CN115015189A - Fluorescence analyzer, fluorescence analysis system and test tube identification method - Google Patents
Fluorescence analyzer, fluorescence analysis system and test tube identification method Download PDFInfo
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- CN115015189A CN115015189A CN202210372211.2A CN202210372211A CN115015189A CN 115015189 A CN115015189 A CN 115015189A CN 202210372211 A CN202210372211 A CN 202210372211A CN 115015189 A CN115015189 A CN 115015189A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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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
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
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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
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
- G01N2035/00742—Type of codes
- G01N2035/00752—Type of codes bar codes
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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
- G01N35/00722—Communications; Identification
- G01N35/00732—Identification of carriers, materials or components in automatic analysers
- G01N2035/00821—Identification of carriers, materials or components in automatic analysers nature of coded information
- G01N2035/00831—Identification of carriers, materials or components in automatic analysers nature of coded information identification of the sample, e.g. patient identity, place of sampling
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Abstract
The invention relates to a fluorescence analyzer, an analysis system and a test tube identification method, comprising the following steps: the test tube identification system is internally provided with a communication module; the test tube identification system comprises a main system and a functional system, wherein the main system is used for connecting the test tube identification system with the main system in a communication way through a communication module, and the functional system is used for being electrically connected with the main system; the test tube identification system also comprises a control module and a camera module, wherein the camera module is used for collecting pictures of the test tubes led into the fluorescence analyzer; the control module is electrically connected with the camera module, an algorithm for identifying the test tube is configured in the control module, and the image acquired by the camera module is calculated through the algorithm to further identify the information of the test tube; the functional system comprises a plurality of detection modules for detecting and analyzing samples in the test tube, and the samples in the test tube are detected through the detection modules in the main system control functional system according to the test tube identified by the test tube identification system.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the field of medical equipment, in particular to a fluorescence analyzer, and further particularly relates to an analysis system and a test tube identification method.
[ background of the invention ]
Fluorescence analyzers in the medical technology field, fluorescence analyzers perform immunodetection, and the fluorescence immunoassay technology has the advantages of strong specificity, high sensitivity and good practicability, so that it is used for measuring bioactive compounds with very low content, such as proteins (enzymes, receptors and antibodies), hormones (steroids, thyroid hormones and phthalein hormones), drugs and microorganisms.
The conventional fluorescence analysis instrument usually adopts a manual mode to sample a sample, and an operator is required to configure the types of test tubes and the types of the sample, however, the types of the test tubes used in a hospital are various, the manual configuration efficiency of the operator is low, and the problems of detection flow errors, analysis data errors and the like are caused due to the fact that the operator performs misoperation, and configuration operation errors are caused.
[ summary of the invention ]
Aiming at the defects in the prior art, the invention aims to provide a fluorescence analyzer, which comprises:
the test tube identification system is internally provided with a communication module;
the test tube identification system comprises a main system and a functional system, wherein the main system is used for connecting the test tube identification system with the main system in a communication way through a communication module, and the functional system is used for being electrically connected with the main system;
the test tube identification system also comprises a control module and a camera module, wherein the camera module is used for collecting pictures of the test tubes led into the fluorescence analyzer;
the control module is electrically connected with the camera module, an algorithm for identifying the test tube is configured in the control module, and the image acquired by the camera module is calculated through the algorithm to further identify the information of the test tube;
the functional system comprises a plurality of detection modules for detecting and analyzing samples in the test tube, and the samples in the test tube are detected through the detection modules in the main system control functional system according to the test tube identified by the test tube identification system.
Preferably, a code scanning algorithm is configured in the control module, and a bar code is attached to the test tube.
Preferably, the test tubes comprise a tube body and a test tube cap, wherein different types of test tubes are provided with test tube caps of different colors.
The invention also provides an analysis system, which comprises the fluorescence analyzer and an information system, wherein the information system is internally provided with the information of patients, and the main system is in communication connection with the information system;
the test tube identification system identifies the information of the bar code on the test tube so as to adapt the identified information with the information of the corresponding patient in the information system.
The invention also provides a test tube identification method, which is suitable for the fluorescence analyzer and comprises the following steps:
the camera module collects an original picture of the test tube and transmits the original picture to the control module;
the control module preprocesses the collected original pictures to convert the original pictures into secondary images;
calculating the picture by using the algorithm of the control module and identifying test tube information;
the control module sends the information of the test tube to the main system through the communication module;
the main system control function system processes the identified test tube;
the algorithm of the control module comprises a bar code identification algorithm, a test tube type identification algorithm, a pretreatment detection algorithm of a sample in the test tube and an output analysis result algorithm which are sequentially executed; the tube type identification algorithm identifies the type of tube by calculating the color of the tube cap.
Preferably, the control module pre-processes the acquired pictures, including: and (4) carrying out binarization negation processing, and converting the original picture into a secondary image through binarization negation.
Preferably, when executing the barcode recognition algorithm, recognizing the barcode through the secondary image and positioning the test tube according to the barcode, and cutting the corresponding module on the original picture according to the position of the test tube positioned on the secondary image after positioning the test tube.
Preferably, HSV modeling is carried out on the modules cut out from the original picture to determine the color and the position of the test tube cap, then the bottom of the tube body is positioned, and the length of the test tube is calculated according to the relative position of the test tube cap and the bottom so as to analyze the milliliter number of the test tube.
Preferably, the positioning of the bottom of the tube body comprises prejudging according to the positions of the test tube cap and the bar code or arc positioning of the bottom or color judgment of the bottom.
Preferably, the in-vitro sample pretreatment detection algorithm comprises an algorithm for judging the existence of bubbles and clots in the in-vitro sample; the control module is internally provided with a normal template in which a sample is stored, and the converted data is compared with the normal template by carrying out binarization threshold conversion on a module cut out from an original picture.
Compared with the prior art, the invention has the beneficial effects that:
according to the fluorescence analyzer, the fluorescence analysis system and the test tube identification method, the test tube information is automatically acquired through an image identification technology, a full-automatic sample loading process is realized according to the test tube information, the sample loading efficiency of the instrument is improved, and meanwhile, the sample loading error rate is reduced; on the other hand, the sample is detected through an image recognition technology, and is preprocessed according to the detection condition, so that the sampling and reaction accuracy is ensured, and the accuracy of the detection result is ensured.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
[ description of the drawings ]
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention and do not constitute a limitation of the invention. In the drawings:
FIG. 1 is a simplified diagram of a fluorescence analyzer in one embodiment of the present invention;
FIG. 2 is a schematic flow chart of a fluorescence analyzer according to an embodiment of the present invention;
FIG. 3 is a schematic flow chart of an analysis system in accordance with one embodiment of the present invention;
FIG. 4 is a flow chart illustrating an algorithm within the control module according to one embodiment of the present invention.
[ detailed description ] A
The foregoing and other objects, features, aspects and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, which will enable those skilled in the art to practice the present invention with reference to the accompanying specification. In the drawings, the shape and size may be exaggerated for clarity, and the same reference numerals will be used throughout the drawings to designate the same or similar components. In the following description, terms such as center, width, thickness, height, length, front, back, rear, left, right, top, bottom, upper, lower, and the like are used based on the orientation or positional relationship shown in the drawings. In particular, "height" corresponds to the dimension from top to bottom, "width" corresponds to the dimension from left to right, and "depth" corresponds to the dimension from front to back. These relative terms are for convenience of description and are not generally intended to require a particular orientation. Terms concerning attachments, coupling and the like (e.g., "connected" and "attached") refer to a relationship wherein structures are secured or attached, either directly or indirectly, to one another through intervening structures, as well as both movable or rigid attachments or relationships, unless expressly described otherwise.
The present invention will be further described with reference to the accompanying drawings and the detailed description, and it should be noted that any combination of the embodiments or technical features described below can be used to form a new embodiment without conflict. It will be understood that terms such as "having," "including," and "comprising," as used herein, do not preclude the presence or addition of one or more other elements or groups thereof.
As shown in fig. 1, the present invention relates to a fluorescence analyzer comprising: the test tube identification system is internally provided with a communication module and an identification module, and detects the test tube 4 led into the fluorescence analyzer through the identification module so as to identify information on the test tube 4; the main system is used for connecting the test tube identification system with the main system in a communication way through a communication module; the functional system is electrically connected with the main system, and a plurality of detection processes of different types are arranged in the functional system; the main system is used as a control center of the fluorescence analyzer, and performs adaptive detection procedures on samples in different test tubes 4 according to the identified information of the test tubes 4, so that personalized detection procedures can be formulated for different patients, and the requirements of different patients can be met.
The test tube identification system also comprises a control module; in the scheme, the identification module is a camera module which is used for collecting pictures led into the test tube 4 in the fluorescence analyzer; the control module is electrically connected with the camera module, the pictures collected by the camera module are sent to the control module, an algorithm for identifying the test tube 4 is configured in the control module, and the pictures collected by the camera module are calculated through the algorithm to further identify the information of the test tube 4;
the functional system comprises a plurality of detection modules for detecting and analyzing samples in the test tubes 4, each detection module executes a single detection procedure, and the samples in the test tubes 4 are detected by the detection modules in the main system control functional system according to the test tubes 4 identified by the test tube identification system; the fluorescence analyzer realizes automatic detection level, improves detection efficiency, reduces working intensity of users under a large amount of test works, and optimizes experience of the users for operating the fluorescence analyzer.
Further, a bar code is attached to the test tube 4, specifically, the bar code is attached to the outer wall of the test tube 4, a code scanning algorithm is configured in the control module, and the bar code information is identified through the code scanning algorithm to obtain specific patient information; on the other hand, the barcode is attached to the fixed position of the test tube 4, and the position of the whole test tube 4 is located by locating the position of the barcode, so as to facilitate subsequent accurate detection.
As shown in fig. 2, a test tube identification method is applied to the fluorescence analyzer, and includes the following steps:
the original picture of the test tube 4 collected by the camera module is transmitted to the control module;
the control module preprocesses the collected original pictures to convert the original pictures into secondary images;
the algorithm of the control module calculates the picture and identifies the information of the test tube 4;
the control module sends the information of the test tube 4 to the main system through the communication module;
the main system control function system processes the identified test tube 4;
as shown in fig. 4, the algorithm of the control module includes a barcode recognition algorithm, a test tube type recognition algorithm, a pretreatment detection algorithm of a sample in a test tube, and an output analysis result algorithm, which are executed in sequence;
the control module is used for preprocessing the collected pictures and comprises the following steps: binarization negation processing is carried out, an original picture is converted into a secondary image through binarization negation, after the original picture is subjected to black and white processing, the black and white picture is negated to obtain the secondary image, the secondary image obtained after binarization negation is represented as a bar code on the image, the outline characteristics of the test tube 4 are clearer, so that the outline of the test tube 4 can be conveniently captured, the bar code can be conveniently identified, the interference caused by the image background to the identification of the target of the test tube 4 is avoided, meanwhile, the influence on detection caused by the difference of light rays to imaging can be reduced due to the binarization negation processing, and the success rate of the identification of the test tube 4 is improved.
When executing the bar code recognition algorithm, the bar code is recognized through a secondary image and the test tube 4 is positioned according to the bar code, the bar code is positioned at the fixed position of the test tube 4, and the position of the test tube can be positioned after the bar code is recognized.
Further, the test tube 4 comprises a tube body 42 and a test tube cap 41, one end of the tube body 42 is open, the other end is a bottom 43, and the test tube cap 41 covers the open of the tube body 42 to seal the sample in the test tube 4; wherein, the test tube caps 41 with different colors are configured on the test tubes 4 with different types, a color distinguishing algorithm serving as a test tube type identification algorithm is further configured in the control module, and the test tube type identification algorithm identifies the types of the test tubes 4 by calculating the colors of the test tube caps 41.
After the control module obtains the secondary image and finishes the bar code identification and positioning, cutting a corresponding module on the original image according to the position of the positioning test tube 4 on the secondary image after the positioning test tube 4, and preferably cutting the part corresponding to the test tube cap 41;
then, performing HSV modeling on the module cut out from the original picture to determine the color and the position of the test tube cap 41, and judging the type of the test tube 4 according to the color of the test tube cap 41 so as to pre-judge the shape of the whole test tube 4; the color of the test tube cap 41 is judged in a module cutting mode, useless information can be reduced, the calculation amount is simplified, the calculation load of the control module is reduced, the recognition speed is increased, and the detection efficiency is improved.
The bottom 43 of the tube 42 is then positioned and the length of the tube 4 is calculated from the position of the cap 41 relative to the bottom 43 to analyze the milliliters in the tube 4.
The positioning of the bottom 43 of the tube 42 can be determined according to the pre-determination of the positions of the test tube cap 41 and the bar code, or the arc positioning of the bottom 43 or the color determination of the bottom 43, one end of the bottom 43 of the tube 42 is arc-shaped, and the position of the bottom 43 can be determined by capturing the position of the lowest point in the vertical direction of the bottom 43.
Furthermore, the pretreatment detection algorithm of the sample in the test tube comprises an algorithm for judging the existence of bubbles and clots in the sample in the test tube; a normal template of a sample is stored in the control module, and the converted data is compared with the normal template by performing binarization threshold conversion on a module cut out from an original picture; the pretreatment of sample easily leads to appearing bubble, clot in the sample when improper to cause the sample volume unusual and react unusually, finally lead to the testing result analysis mistake, in order to avoid sending into this fluorescence analysis appearance with unusual sample and detect, carry out the in-process of discerning at test tube identification system to test tube 4, carry out simple judgement to the sample simultaneously in order to avoid detecting whether there are bubble and clot etc. in the sample, and carry out the pretreatment to the sample according to the testing condition, guarantee the accuracy of sample and reaction, thereby guarantee the accuracy of testing result.
Specifically, the bubbles and clots in the sample are different from the normal sample, in this scheme, the sample is blood, different parts in the sample blood can be analyzed through specific color characteristics when the bubbles and clots exist in the blood, the sample is compared with the normal template, and the different parts in the sample blood are determined again.
In a preferred embodiment, an analytical system is based on the fluorescence analyzer; further comprising: the information system is internally provided with the information of the patient, and the main system in the fluorescence analyzer is in communication connection with the information system, so that the information of the fluorescence analyzer is interacted with the information of the information system and matched with the information system at the same time;
the test tube identification System identifies the Information of the bar code on the test tube 4 so as to adapt the identified Information with the Information of the corresponding patient in the Information System, in the scheme, the Information System comprises an LIS (Laboratory Information Management System), which is a set of Laboratory Information Management System specially designed for the clinical Laboratory of the hospital, and can form a network by using experimental instruments and computers, so that the complicated operation processes of patient sample login, experimental data access, report auditing, printing distribution, experimental data statistical analysis and the like are realized by intelligent, automatic and standardized Management. The system is beneficial to improving the overall management level of a laboratory, reducing loopholes and improving the inspection quality, and not only is the detailed information of a patient recorded in the LIS, but also the detection items required by the patient are recorded;
the LIS workflow: generating a test bar code label of a corresponding patient through a test application proposed by an outpatient doctor and an inpatient workstation, and corresponding basic information of the patient to a test instrument while generating a test sheet; after the inspection instrument generates a result, the system automatically correlates the inspection data to patient information via the data interface and result approval based on the corresponding relationship. It can realize electronic inspection information and automatic inspection information management.
Preferably, as shown in fig. 3, a test tube identification method suitable for the analysis system comprises the following steps:
the original picture of the test tube 4 collected by the camera module is transmitted to the control module;
the control module preprocesses the collected original pictures to convert the original pictures into secondary images;
the algorithm of the control module calculates the picture and identifies the information of the test tube 4;
the control module sends the information of the test tube 4 to the main system through the communication module;
the host system inquires the LIS to acquire the detailed information of the patient and matches the test tube 4 information with the detailed information of the patient;
and automatically completing sample loading configuration, and processing the identified test tube 4 by the main system control function system according to the detection procedure in the patient information matching function system.
The control module is used for preprocessing the collected pictures and comprises the following steps: performing binarization negation processing, namely converting an original picture into a secondary image through binarization negation, performing black and white processing on the original picture, then negating the black and white picture to obtain a secondary image, positioning a bar code and identifying the bar code; positioning the test tube 4 after the bar code is positioned, cutting the test tube 4 on the original picture according to the test tube 4 on the secondary image, performing HSV modeling on the outline of the test tube 4 cut on the original picture to determine the color and the position of the test tube cap 41, and judging the type of the test tube 4 according to the color of the test tube cap 41 so as to pre-judge the shape of the whole test tube 4; calculate test tube 4 length through test tube cap 41 and bottom 43 with the milliliter number of analysis test tube 4, detect the sample in the body 42, through carrying out binaryzation threshold value conversion to the body 42 part of original picture to whether there are bubble and clot in the detection sample, thereby guarantee the accuracy of follow-up detection.
The algorithm of the control module comprises a bar code identification algorithm, a test tube type identification algorithm, a pretreatment detection algorithm of a sample in a test tube and an analysis result output algorithm which are sequentially executed, wherein the bar code identification algorithm identifies a bar code, preferably, the bar code is a string of numbers or character strings, the number string or character string analyzed by the bar code is used for inquiring the detailed information of a patient in the LIS to be matched with the information analyzed by the bar code, and the information is converted into the information of the patient and the item to be detected, which is required by the fluorescence analyzer;
through analysis test tube image, the accurate bar code information that obtains on the test tube, the range limits the colour interval of test tube cap and refers to the length interval that the contrast obtained the test tube to obtain the specific pretreatment data of user information, test tube classification and sample quality, make things convenient for follow-up accurate test of carrying out the looks adaptation to different test tubes 4.
It should be understood that the above-described embodiments are only illustrative of portions of the present application and are not intended to limit the scope of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the system embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and reference may be made to the partial description of the method embodiment for relevant points.
Claims (10)
1. A fluorescence analyzer, comprising:
the test tube identification system is internally provided with a communication module;
the test tube identification system comprises a main system and a functional system, wherein the main system is used for connecting the test tube identification system with the main system in a communication way through the communication module, and the functional system is used for being electrically connected with the main system;
the test tube identification system further comprises a control module and a camera module, wherein the camera module is used for collecting pictures led into the test tube (4) in the fluorescence analyzer;
the control module is electrically connected with the camera module, an algorithm for identifying the test tube (4) is configured in the control module, and the image acquired by the camera module is calculated through the algorithm to identify the information of the test tube (4);
the functional system comprises a plurality of detection modules for detecting and analyzing samples in test tubes (4), and the main system controls the detection modules in the functional system to detect the samples in the test tubes (4) according to the test tubes (4) identified by the test tube identification system.
2. The fluorescence analyzer of claim 1, wherein said control module is configured with a code-scanning algorithm, and a bar code is attached to the cuvette (4).
3. A fluorescence analyser according to claim 3, wherein the cuvette (4) comprises a tube body (42) and a cuvette cap (41), wherein different types of cuvettes (4) are provided with differently coloured cuvette caps (41).
4. An analysis system comprising the fluorescence analyzer of claim 3 and an information system having patient information embedded therein, said host system being disposed in communication with said information system;
the test tube identification system identifies the information of the bar code on the test tube (4) so as to adapt the identified information with the information of the corresponding patient in the information system.
5. A test tube identification method applied to the fluorescence analyzer according to any one of claims 1 to 3, comprising the steps of:
the original picture of the test tube (4) collected by the camera module is transmitted to the control module;
the control module preprocesses the collected original pictures to convert the original pictures into secondary images;
the algorithm of the control module calculates the picture and identifies the information of the test tube (4);
the control module sends the information of the test tube (4) to the main system through the communication module;
the main system control function system processes the identified test tube (4);
the algorithm of the control module comprises a bar code identification algorithm, a test tube type identification algorithm, a pretreatment detection algorithm of a sample in the test tube and an output analysis result algorithm which are sequentially executed; the test tube type identification algorithm identifies the type of test tube (4) by calculating the color of the test tube cap (41).
6. A test tube identification method as claimed in claim 5, characterized in that the control of the pre-processing of the acquired pictures comprises: and (4) carrying out binarization negation processing, and converting the original picture into a secondary image through binarization negation.
7. Test tube identification method according to claim 6, characterized in that in performing the barcode identification algorithm, the barcode is identified by means of the secondary image and the test tube (4) is positioned according to the barcode, after positioning the test tube (4) the corresponding module is cut on the original image according to the position on the secondary image where the test tube (4) is positioned.
8. Test tube identification method according to claim 7, characterized in that HSV modeling of the cut out modules on the original picture determines the colour and position of the test tube cap (41), after which the bottom (43) of the tube body (42) is positioned and the length of the test tube (4) is calculated from the relative position of the test tube cap (41) position and the bottom (43) to analyze the number of millilitres of test tube (4).
9. The test tube identification method according to claim 8, wherein the positioning of the bottom (43) of the tube body (42) comprises a prediction of the position of the test tube cap (41) and the barcode or an arc positioning of the bottom (43) or a color determination of the bottom (43).
10. The test tube identification method of claim 8, wherein the pre-processing detection algorithm of the sample in the test tube comprises an algorithm for judging the presence of bubbles and clots in the sample in the test tube; the control module is internally provided with a normal template in which a sample is stored, and the converted data is compared with the normal template by carrying out binarization threshold conversion on a module cut out from an original picture.
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