Pushing the available detection solutions of the detection instrument in the idle state to the user, so that the user configures the instrument based on the available detection solutions and generates instrument configuration data.

[0073] It is understandable that the detection instrument can be a flow cytometer of different models, and the working status of each flow cytometer can be synchronized to the work order system so that the user can select an idle detection instrument as the target detection instrument when the user needs to configure the plan and perform subsequent on-machine detection tasks.

[0074] Step S004: Acquire a CD molecule list, and push the CD molecule list to the user, so that the user can determine the preset CD molecules in the CD molecule list.

[0075] It should be understood that the CD molecule list can be a set of cluster of differentiation molecules pre-stored in the work order system. CD molecules are also called cell surface markers, which are proteins or glycoproteins on the cell membrane and are used to identify and distinguish various cell subpopulations and types. In flow cytometry, certain molecules on the cell surface can be detected and identified by CD molecules.

[0076] In a specific implementation, the work order system can classify the pre-stored CD molecule list based on function or cell type, and then push the classified CD molecule list to the user, so that the user can refer to and select the preset CD molecules that meet the configuration requirements.

[0077] It should also be noted that after the user configures the scheme based on the above steps, the configuration data can be generated, and then the work order system can fill in the information of multiple items to be configured in the detection scheme template according to the above configuration data including the instrument configuration data and the preset CD molecule, and associate the detection scheme obtained after filling in with the sample to be detected, so as to facilitate the subsequent reference for sample loading.

[0078] Step S20: When the samples are loaded onto the machine, a current loading list is generated according to the samples to be tested on the target testing instrument.

[0079] It is understandable that when the user loads the test tubes of the samples to be tested, since the target detection instrument may include multiple test tube slots, a current loading list may be generated based on the order of the test tube slots.

[0080] It should also be noted that the above-mentioned current on-board list may include data such as the above-mentioned detection scheme, samples to be detected, each of the test tubes, and detection configuration parameters of the target detection instrument. The work order system can update the information of the current on-board list one by one for each test tube slot when the user executes the sample on-board.

[0081] Step S30: When the target detection device completes the detection, the off-machine detection data is obtained.

[0082] It can be understood that during the detection process, the target detection instrument can generate, for example, instrument usage information during the detection, or cell information such as fluorescence and scattering information of the detected cells, etc. The cell information can also be stored in the form of a scatter plot or a histogram.

[0083] Step S40: Generate a detection record file based on the current on-board list according to the off-board detection data and the detection plan.

[0084] It is understandable that in order to obtain more detailed test information to facilitate subsequent sample analysis or information archiving, the off-machine test data can be combined with the test plan corresponding to the aforementioned sample to be tested to generate a test record file.

[0085] In this embodiment, the samples to be detected are first determined, and the detection scheme corresponding to the samples to be detected is obtained; then, when the samples are put on the machine, the current on-machine list is generated according to the samples to be detected on the target detection instrument; then, when the detection of the target detection instrument is completed, the off-machine detection data is obtained; finally, the detection record file is generated based on the current on-machine list according to the off-machine detection data combined with the detection scheme. Since this embodiment automatically generates the current on-machine list according to the samples to be detected on the target detection instrument, and generates the detection record file according to the obtained off-machine detection data combined with the detection scheme when the detection is completed, it can realize the automatic generation of on-machine detection data, which can reduce the error rate and obtain more reliable detection record information compared to the existing manual input method.

[0086] refer to Figure 3 , Figure 3 FIG. 1 is a flow chart of a second embodiment of a flow cytometric blood sample detection method according to the present invention.

[0087] Based on the above embodiment, in order to facilitate the user to perform sample loading, before step S20, the following steps are further included:

[0088] Step S010: upon receiving the computer instruction, obtaining a plurality of test tubes corresponding to the samples to be tested.

[0089] Step S020: determining a target turntable test tube rack according to the detection instrument and each test tube.

[0090] It should be noted that the turntable test tube rack can be adapted to various testing instruments, and a groove for positioning the bottom of the test tube is provided in the turntable test tube rack, which can accommodate a certain number of test tubes.

[0091] It should also be noted that due to differences between different testing instruments and differences in the number of test tubes required for the samples to be tested, if the number of test tubes corresponding to the samples to be tested in the testing plan is multiple, a turntable test tube rack that can be applied to the target testing instrument and can accommodate a number of test tubes not less than the required number of test tubes can be selected according to the number of test tubes.

[0092] Step S030: Pushing the sample loading turntable interface corresponding to the target turntable test tube rack to the user, so that the user loads samples on each of the test tubes based on the sample loading turntable interface.

[0093] It should also be noted that after the target turntable test tube rack is determined, the sample loading turntable interface corresponding to the target turntable test tube rack can be obtained. The sample loading turntable interface can include position numbers for identifying each of the grooves and the test tube rack number of the target turntable test tube rack.

[0094] In a specific implementation, after receiving the on-board instruction initiated by the user and determining the target test tube rack, the work order system can push the loading turntable interface corresponding to the target turntable test tube rack to the user, so that the user can load the test tubes corresponding to the samples to be tested in an orderly manner based on the serial numbers of the groove positions.

[0095] Furthermore, when the sample is put on the machine, in order to clarify the generation process of the current on-machine list, step S20 includes:

[0096] Step S201: Initialize the machine list according to the detection scheme.

[0097] It should be understood that the on-machine list may include various detection configuration parameter information in the detection plan. The on-machine list may be generated in sequence according to the position serial number of each groove after the user determines the target detection instrument and the target turntable test tube rack matching the target detection instrument based on the work order system.

[0098] In a specific implementation, the work order system generates a list containing each position number according to the position number of each groove, and stores them in the cloud storage or local storage of the work order system. Each column in the table identifies the detection configuration parameters of the test tube corresponding to the position number of each groove; each row in the table can correspond to each position number.

[0099] Step S202: when the sample is loaded onto the machine, the position serial number of each test tube on the target turntable test tube rack is obtained.

[0100] Step S203: Obtain the protocol number of each test tube in the detection protocol, and associate the position number with the protocol number to obtain the on-machine position information.

[0101] Step S204: updating the login list according to the login location information to obtain a current login list.

[0102] It should be understood that the work order system obtains in real time the groove position of each test tube, that is, the corresponding position number, when the user loads the test tubes corresponding to the samples to be tested onto the machine, and associates the position number with the numbering configuration information of the test tubes in the detection plan to obtain the loading position information of the samples to be tested.

[0103] It should also be noted that, according to the on-machine position information, the information of the test tubes can be completed based on the position numbers in the above table, so that the updated current on-machine list can include the program sequence of each test tube in the sample to be tested in the detection program and the position sequence on the target detection instrument.

[0104] Furthermore, in order to realize the operation record of the whole process of on-boarding and facilitate the subsequent abnormality tracing, after step S20, it also includes:

[0105] Step S21: Generate a barcode scanning prompt message according to the current on-machine list, so that the user can scan the label barcode corresponding to each test tube.

[0106] It should be noted that after the user completes the transfer of each test tube to the machine, the user can be prompted to scan the label barcode corresponding to each test tube according to the position number in the current machine list, and then the test sample number corresponding to each test tube is displayed on the interface of the work order system. And because the label barcode can contain the test plan and plan number of the sample to be tested corresponding to the test tube, it can be judged whether the user has performed an incorrect machine transfer operation.

[0107] It should also be noted that the scanning process of the label barcode corresponding to each untested test tube can be performed when the test tubes are transferred to the machine one by one, or after the transfer of each test tube corresponding to the sample to be tested is partially completed, and this embodiment does not limit this.

[0108] In addition, after all the test tubes corresponding to the samples to be tested have been transferred to the machine, since the operation of transferring to each test tube cannot be repeated, a new test sample number can be generated based on the test sample number corresponding to each test tube so that the process can be re-executed for subsequent verification. For ease of identification, a suffix can be added to the original test sample number to distinguish it. For example, if the original test tube corresponding to the test sample number is Le258475, the newly generated test sample number is Le258475-1.

[0109] Step S22: When the label barcode scanning is completed, a photo-taking prompt message is generated to enable the user to upload the confirmation image and enter the user number.

[0110] Step S23: When the on-boarding confirmation image and the user number are received, the sample on-boarding is completed.

[0111] It is understandable that in order to facilitate the subsequent tracing of whether the machine operation is correct and the review of the machine detection process when there are abnormal test results, a photo prompt message can be generated to remind the user to upload the machine confirmation image. The machine confirmation image can include the target detection instrument taken in real time by the user after the machine transfer of each test tube is completed, and the target turntable test tube rack on which each test tube corresponding to the sample to be tested is accommodated.

[0112] It should also be noted that in order to record the operator who logged in the sample, the work order system can prompt the user to enter the user number, which uniquely corresponds to the user, thereby further facilitating process tracing when anomalies occur in subsequent detections.

[0113] In a specific implementation, when the work order system receives the on-machine confirmation image and user number uploaded by the user, it can confirm that the on-machine loading of the sample to be tested is completed, and control the target detection instrument to perform the detection task.

[0114] In this embodiment, in order to complete the sample loading, before the user executes the sample loading, the work order system obtains several test tubes corresponding to the sample to be tested when receiving the loading instruction; determines the target turntable test tube rack according to the detection instrument and each test tube; pushes the loading turntable interface corresponding to the target turntable test tube rack to the user, so that the user can load the sample on each test tube based on the loading turntable interface, which can reduce the error of the user in loading the sample and realize the orderly loading of each test tube; when the sample is loaded on the machine, the loading list is initialized according to the detection scheme; when the sample is loaded on the machine, the position number of each test tube on the target turntable test tube rack is obtained; the scheme number of each test tube in the detection scheme is obtained, and the position number and the scheme number are associated to obtain the loading position information; the loading list is updated according to the loading position information to obtain the current loading list, which can automatically generate the current loading list in real time, avoiding the confusion of input information during manual input. After the sample is loaded onto the machine, a scan prompt is generated according to the current loading list, so that the user can scan the label barcode corresponding to each test tube; when the label barcode scanning is completed, a photo prompt is generated to enable the user to upload the loading confirmation image and enter the user number; when the loading confirmation image and the user number are received, the sample loading is completed, which is conducive to the process tracing and review of the loading operation when there are abnormal test results in the future.

[0115] refer to Figure 4 , Figure 4 FIG. 4 is a flow chart of a third embodiment of a flow cytometric blood sample detection method according to the present invention.

[0116] Based on the above embodiment, in order to associate the off-machine detection data with the on-machine list after the target detection instrument completes the detection task, so as to facilitate further sample analysis of the samples to be detected, step S40 includes:

[0117] Step S401: obtaining the storage location of the current on-machine list, and creating an on-machine detection folder in the storage location;

[0118] It should be noted that when the detection task is completed, the work order system can scan the cloud storage or local storage, determine the storage location of the above-mentioned current on-machine list, and create a corresponding on-machine detection folder in the storage location, and then store the detection results of each test tube of the sample to be tested in the on-machine detection folder respectively.

[0119] Step S402: Associating the detection scheme with each of the detection data, generating a detection record file corresponding to each of the test tubes, and storing each of the detection record files in the on-machine detection folder.

[0120] It should be understood that the off-machine detection data includes detection data corresponding to each test tube. To facilitate sample analysis, the detection scheme can be associated with the detection data of each test tube to generate various detection record files, which are uniformly stored in the on-machine detection folder.

[0121] It should also be noted that after obtaining the test record files of each test tube, each test record file can be searched and matched based on the current on-machine list to determine whether there are missing test record files. Specifically, the standard time of the unit test tube can also be pre-set. If the retrieval time for the test record file of a test tube exceeds the standard time, the retrieval of the test record file of the test tube is skipped, and the retrieval of the test record file of the next test tube is performed.

[0122] In addition, the retrieved abnormal-sized test record files can be identified, the corresponding test tubes can be determined, and the position number or scheme number of the test tube can be obtained to provide a pop-up window prompt so that the user can perform abnormal detection on the test tube.

[0123] This embodiment obtains the storage location of the on-machine list and creates an on-machine detection folder in the storage location; associates the detection scheme with each of the detection data, generates a detection record file corresponding to each of the test tubes, and stores each of the detection record files in the on-machine detection folder. Automatic association and storage of on-machine data and off-machine data is achieved, eliminating manual operations, and is conducive to further improving the reliability of the obtained detection record information.

[0124] In addition, an embodiment of the present invention further proposes a storage medium, on which a flow cytometer blood sample on-machine detection program is stored. When the flow cytometer blood sample on-machine detection program is executed by a processor, the steps of the flow cytometer blood sample on-machine detection method described above are implemented.

[0125] refer to Figure 5 , Figure 5 It is a structural block diagram of the first embodiment of the on-machine detection device for flow-type blood samples of the present invention.

[0126] like Figure 5 As shown, the flow blood sample on-machine detection device of the present invention comprises:

[0127] The scheme configuration module 501 is used to determine the sample to be detected and obtain the detection scheme corresponding to the sample to be detected;

[0128] The on-machine starting module 502 is used to generate a current on-machine list according to the samples to be tested on the target detection instrument when the samples are on-machine;

[0129] A data acquisition module 503 is used to acquire off-machine detection data when the target detection instrument completes detection;

[0130] The detection record module 504 is used to generate a detection record file based on the current on-board list according to the off-board detection data combined with the detection plan.

[0131] Furthermore, the scheme configuration module 501 is also used to initialize the detection scheme according to the detection instruction when receiving the detection instruction; obtain the configuration data of the user when configuring the scheme, update the detection scheme according to the configuration data, and associate the updated detection scheme with the sample to be detected. The configuration data includes instrument configuration data and preset CD molecules.

[0132] The scheme configuration module 501 is also used to obtain the available detection schemes of each detection instrument, wherein the available detection schemes are pre-configured as an available state or an unavailable state; obtain the working state of each detection instrument, wherein the working state is an idle state or an in-use state; push the available detection schemes of the detection instrument in the idle state to the user, so that the user configures the instrument based on the available detection schemes and generates instrument configuration data; and obtain a CD molecule list, and push the CD molecule list to the user, so that the user determines the preset CD molecules in the CD molecule list.

[0133] In this embodiment, the samples to be detected are first determined, and the detection scheme corresponding to the samples to be detected is obtained; then, when the samples are put on the machine, the current on-machine list is generated according to the samples to be detected on the target detection instrument; then, when the detection of the target detection instrument is completed, the off-machine detection data is obtained; finally, the detection record file is generated based on the current on-machine list according to the off-machine detection data combined with the detection scheme. Since this embodiment automatically generates the current on-machine list according to the samples to be detected on the target detection instrument, and generates the detection record file according to the obtained off-machine detection data combined with the detection scheme when the detection is completed, it can realize the automatic generation of on-machine detection data, which can reduce the error rate and obtain more reliable detection record information compared to the existing manual input method.

[0134] Based on the first embodiment of the on-machine detection device for flow-type blood samples of the present invention, a second embodiment of the on-machine detection device for flow-type blood samples of the present invention is proposed.

[0135] In this embodiment, further, the on-board startup module 502 is also used to obtain a number of test tubes corresponding to the samples to be tested when an on-board instruction is received; determine the target turntable test tube rack according to the detection instrument and each of the test tubes; and push the loading turntable interface corresponding to the target turntable test tube rack to the user, so that the user can load samples for each of the test tubes based on the loading turntable interface.

[0136] The on-machine startup module 502 is also used to initialize the on-machine list according to the detection plan; when the sample is on the machine, obtain the position number of each test tube on the target turntable test tube rack; obtain the plan number of each test tube in the detection plan, and associate the position number with the plan number to obtain the on-machine position information; update the on-machine list according to the on-machine position information to obtain the current on-machine list.

[0137] The on-machine startup module 502 is also used to generate a scan prompt message based on the current on-machine list so that the user can scan the label barcode corresponding to each test tube; when the label barcode scanning is completed, a photo taking prompt message is generated so that the user can upload an on-machine confirmation image and enter a user number; when the on-machine confirmation image and the user number are received, the sample on-machine is completed.

[0138] The detection record module 504 is used to obtain the storage location of the on-machine list and create an on-machine detection folder in the storage location; associate the detection scheme with each of the detection data, generate a detection record file corresponding to each of the test tubes, and store each of the detection record files in the on-machine detection folder. The off-machine detection data includes the detection data corresponding to each of the test tubes.

[0139] Other embodiments or specific implementations of the on-machine detection device for flow-type blood samples of the present invention can refer to the above-mentioned method embodiments, which will not be described in detail here.

[0140] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0141] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0142] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0143] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for detecting a blood sample by flow cytometry, characterized in that: The method is applied to a work order system for flow cytometry detection, and the method comprises: Determine a sample to be tested, and obtain a detection scheme corresponding to the sample to be tested; When the samples are loaded onto the machine, a current loading list is generated according to the samples to be tested on the target detection instrument; When the target detection instrument completes detection, obtaining off-machine detection data; According to the off-machine detection data and the detection scheme, a detection record file is generated based on the current on-machine list.

2. The method for detecting a blood sample by flow cytometry as claimed in claim 1, characterized in that: Before determining the sample to be detected and obtaining the detection scheme corresponding to the sample to be detected, the method includes: Upon receiving a detection instruction, initializing a detection scheme according to the detection instruction; The configuration data of the user during the scheme configuration is obtained, the detection scheme is updated according to the configuration data, and the updated detection scheme is associated with the sample to be detected.

3. The method for detecting a blood sample by flow cytometry as claimed in claim 2, characterized in that: The configuration data includes instrument configuration data and preset CD molecules. Before acquiring the configuration data of the user during the scheme configuration, updating the detection scheme according to the configuration data, and associating the updated detection scheme with the sample to be detected, the method further includes: Obtaining available detection solutions for each detection instrument, wherein the available detection solutions are pre-configured as an available state or an unavailable state; Acquire the working state of each of the detection instruments, wherein the working state is an idle state or a use state; Pushing the available detection solutions of the detection instrument in the idle state to the user, so that the user configures the instrument based on the available detection solutions and generates instrument configuration data; And, obtaining a CD molecule list, and pushing the CD molecule list to the user, so that the user can determine the preset CD molecules in the CD molecule list.

4. The method for detecting a blood sample by flow cytometry as claimed in claim 3, characterized in that: When the samples are loaded onto the machine, before generating the current loading list according to the samples to be detected on the target detection instrument, the following steps are included: Upon receiving the computer instruction, obtaining a number of test tubes corresponding to the samples to be tested; Determine a target turntable test tube rack according to the detection instrument and each test tube; The sample loading turntable interface corresponding to the target turntable test tube rack is pushed to the user, so that the user loads samples on each of the test tubes based on the sample loading turntable interface.

5. The method for detecting a blood sample by flow cytometry as claimed in claim 4, characterized in that: When the samples are loaded onto the machine, a current loading list is generated according to the samples to be tested on the target detection instrument, including: Initialize the machine list according to the detection scheme; When the sample is loaded onto the machine, the position serial number of each test tube on the target turntable test tube rack is obtained; Obtaining the protocol number of each test tube in the detection protocol, and associating the position number with the protocol number to obtain the on-machine position information; The on-boarding list is updated according to the on-boarding location information to obtain a current on-boarding list.

6. The method for detecting a blood sample by flow cytometry as claimed in claim 4, characterized in that: When the samples are loaded onto the machine, after generating the current loading list according to the samples to be detected on the target detection instrument, the method further includes: Generate a barcode scanning prompt according to the current on-machine list, so that the user can scan the label barcode corresponding to each test tube; When the label barcode scanning is completed, a photo prompt message is generated to enable the user to upload the confirmation image and enter the user number; When the on-boarding confirmation image and the user number are received, the sample on-boarding is completed.

7. The method for detecting a blood sample by flow cytometry as claimed in claim 4, characterized in that: The off-machine detection data includes detection data corresponding to each of the test tubes, and the detection record file is generated based on the off-machine detection data and the detection scheme and the current on-machine list, including: Obtain the storage location of the current on-machine list, and create an on-machine detection folder at the storage location; The detection scheme is associated with each of the detection data to generate a detection record file corresponding to each of the test tubes, and each of the detection record files is stored in the on-machine detection folder.

8. A flow-type blood sample on-machine detection device, characterized in that: The device comprises: A scheme configuration module is used to determine the sample to be detected and obtain the detection scheme corresponding to the sample to be detected; The machine startup module is used to generate a current machine list according to the samples to be tested on the target detection instrument when the samples are being tested; A data acquisition module, used to acquire off-machine detection data when the target detection instrument completes detection; The detection record module is used to generate a detection record file based on the current on-board list according to the off-board detection data combined with the detection plan.

9. A flow-type blood sample on-machine detection device, characterized in that: The device comprises: a memory, a processor, and a flow-type blood sample on-machine detection program stored in the memory and executable on the processor, wherein the flow-type blood sample on-machine detection program is configured to implement the steps of the flow-type blood sample on-machine detection method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a flow cytometric blood sample on-machine detection program, and when the flow cytometric blood sample on-machine detection program is executed by the processor, the steps of the flow cytometric blood sample on-machine detection method according to any one of claims 1 to 7 are implemented.

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