CN112285339B - Marking method for fluorescent immunochromatography visual detection - Google Patents
Marking method for fluorescent immunochromatography visual detection Download PDFInfo
- Publication number
- CN112285339B CN112285339B CN202011024001.1A CN202011024001A CN112285339B CN 112285339 B CN112285339 B CN 112285339B CN 202011024001 A CN202011024001 A CN 202011024001A CN 112285339 B CN112285339 B CN 112285339B
- Authority
- CN
- China
- Prior art keywords
- image
- magneto
- detection system
- optical
- rapid detection
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 32
- 238000003317 immunochromatography Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 title claims abstract description 11
- 230000000007 visual effect Effects 0.000 title claims abstract description 9
- 230000007547 defect Effects 0.000 claims abstract description 17
- 238000012634 optical imaging Methods 0.000 claims abstract description 8
- 238000004380 ashing Methods 0.000 claims abstract description 4
- 230000002950 deficient Effects 0.000 claims description 3
- 238000009826 distribution Methods 0.000 abstract description 3
- 238000013139 quantization Methods 0.000 abstract description 2
- 230000009286 beneficial effect Effects 0.000 abstract 1
- 239000000427 antigen Substances 0.000 description 3
- 102000036639 antigens Human genes 0.000 description 3
- 108091007433 antigens Proteins 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000003908 quality control method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000005526 G1 to G0 transition Effects 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 230000000890 antigenic effect Effects 0.000 description 1
- 244000052616 bacterial pathogen Species 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 239000011248 coating agent Substances 0.000 description 1
- 238000000576 coating method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 239000007850 fluorescent dye Substances 0.000 description 1
- 238000001215 fluorescent labelling Methods 0.000 description 1
- 230000008105 immune reaction Effects 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Immunology (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- Hematology (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Urology & Nephrology (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Biomedical Technology (AREA)
- Cell Biology (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Biotechnology (AREA)
- Microbiology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention relates to a fluorescence immunochromatography visual detection marking method, which comprises a rapid detection system and an automatic marking system, wherein the input end of the rapid detection system is respectively connected with an image collector and the automatic marking system, the automatic marking system is provided with a data sensor connected with a central processing unit, the rapid detection system comprises a locator and a magneto-optical imaging device, and S1: the magneto-optical imaging device acquires a magneto-optical image of the object, and performs ashing treatment to obtain a magneto-optical gray scale image, S2: decomposing the magneto-optical gray scale map into single images, selecting the images at intervals, and then performing the following processing, S3: and carrying out view projection on the image, and judging whether the image has dirt and shake defects according to a projection curve. The beneficial effects are that: the detection system can accurately identify various defects such as narrow lines, short lines, halation, dirt, shake and the like, record defect images, automatically generate full-period comprehensive yield, and accurately analyze quantization indexes and time distribution of different types of defects.
Description
Technical Field
The invention relates to the technical field of fluorescent immunochromatography detection marking systems, in particular to a marking method for fluorescent immunochromatography visual detection.
Background
Fluorescent immunochromatography is a novel membrane detection technology based on antigen-antibody specific immune reaction. The technology uses strip fiber chromatographic materials fixed with detection lines (coated antibodies or coated antigens) and quality control lines (anti-antibodies) as stationary phases, test liquid as mobile phases, fluorescent labeled antibodies or antigens are fixed on a connecting pad, and analytes are enabled to move on chromatographic strips through capillary action. For macromolecular antigens (proteins, viruses, pathogenic bacteria and the like) with a plurality of antigenic determinants, a sandwich type double-antibody sandwich immunochromatography method is generally adopted, namely an object to be detected is firstly combined with a fluorescent labeling antibody under the action of a mobile phase, and then is combined with a coating antibody to form a sandwich type double-antibody sandwich when reaching a detection line, and the streak quality of the fluorescent immunochromatography detection reagent strip is an important guarantee for the detection reliability. Traditional marking quality detection needs to be achieved through manual visual and manual marking, and is low in precision and difficult to achieve whole-course controllability.
Disclosure of Invention
The invention aims to provide a fluorescence immunochromatography visual detection marking method for accurately analyzing quantitative indexes and time distribution of different types of defects and meeting the quality control requirement of a production line with high standards, which is realized by the following scheme.
In order to achieve the above purpose, the invention adopts the following technical scheme: the fluorescence immunochromatography visual detection marking method is characterized by comprising a rapid detection system and an automatic marking system, wherein the input end of the rapid detection system is respectively connected with an image collector and the automatic marking system, and the automatic marking system is provided with a data sensor connected with a central processing unit;
the rapid detection system comprises a positioner and a magneto-optical imaging device;
s1: the magneto-optical imaging device acquires a magneto-optical image of the object, and performs ashing treatment to obtain a magneto-optical gray scale image;
s2: decomposing the magneto-optical gray scale map into single images, selecting the images at intervals, and then performing the following treatment;
s3: performing view projection on the image, judging whether the image has dirt and shake defects according to a projection curve, and intercepting the defective projection image if the image has related defects;
the automatic marking system comprises an image detector connected with the projection image, the image detector is arranged in a forward direction, inverse binarization is carried out according to the searching high-low threshold value, and then the target value mark is judged.
Further, the image collector comprises a video display and an automatic focusing device which are connected with the rapid detection system.
Further, according to the forward arrangement of the view angle projections, the image is divided into a left part, a right part, an upper part and a lower part, the peak values of the two parts are recorded respectively, the higher peak value is set as a high threshold value, the lower peak value is set as a low threshold value, and the two parts are marked with target positioning values.
The invention has the technical effects that: the system for quickly detecting and automatically marking the chromatographic scribing defects can detect the scribing width in real time with high precision, automatically mark the defect positions, is suitable for carrying out full-process accurate control on the product quality, improves the production efficiency and the product quality, can accurately identify various defects such as narrow lines, short lines, halation, dirt, shaking and the like, records defect images, automatically generates full-period comprehensive yields, accurately analyzes quantization indexes and time distribution of different types of defects, meets the quality control requirement of a production line with high standards, has the detection precision of 0.1mm, has the product transmission speed of 60-100mm/s, has the minimum scribing length of 3mm and the shortest OK section length of 6mm, supports pre-marking, automatically generates statistical reports and supports large-capacity external storage and defect tracing.
Detailed Description
The fluorescence immunochromatography visual detection marking method comprises a rapid detection system and an automatic marking system, wherein the input end of the rapid detection system is respectively connected with an image collector and the automatic marking system, and the automatic marking system is provided with a data sensor connected with a central processing unit;
the rapid detection system comprises a positioner and a magneto-optical imaging device;
s1: the magneto-optical imaging device acquires a magneto-optical image of the object, and performs ashing treatment to obtain a magneto-optical gray scale image;
s2: decomposing the magneto-optical gray scale map into single images, selecting the images at intervals, and then performing the following treatment;
s3: performing view projection on the image, judging whether the image has dirt and shake defects according to a projection curve, and intercepting the defective projection image if the image has related defects;
the automatic marking system comprises an image detector connected with the projection image, the image detector is arranged in a forward direction, inverse binarization is carried out according to the searching high-low threshold value, and then the target value mark is judged.
The specific embodiment of the scheme is that the image collector comprises a video screen display and an automatic focusing device, wherein the video screen display and the automatic focusing device are connected with a rapid detection system.
According to the embodiment of the scheme, an image is divided into a left part, a right part, an upper part and a lower part according to the forward arrangement of the view angle projection, the peak values of the two parts are recorded respectively, the higher peak value is set as a high threshold value, the lower peak value is set as a low threshold value, and the two parts are marked with target positioning values.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the invention, which is defined by the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (2)
1. The fluorescence immunochromatography visual detection marking method is characterized by comprising a rapid detection system and an automatic marking system, wherein the input end of the rapid detection system is respectively connected with an image collector and the automatic marking system, and the automatic marking system is provided with a data sensor connected with a central processing unit;
the rapid detection system comprises a positioner and a magneto-optical imaging device;
s1: the magneto-optical imaging device acquires a magneto-optical image of the object, and performs ashing treatment to obtain a magneto-optical gray scale image;
s2: decomposing the magneto-optical gray scale map into single images, selecting the images at intervals, and then performing the following treatment;
s3: performing view projection on the image, judging whether the image has dirt and shake defects according to a projection curve, and intercepting the defective projection image if the image has related defects;
the automatic marking system comprises an image detector connected with the projection image, wherein the image detector is arranged in a forward direction, performs inverse binarization according to a searching high-low threshold value, and then judges the position of the target value mark;
dividing an image into a left part, a right part, an upper part and a lower part according to the forward arrangement of the view angle projection, respectively recording the peak values of the two parts, setting a higher peak value as a high threshold value, setting a lower peak value as a low threshold value, and marking the two parts with target positioning values.
2. The method of claim 1, wherein the image acquisition device comprises a video display and an autofocus device coupled to the rapid detection system.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011024001.1A CN112285339B (en) | 2020-09-25 | 2020-09-25 | Marking method for fluorescent immunochromatography visual detection |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011024001.1A CN112285339B (en) | 2020-09-25 | 2020-09-25 | Marking method for fluorescent immunochromatography visual detection |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112285339A CN112285339A (en) | 2021-01-29 |
CN112285339B true CN112285339B (en) | 2024-02-06 |
Family
ID=74421263
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011024001.1A Active CN112285339B (en) | 2020-09-25 | 2020-09-25 | Marking method for fluorescent immunochromatography visual detection |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112285339B (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105372324A (en) * | 2015-12-07 | 2016-03-02 | 电子科技大学 | Defect detection method based on magnetooptical imaging |
CN105427324A (en) * | 2015-12-07 | 2016-03-23 | 电子科技大学 | Magneto-optic imaging defect detection method based on automatic search of binary threshold |
WO2016129305A1 (en) * | 2015-02-10 | 2016-08-18 | 浜松ホトニクス株式会社 | Inspection device and inspection method |
CN106600604A (en) * | 2016-11-14 | 2017-04-26 | 电子科技大学 | Threshold optimization method of magneto-optic imaging defect detection method |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9414026B2 (en) * | 2013-01-25 | 2016-08-09 | The Boeing Company | System and method for automated crack inspection and repair |
-
2020
- 2020-09-25 CN CN202011024001.1A patent/CN112285339B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016129305A1 (en) * | 2015-02-10 | 2016-08-18 | 浜松ホトニクス株式会社 | Inspection device and inspection method |
CN105372324A (en) * | 2015-12-07 | 2016-03-02 | 电子科技大学 | Defect detection method based on magnetooptical imaging |
CN105427324A (en) * | 2015-12-07 | 2016-03-23 | 电子科技大学 | Magneto-optic imaging defect detection method based on automatic search of binary threshold |
CN106600604A (en) * | 2016-11-14 | 2017-04-26 | 电子科技大学 | Threshold optimization method of magneto-optic imaging defect detection method |
Also Published As
Publication number | Publication date |
---|---|
CN112285339A (en) | 2021-01-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108956645A (en) | A kind of the optical mirror slip defect detecting device and method of more vision systems | |
CN204462172U (en) | A kind of full-automatic high flux multicolor fluorescence immunochromatography chip analysis system | |
CN105025290B (en) | A kind of inclined method between adjust automatically camera module sensor and camera lens | |
CN103901189B (en) | Immune detection micro-fluidic chip fluorescent quantitation automatic detection device | |
CN113758932B (en) | Deep learning-based visual detection method for defects of lithium battery diaphragm | |
CN100370306C (en) | High precision light beam coaxiality adjusting method | |
EP0973023A1 (en) | High throughput surface plasmon resonance analysis system | |
JP2011252804A (en) | Analysis method and analyzer of biological sample | |
CN105190690A (en) | Image quality assessment of microscopy images | |
KR102005621B1 (en) | Immunochromatography rapid diagnostic kit and method of detection using the same | |
CN104977278A (en) | Quantitative analyzing and detecting system based on multispectral fluorescence immunochromatography | |
CN111079831A (en) | Intelligent optical detection sample characteristic and flaw automatic marking method and device | |
CN112285339B (en) | Marking method for fluorescent immunochromatography visual detection | |
CN103383240A (en) | Machine vision two-dimension detecting platform device | |
CN102507565A (en) | Method for searching reaction color development area of immunochromatographic strip | |
CN100575927C (en) | Resonance imager of light-exciting color surface piasma | |
CN113624458A (en) | Film uniformity detection system based on double-path all-projection light | |
JPH08210961A (en) | Method and device for analyzing flow type particle image | |
CN113191362A (en) | Transformer equipment oil leakage defect detection device and method | |
CN105510612A (en) | Full-automatic blood sample transferring, quality supervising and selecting instrument | |
CN107525926B (en) | Immunochromatography detection method and detection system | |
CN202057610U (en) | Wheat flour processing precision detecting device | |
CN216900570U (en) | Multichannel immunochromatography reagent card | |
CN114324080B (en) | Device for online detection of morphology and particle size distribution of energetic material particles | |
CN215865741U (en) | Film uniformity detection system based on optical diffraction |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |