CN117476115A - Antibody auxiliary analysis system for red blood cell pattern - Google Patents
Antibody auxiliary analysis system for red blood cell pattern Download PDFInfo
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- CN117476115A CN117476115A CN202311411956.6A CN202311411956A CN117476115A CN 117476115 A CN117476115 A CN 117476115A CN 202311411956 A CN202311411956 A CN 202311411956A CN 117476115 A CN117476115 A CN 117476115A
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- 210000003743 erythrocyte Anatomy 0.000 title claims abstract description 69
- 238000004458 analytical method Methods 0.000 title claims abstract description 24
- 238000001228 spectrum Methods 0.000 claims abstract description 171
- 238000012360 testing method Methods 0.000 claims abstract description 38
- 210000004027 cell Anatomy 0.000 claims description 31
- 238000012795 verification Methods 0.000 claims description 22
- 239000003153 chemical reaction reagent Substances 0.000 claims description 20
- 238000004140 cleaning Methods 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 14
- 238000011534 incubation Methods 0.000 claims description 10
- 230000000007 visual effect Effects 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 4
- 238000003909 pattern recognition Methods 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 239000000427 antigen Substances 0.000 description 13
- 102000036639 antigens Human genes 0.000 description 13
- 108091007433 antigens Proteins 0.000 description 13
- 238000006243 chemical reaction Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 7
- 210000004369 blood Anatomy 0.000 description 5
- 239000008280 blood Substances 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 5
- 239000000284 extract Substances 0.000 description 3
- 230000004520 agglutination Effects 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000010355 oscillation Effects 0.000 description 1
- 238000001556 precipitation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
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- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
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Abstract
The invention relates to the technical field of digital medical treatment, in particular to an antibody auxiliary analysis system for a red blood cell pattern spectrum, which comprises the following components: the pattern spectrum input module is used for acquiring red blood cell pattern spectrum data from an external test system; the pattern spectrum recognition module is used for matching the red blood cell pattern spectrum data by adopting a pattern spectrum template so as to obtain a corresponding pattern spectrum template; the result output module is connected with the pattern spectrum recognition module, and generates and outputs an analysis result according to the pattern spectrum template and the erythrocyte pattern spectrum data. The beneficial effects are that: a pattern spectrum template constructed according to actual medical data is introduced, the current red blood cell pattern spectrum data is quickly matched according to the pattern spectrum template to obtain a corresponding pattern spectrum template, and further, the auxiliary interpretation of the red blood cell pattern spectrum data is realized according to the pattern spectrum template, so that the existence of an actual antibody in a sample is more accurately judged.
Description
Technical Field
The invention relates to the technical field of digital medical treatment, in particular to an antibody auxiliary analysis system for a red blood cell pattern spectrum.
Background
Erythrocyte pattern (Blood Group Antigen Profiling) is a technique for recognizing erythrocyte surface antigens. In this process, antibodies are used to bind to specific antigens on the surface of red blood cells, thereby determining blood type. The reagent red blood cell for identifying antibody is named as spectrum cell, and is composed of 10-12 human or 16 human type 0 red blood cells, and has various antigen components of different blood group systems, and common antibodies can be identified according to the reaction pattern. The spectrum cells contain a variety of common blood group system antigens: such as Rh system D, C, c, E, e antigen; MNS system M, N, S, s antigen; p system P1 antigen; a Kell system K, k antigen; the Kidd System Jka, jkb antigen; duffy system Fya, fyb antigen; lewis systems Lea, leb antigens. The spectrum cell can identify most single antibodies and a plurality of mixed antibodies, and is a method widely used in blood transfusion departments.
In the prior art, a specific antibody is generally added into a red blood cell sample in an assay process aiming at a red blood cell pattern, and the visible reaction such as agglutination or precipitation of red blood cells caused by the combination of the antibody and an antigen on the surface of the red blood cells is observed according to a corresponding test flow, so that a red blood cell pattern is obtained in a summarizing way, and then positive results in the red blood cell pattern are summarized and compared manually, so that the actually existing antibody is judged.
However, in practical implementation, the inventors found that the number of spectrum cells involved in the test is as large as 18, which results in complex positive reaction of spectrum cells to antibodies, and that the efficiency of cross judgment by manual work is low and error is prone.
Disclosure of Invention
In view of the foregoing problems in the prior art, an antibody assisted analysis system for red blood cell pattern is now provided.
The specific technical scheme is as follows:
an antibody-assisted analysis system for red blood cell pattern, comprising:
the pattern spectrum input module is used for acquiring red blood cell pattern spectrum data from an external test system;
the pattern spectrum recognition module is used for matching the red blood cell pattern spectrum data by adopting a pattern spectrum template so as to acquire the corresponding pattern spectrum template;
the result output module is connected with the pattern spectrum recognition module, and generates and outputs an analysis result according to the pattern spectrum template and the erythrocyte pattern spectrum data.
In another aspect, the pattern spectrum input module includes:
an antibody receiving module, which controls the test system to receive an external sample to be tested;
the incubation module controls the test system to mix the sample to be detected with the profiling cell reagent;
the pattern spectrum generation module is connected with the test system and controls the test system to identify the spectrum cell reagent so as to obtain the red blood cell pattern spectrum data.
In another aspect, the pattern spectrum input module further includes:
the environment control module is respectively connected with the test system, the incubation module and the pattern spectrum generation module, and controls the spectrum cell reagent to keep a first preset time length at a first preset temperature after the sample to be detected and the spectrum cell reagent are mixed;
and when the first preset duration is reached, the environment control module sends an acquisition instruction to the pattern spectrum generation module so that the pattern spectrum generation module generates the red blood cell pattern spectrum data.
In another aspect, the pattern spectrum recognition module includes:
the template storage module is used for storing the pattern spectrum template in advance;
the Boolean operation module is connected with the template storage module, and is used for receiving the red blood cell pattern spectrum data and sequentially extracting the pattern spectrum templates;
and the Boolean operation module carries out Boolean operation on the pattern spectrum template and the red blood cell pattern spectrum data to judge whether the pattern spectrum template accords with the red blood cell pattern spectrum data or not until the matched pattern spectrum template is obtained.
On the other hand, the system also comprises a template generation module, wherein the template generation module is connected with the template storage module and inputs the pattern spectrum template to the template storage module;
the template generation module comprises:
the data acquisition module is connected with an external data source and acquires medical data from the data source;
the data cleaning module is connected with the data acquisition module and is used for extracting cleaning data from the medical data;
the formatting processing module is connected with the data cleaning module and generates the pattern spectrum template according to the cleaning data.
In another aspect, the template generation module further includes:
and the manual editing module is used for creating an editing interface, responding to the template creation instruction and building the pattern spectrum template.
In another aspect, the result output module includes:
the antibody recognition module receives the pattern template and the red blood cell pattern data, and processes the red blood cell pattern data according to the pattern template to obtain an antibody recognition result;
the antibody recognition result includes an antibody that may be present, an antibody that may not be present, an antibody to be identified, a monoclonal antibody that may be present;
the interface display module is connected with the antibody recognition module, creates a visual interface and displays the antibody recognition result in the visual interface.
In another aspect, the result output module further includes:
the user verification module is connected with the interface display module, and generates a verification interface in the visual interface, and the verification interface receives an identity verification instruction input by a user and judges whether the user passes verification;
the interface display module displays the antibody recognition result only when the user passes the authentication.
The technical scheme has the following advantages or beneficial effects:
aiming at the problems of low efficiency and easy error of the red blood cell pattern spectrum interpretation method in the prior art, in the embodiment, a pattern spectrum template constructed according to actual medical data is introduced, the current red blood cell pattern spectrum data is rapidly matched according to the pattern spectrum template to obtain a corresponding pattern spectrum template, and further, the auxiliary interpretation of the red blood cell pattern spectrum data is realized according to the pattern spectrum template, so that the existence of the actual antibody in the sample is more accurately judged.
Drawings
Embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The drawings, however, are for illustration and description only and are not intended as a definition of the limits of the invention.
FIG. 1 is an overall schematic of an embodiment of the present invention;
FIG. 2 is a schematic diagram of a pattern spectrum input module according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a pattern spectrum generating module according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a pattern spectrum recognition module according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a module generation module in an embodiment of the invention;
FIG. 6 is a schematic diagram of a manual editing module according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a result output module according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a user authentication module according to an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other.
The invention is further described below with reference to the drawings and specific examples, which are not intended to be limiting.
The invention comprises the following steps:
an antibody assisted analysis system for a red blood cell pattern, as shown in fig. 1, comprising:
the pattern spectrum input module 1 is used for acquiring red blood cell pattern spectrum data from an external test system;
the pattern spectrum recognition module 2 is used for matching the red blood cell pattern spectrum data by adopting a pattern spectrum template to obtain a corresponding pattern spectrum template;
the result output module 3 is connected with the pattern spectrum recognition module 2, and the result output module 3 generates and outputs an analysis result according to the pattern spectrum template and the erythrocyte pattern spectrum data.
In particular, aiming at the problems of low efficiency and easy error of the red blood cell pattern spectrum interpretation method in the prior art, a pattern spectrum template constructed according to actual medical data is introduced in the embodiment, when the pattern spectrum input module 1 receives the red cell pattern spectrum data obtained by the external spectrum cell test, the pattern spectrum recognition module 2 matches the red cell pattern spectrum data according to the pattern spectrum template, thereby obtaining the nearest pattern spectrum template, based on the pattern spectrum template, the antibody data corresponding to the current red blood cell pattern spectrum data can be roughly distinguished, at this time, the result output module 3 further analyzes according to the pattern spectrum template and the red blood cell pattern spectrum data, corrects the non-conforming part, generates an analysis result and outputs the analysis result, thereby realizing the auxiliary interpretation of the red blood cell pattern spectrum data and more accurately judging the actual existence of the antibody in the sample.
In the implementation process, the analysis system is mainly used as a software embodiment and is arranged in a corresponding computing device, such as a hospital electronic information system, a workstation of a clinical laboratory or a transfusion department, or other equivalent devices, and is used for receiving the red blood cell pattern spectrum data obtained by the test system through the spectrum cell test through a corresponding software interface, so as to judge and output the antibodies in the sample to be tested. The test system is a workstation for testing, and can receive corresponding samples to be tested, test the samples by using a spectrum cell reagent according to a test procedure specified in related literature, and collect test results into red blood cell pattern spectrum data to be output. The pattern spectrum template is template data which is obtained by processing based on medical data in advance and comprises a certain group of red blood cell pattern spectrum data and the contrast relation of the actually corresponding antibody information. The analysis result is the analysis result which is output by the result output module 3 and used for representing which antibody exists in the sample.
In one embodiment, as shown in fig. 2, the pattern spectrum input module 1 includes:
an antibody receiving module 11, the antibody receiving module 11 controlling the test system 1A to receive an external sample to be tested;
the incubation module 12, the incubation module 12 controls the test system 1A to mix the sample to be tested with the spectrum cell reagent;
the pattern generation module 13 is connected with the test system 1A, and the pattern generation module 13 controls the test system 1A to identify the spectrum cell reagent so as to obtain red blood cell pattern data.
Specifically, in order to achieve a better test effect, in this embodiment, for a sample to be tested, a test system 1A is used to process the sample to be tested. When a sample to be detected is input, the antibody receiving module 11 controls the test system 1A to receive the sample to be detected, and then, the incubation module 12 controls the test system 1A to mix the sample to be detected with the cell reagents according to corresponding test requirements. If the corresponding antibody is present in the sample to be tested, it will react with the corresponding profiling cell reagent. After the reaction is completed, the pattern spectrum generation module 13 controls the test system 1A to respectively identify and collect the reaction results in each group of spectrum cell reagents so as to form red blood cell pattern spectrum data.
In one embodiment, as shown in fig. 3, the pattern spectrum input module 1 further includes:
the environment control module 14, the environment control module 14 is respectively connected with the test system 1A, the incubation module 12 and the pattern spectrum generation module 13, and after the sample to be detected and the spectrum cell reagent are mixed, the environment control module 14 controls the spectrum cell reagent to keep a first preset time period at a first preset temperature;
when the first preset duration is reached, the environmental control module 14 sends an acquisition instruction to the pattern spectrum generation module 13, so that the pattern spectrum generation module 13 generates red blood cell pattern spectrum data.
Specifically, in order to achieve a better test effect, in this embodiment, an environmental control module 14 is provided and is respectively connected to the test system 1A, the incubation module 12, and the pattern spectrum generation module 13. After the incubation module 12 controls the test system 1A to mix the sample to be tested and the spectrum cell reagent, the environmental control module 14 starts to perform environmental control on the test system 1A, specifically including controlling the reaction temperature to a first preset temperature, typically 37 degrees celsius, and then thoroughly mixing the sample to be tested and the spectrum cell reagent at the temperature by means of oscillation or the like, and maintaining the first preset time period, typically 40 minutes. Subsequently, the environmental control module 14 sends an acquisition instruction to the pattern spectrum generation module 13, so that the pattern spectrum generation module 13 acquires and gathers the reaction results in the spectrum cell reagent to form red blood cell pattern spectrum data.
In one embodiment, as shown in fig. 4, the pattern spectrum recognition module 2 includes:
the template storage module 21 is used for storing a pattern spectrum template in advance in the template storage module 21;
the Boolean operation module 22 is connected with the template storage module 21, and the Boolean operation module 22 receives the red blood cell pattern spectrum data and sequentially extracts pattern spectrum templates;
the boolean operation module 22 performs boolean operations on the pattern spectrum template and the red blood cell pattern spectrum data to determine whether the pattern spectrum template matches the red blood cell pattern spectrum data until a matched pattern spectrum template is obtained.
Specifically, in order to achieve a better rapid recognition effect, in this embodiment, a large number of pattern spectrum templates are stored in advance by the template storage module 21, and then, after receiving the red cell pattern spectrum data, the boolean operation module 22 sequentially extracts the pattern spectrum templates and performs boolean operation with the red cell pattern spectrum data to determine whether the pattern spectrum templates are matched with the red cell pattern spectrum data, thereby finding the nearest pattern spectrum template and achieving a faster recognition effect.
In one embodiment, as shown in fig. 5, the system further comprises a template generating module 4, wherein the template generating module 4 is connected with the template storage module 21 and inputs a pattern spectrum template to the template storage module;
the template generation module 4 includes:
the data acquisition module 41, the data acquisition module 41 is connected with an external data source 4A and acquires medical data from the data source 4A;
the data cleaning module 42, the data cleaning module 42 is connected with the data acquisition module 41, and the data cleaning module 41 extracts cleaning data from medical data;
the formatting process module 43, the formatting process module 43 is connected with the data cleaning module 42, and the formatting process module 43 generates a pattern spectrum template according to the cleaning data.
Specifically, in order to achieve a better recognition effect, in this embodiment, the system is further configured with a template generating module 4 to extract medical data from an external data source 4A and generate a pattern spectrum template to facilitate subsequent recognition. The template generating module 4 is provided with a data collecting module 41, the data collecting module 41 is connected with an external data source 4A and obtains medical data, then, the data cleaning module 42 cleans the medical data to remove irrelevant items, only retains the content related to the antibody and the erythrocyte pattern, and finally, the formatting processing module 43 assembles the data to form a pattern template with a specific format.
In one embodiment, as shown in fig. 6, the template generation module 4 further includes:
the manual editing module 44, the manual editing module 44 creates an editing interface, and the editing interface responds to the template creation instruction and creates a pattern spectrum template.
Specifically, to implement a more comprehensive template construction function, in this embodiment, an editing interface is also generated by the manual editing module 44, and in the editing interface, a user can establish a specific pattern spectrum template by inputting a creation instruction and add the specific pattern spectrum template to the storage module, so as to implement coverage of a part of rare use cases.
In one embodiment, as shown in fig. 7, the result output module 3 includes:
the antibody recognition module 31, the antibody recognition module 31 receives the pattern template and the red blood cell pattern data, and the antibody recognition module 31 processes the red blood cell pattern data according to the pattern template to obtain an antibody recognition result;
antibody recognition results include antibodies that may be present, antibodies that may not be present, antibodies to be identified, monoclonal antibodies that may be present;
the interface display module 32, the interface display module 32 connects the antibody recognition module 31, the interface display module 32 creates a visual interface, and display the antibody recognition result in the visual interface.
Specifically, in order to achieve a better output effect, in this embodiment, after the matched pattern spectrum template is obtained, the antibody recognition module 31 further recognizes the red blood cell pattern spectrum data according to the pattern spectrum template, and confirms whether the data of the red blood cell pattern spectrum data completely matches with the pattern spectrum template, if not, the inconsistent part is extracted, then the knowledge graph is combined for further correction, then the corresponding antibody recognition result is obtained, and then the interface display module 32 presents the antibody recognition result in a form of a visual interface, thereby achieving a better display effect.
In one embodiment, as shown in fig. 8, the result output module 3 further includes:
the user verification module 33, the user verification module 33 is connected with the interface display module 32, the user verification module 33 generates a verification interface in the visual interface, and the verification interface receives an identity verification instruction input by a user and judges whether the user passes the verification;
the interface display module 32 displays the antibody recognition result only when the user passes the authentication.
Specifically, in order to improve the security of the medical data, in this embodiment, the user verification module 33 is further preset before the interface display module 32 displays the antibody recognition result, and a verification interface is generated by the user verification module 33, and the verification interface receives the authentication instruction input by the user and determines whether the user passes the verification, so as to control the display of the result. The authentication instructions may be implemented using an account + key, or other means.
The foregoing is merely illustrative of the preferred embodiments of the present invention and is not intended to limit the embodiments and scope of the present invention, and it should be appreciated by those skilled in the art that equivalent substitutions and obvious variations may be made using the description and illustrations of the present invention, and are intended to be included in the scope of the present invention.
Claims (8)
1. An antibody assisted analysis system for a red blood cell pattern comprising:
the pattern spectrum input module is used for acquiring red blood cell pattern spectrum data from an external test system;
the pattern spectrum recognition module is used for matching the red blood cell pattern spectrum data by adopting a pattern spectrum template so as to acquire the corresponding pattern spectrum template;
the result output module is connected with the pattern spectrum recognition module, and generates and outputs an analysis result according to the pattern spectrum template and the erythrocyte pattern spectrum data.
2. The antibody-assisted analysis system of claim 1, wherein the pattern spectrum input module comprises:
an antibody receiving module, which controls the test system to receive an external sample to be tested;
the incubation module controls the test system to mix the sample to be detected with the profiling cell reagent;
the pattern spectrum generation module is connected with the test system and controls the test system to identify the spectrum cell reagent so as to obtain the red blood cell pattern spectrum data.
3. The antibody-assisted analysis system of claim 2, wherein the pattern spectrum input module further comprises:
the environment control module is respectively connected with the test system, the incubation module and the pattern spectrum generation module, and controls the spectrum cell reagent to keep a first preset time length at a first preset temperature after the sample to be detected and the spectrum cell reagent are mixed;
and when the first preset duration is reached, the environment control module sends an acquisition instruction to the pattern spectrum generation module so that the pattern spectrum generation module generates the red blood cell pattern spectrum data.
4. The antibody-assisted analysis system of claim 1, wherein the pattern recognition module comprises:
the template storage module is used for storing the pattern spectrum template in advance;
the Boolean operation module is connected with the template storage module, and is used for receiving the red blood cell pattern spectrum data and sequentially extracting the pattern spectrum templates;
and the Boolean operation module carries out Boolean operation on the pattern spectrum template and the red blood cell pattern spectrum data to judge whether the pattern spectrum template accords with the red blood cell pattern spectrum data or not until the matched pattern spectrum template is obtained.
5. The antibody-assisted analysis system of claim 4, further comprising a template generation module coupled to the template storage module and inputting the pattern spectrum template to the template storage module;
the template generation module comprises:
the data acquisition module is connected with an external data source and acquires medical data from the data source;
the data cleaning module is connected with the data acquisition module and is used for extracting cleaning data from the medical data;
the formatting processing module is connected with the data cleaning module and generates the pattern spectrum template according to the cleaning data.
6. The antibody-assisted analysis system of claim 5, wherein the template generation module further comprises:
and the manual editing module is used for creating an editing interface, responding to the template creation instruction and building the pattern spectrum template.
7. The antibody-assisted analysis system of claim 1, wherein the results output module comprises:
the antibody recognition module receives the pattern template and the red blood cell pattern data, and processes the red blood cell pattern data according to the pattern template to obtain an antibody recognition result;
the antibody recognition result includes an antibody that may be present, an antibody that may not be present, an antibody to be identified, a monoclonal antibody that may be present;
the interface display module is connected with the antibody recognition module, creates a visual interface and displays the antibody recognition result in the visual interface.
8. The antibody-assisted analysis system of claim 7, wherein the results output module further comprises:
the user verification module is connected with the interface display module, and generates a verification interface in the visual interface, and the verification interface receives an identity verification instruction input by a user and judges whether the user passes verification;
the interface display module displays the antibody recognition result only when the user passes the authentication.
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