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WO2012142806A1 - Procédé et dispositif d'immunodétection quantitative d'or sur la base d'une acquisition d'image ccd intégrée - Google Patents

Procédé et dispositif d'immunodétection quantitative d'or sur la base d'une acquisition d'image ccd intégrée Download PDF

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Publication number
WO2012142806A1
WO2012142806A1 PCT/CN2011/078674 CN2011078674W WO2012142806A1 WO 2012142806 A1 WO2012142806 A1 WO 2012142806A1 CN 2011078674 W CN2011078674 W CN 2011078674W WO 2012142806 A1 WO2012142806 A1 WO 2012142806A1
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WO
WIPO (PCT)
Prior art keywords
ccd image
image acquisition
embedded
gold
test strip
Prior art date
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Ceased
Application number
PCT/CN2011/078674
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English (en)
Chinese (zh)
Inventor
杜民
姜海燕
李玉榕
曾念寅
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Fuzhou University
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Fuzhou University
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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
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/8483—Investigating reagent band

Definitions

  • the invention relates to the technical field of quantitative detection of gold immunoassay strips, in particular to a gold immunological quantitative detection method and device based on embedded CCD image acquisition. Background technique
  • GICA Gold Immunochromatographic Assay
  • Tumor marker series such as alpha-fetoprotein (AFP), prostate specific antigen (PSA), carcinoembryonic antigen (CEA), etc.
  • myocardial infarction series such as cardiac troponin I (Tn-1) , cardiac troponin ( ⁇ - ⁇ ), creatine phosphokinase cardiac isoenzyme (CK-MB), etc.
  • drug series such as amphetamine
  • AMP human chorionic gonadotropin
  • LH luteinizing hormone
  • the naked eye is used for interpretation.
  • the color of the test strip is relatively fuzzy, when the noise signal is relatively large, it is easy to misjudge or miss the judgment, causing unnecessary disputes.
  • the clinical application range and efficacy evaluation of the test strips are limited due to the inability to quantify.
  • gold immunochromatography mainly uses photoelectric reflection and image acquisition.
  • the main disadvantages in photoelectric reflection are: (1) Photoelectric reflective optical system is more complicated and the adjustment is more troublesome; (2) Detection of the placement of the test strip Strict requirements.
  • image acquisition gold immunoassay the device is light and easy to adjust, but The pre-image feature quantity selection is mostly analyzed by data algorithm with gray value, and the detection precision is not as good as photoelectric reflection type. Summary of the invention
  • the object of the present invention is to overcome the deficiencies of the prior art, and provide a gold immunological quantitative detection method and device based on embedded CCD image acquisition, and the method and the device are not only beneficial for improving the detection precision of the gold immunoassay strip concentration quantitative detection, Easy to operate, good results.
  • a method for quantitatively detecting gold immunoassay based on embedded CCD image acquisition comprising: the following steps:
  • the CCD image acquisition device extracts CCD image information of the test strip, and transmits the CCD image information to a digital signal processing unit;
  • the CCD image sensor is driven by a programmable array unit.
  • the digital signal processing unit performs feature extraction on the CCD image information: establishing a color histogram and performing color feature extraction to obtain a feature vector 1; establishing a chromaticity space model, and using the chromaticity space formula to describe the test a chromaticity curve of the strip, calculating a mean value of the chrominance curve detection area and the background area as the feature vector 2;
  • the embedded microprocessor performs preliminary classification on the extracted characteristic parameters, and initially determines whether the detection is valid, and if it fails, prompts the detection to be invalid and re-detects;
  • the embedded microprocessor uses the characteristic parameter as an input end of a machine learning algorithm fitting model of the digital signal processing unit, and uses a machine learning algorithm to fit the concentration model, and calculates an output concentration value and a related quantitative analysis result.
  • the invention also provides a gold immunometric detection device based on embedded CCD image acquisition, which comprises: a CCD image acquisition device, an embedded microprocessor and a digital signal processing unit connected to the embedded microprocessor, The programmable array unit, the photoelectric sensing and LED brightness adjusting device, the timer, the storage unit and the user interface unit; the gold immunometric detecting device drives the CCD image sensor by using a programmable array unit.
  • the invention has the beneficial effects that the digital image of the gold immunoassay strip is collected by the CCD image acquisition device, and the characteristic parameters of the image are extracted by the dual CPU mode of the embedded ARM microprocessor and the digital signal processing unit.
  • the machine learning algorithm is used to realize the quantitative detection of the target analyte concentration.
  • the statistical color model and the chromaticity space model are used to select the feature vector to more accurately express the spectral information of the test strip image, thereby improving the spectral information.
  • the fitting accuracy of the machine learning algorithm improves the detection accuracy of quantitative detection of gold immunoassay strips.
  • 1 is a flow chart showing the operation of the method of the embodiment of the present invention.
  • FIG. 2 is a schematic structural view of an apparatus according to an embodiment of the present invention.
  • Fig. 3 is a view showing the result of the CCD image pickup device of the embodiment of the present invention. detailed description
  • the invention is based on the gold immunological quantitative detection method of embedded CCD image acquisition, as shown in Fig. 1, comprising the following steps:
  • the CCD image acquisition device extracts CCD image information of the test strip, and transmits the CCD image information to a digital signal processing unit;
  • the CCD image sensor is driven by a programmable array unit.
  • the digital signal processing unit performs feature extraction on the CCD image information: establishing a color histogram and performing color feature extraction to obtain a feature vector 1; establishing a chromaticity space model, and using the chromaticity space formula to describe the test a chromaticity curve of the strip, calculating a mean value of the chrominance curve detection area and the background area as the feature vector 2;
  • the embedded microprocessor performs preliminary classification on the extracted characteristic parameters, and initially determines whether the detection is valid, and if it fails, prompts the detection to be invalid and re-detects;
  • the embedded microprocessor uses the characteristic parameter as an input end of a machine learning algorithm fitting model of the digital signal processing unit, and uses a machine learning algorithm to fit the concentration model, and calculates an output concentration value and a related quantitative analysis result.
  • the embedded microprocessor will also calculate the concentration value, chromaticity curve
  • the line is displayed on the LCD screen, and the control LED is lit, indicating that the test has been completed, asking if the result needs to be printed. If you need to print, use a micro printer to print the results.
  • the original sample is effectively described by extracting a feature vector with a relatively low dimensionality for input of a machine learning algorithm model.
  • the CCD image acquisition device takes CCD technology as the core and directly senses the three components of color G and B, which makes the three primary color model play an important role.
  • the gray value of the pixel is often used.
  • the color space of the test area is determined by the light absorption and reflection characteristics of the enriched nano gold particles, and within a certain concentration range, and the amount of the enriched nano gold particles (ie antigen or antibody concentration) is proportional.
  • the present invention adopts two model spaces, a statistical color model and a chrominance-like space model, when selecting a feature vector.
  • the invention relates to a gold immunological quantitative detecting device based on embedded CCD image acquisition, as shown in FIG. 2, comprising a CCD image capturing device 1, an embedded microprocessor 2 and a digital signal processing unit 3 connected to the embedded microprocessor 2
  • the CCD image sensor in the gold immunoassay device is driven by a programmable array unit 6.
  • the embedded microprocessor 2 is an embedded ARM microprocessor.
  • the A-microprocessor is used as the information processing platform to form the dual-CPU mode of the embedded ARM microprocessor and digital signal processing unit.
  • the main CPU is an ARM microprocessor, which is used for management scheduling such as keyboard control, LCD liquid crystal display, and network communication.
  • the CPU is a digital signal processing unit, which is specially used to complete complex image feature extraction and multi-variable nonlinear model fitting algorithms.
  • the CCD image capturing device 1 includes a light shielding black box 16, a test strip placement seat 14, a CCD mounting bracket 15, and a CCD camera 11, a CCD lens 12, and an LED array light source 13 provided on the CCD mounting bracket 15. composition.
  • the above photoelectric sensing and LED brightness adjusting device 7 is composed of a photoelectric sensing device and an LED brightness adjusting device group
  • the photo-sensing device is configured to detect whether the CCD image capturing device has been placed in a sampled test strip, and the LED brightness adjusting device is configured to adjust the brightness of the LED array light source.
  • the optimal response time set by the device controls the digital image acquisition time of the test strip.
  • the above storage unit 5 includes FLASH and SDRAM.
  • the above user interface unit 4 includes an LCD liquid crystal screen, a micro printer, and an LED indicator, a communication interface, a keyboard, and the like.
  • the LCD screen is used to display the results of the inspection and to depict the brilliance curve.
  • Micro printers are used to print density values and related information.
  • the LED indicator is used to indicate the completion of the test or other prompt information.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Investigating Or Analysing Materials By The Use Of Chemical Reactions (AREA)

Abstract

La présente invention concerne un procédé et un dispositif d'immunodétection quantitative d'or sur la base d'une acquisition d'image CCD intégrée. Le procédé comprend les étapes suivantes : 1) placer une bande de test dans un dispositif d'acquisition d'image CCD, et déclencher un décompteur afin de décompter le temps lorsqu'il a été détecté que la bande de test a été placée ; 2) lorsque le temps de décomptage est écoulé, extraire des informations d'image CCD de la bande de test et transmettre les informations à une unité de traitement de signal numérique ; 3) effectuer un prétraitement de débruitage ; 4) extraire un vecteur caractéristique de couleur 1 d'un histogramme de couleur et un vecteur caractéristique 2 d'un modèle de type espace de chromaticité ; 5) déterminer préalablement si la détection est valide ; et 6) utiliser les vecteurs caractéristiques comme extrémité d'entrée d'un modèle d'algorithme d'adaptation d'apprentissage automatique, utiliser un algorithme d'apprentissage automatique pour adapter un modèle de concentration, et calculer et fournir en sortie un résultat d'analyse quantitative correspondant. Le dispositif comprend un dispositif d'acquisition d'image CCD, un microprocesseur intégré, une unité de traitement de signal numérique, une unité de réseau programmable, un dispositif de détection photoélectrique et de régulation de luminance de LED, un décompteur, une unité de stockage et une unité d'interface utilisateur.
PCT/CN2011/078674 2011-04-21 2011-08-20 Procédé et dispositif d'immunodétection quantitative d'or sur la base d'une acquisition d'image ccd intégrée Ceased WO2012142806A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201110100916.0 2011-04-21
CN 201110100916 CN102253038B (zh) 2011-04-21 2011-04-21 基于嵌入式ccd图像采集的金免疫定量检测方法及装置

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103076334A (zh) * 2013-01-25 2013-05-01 上海理工大学 一种定量评价数字印刷线条与文本感知质量的方法

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102507565B (zh) * 2011-11-30 2013-10-16 刘江 一种免疫层析试条反应显色区域搜寻方法
CN102692498B (zh) * 2012-06-11 2014-11-12 华中农业大学 磺胺类药物残留检测试剂条自动读码装置及其方法
CN102819691B (zh) * 2012-08-11 2015-03-04 福州大学 免疫层析试条生化反应过程的建模方法
CN103335955B (zh) * 2013-06-19 2015-08-19 华南农业大学 一种水质在线监测方法与装置
CN104142395B (zh) * 2014-08-01 2016-03-23 厦门大学 一种免疫层析试条动态定量测试方法
CN104764879A (zh) * 2015-04-13 2015-07-08 大连理工大学 一种免疫层析反应结果的线阵ccd量化检测装置
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CN107219225A (zh) * 2017-05-26 2017-09-29 无锡中德伯尔生物技术有限公司 一种多通道胶体金读取仪及其检测方法
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CN107677812A (zh) * 2017-09-20 2018-02-09 福州大学 一种基于卷积神经网络的金免疫层析检测方法及装置
CN108046580B (zh) * 2017-12-12 2023-06-30 平湖市华瑞玻璃有限公司 玻璃圆角自动定位切割装置及其方法
CN109060734B (zh) * 2018-06-19 2020-11-24 江苏大学 荧光成像的玉米赤霉烯酮可视化快速筛查系统及方法
CN109030480B (zh) * 2018-08-16 2021-03-19 湖南友哲科技有限公司 样品分析方法、装置、可读存储介质及计算机设备
CN109298172B (zh) * 2018-11-29 2023-11-28 福州大学 基于Scheduler和IP核的免疫层析定量检测系统及方法
CN111521776A (zh) * 2020-04-23 2020-08-11 安徽华培生物科技有限公司 多通道成像定量荧光免疫方法
CN111551731B (zh) * 2020-05-25 2024-02-20 山西瑞豪生物科技有限公司 一种智能化胶体金生物医学检测方法
CN116735587A (zh) * 2023-06-01 2023-09-12 科尼格沃斯(无锡)医学科技有限公司 一种图像采集装置及免疫印迹检测膜条判读仪

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030153023A1 (en) * 1999-05-13 2003-08-14 Starzl Timothy W. Enumeration method of analyte detection
CN1451963A (zh) * 2002-04-17 2003-10-29 福州大学 金标试条定量测试方法及系统
WO2007002580A2 (fr) * 2005-06-23 2007-01-04 Bioveris Corporation Dispositif de detection et procedes associes a ce dispositif
CN101093196A (zh) * 2007-07-25 2007-12-26 中华人民共和国天津出入境检验检疫局 残留物检测胶体金试纸条读数计
CN201429570Y (zh) * 2009-03-31 2010-03-24 东北电力大学 荧光标记免疫试纸条检测器
CN101915832A (zh) * 2010-07-29 2010-12-15 陈晓汀 胶体金和双流向酶联免疫快速检测一体机

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1198134C (zh) * 2003-06-04 2005-04-20 苏向东 胶体金免疫层析定量检测装置及定量检测方法
CN101825640A (zh) * 2010-03-25 2010-09-08 沈鹤柏 一种胶体金免疫层析定性定量两用检测hcg试纸

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030153023A1 (en) * 1999-05-13 2003-08-14 Starzl Timothy W. Enumeration method of analyte detection
CN1451963A (zh) * 2002-04-17 2003-10-29 福州大学 金标试条定量测试方法及系统
WO2007002580A2 (fr) * 2005-06-23 2007-01-04 Bioveris Corporation Dispositif de detection et procedes associes a ce dispositif
CN101093196A (zh) * 2007-07-25 2007-12-26 中华人民共和国天津出入境检验检疫局 残留物检测胶体金试纸条读数计
CN201429570Y (zh) * 2009-03-31 2010-03-24 东北电力大学 荧光标记免疫试纸条检测器
CN101915832A (zh) * 2010-07-29 2010-12-15 陈晓汀 胶体金和双流向酶联免疫快速检测一体机

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
DU, MIN: "Study of Nano-gold Immunochromatographic Quantitative Assay Based on Photoelectric Detection and Signal Processing", CHINA DOCTORAL DISSERTATIONS FULL-TEXT DATABASE (ELECTRONIC JOURNAL), MEDICINE & HYGIENE, November 2005 (2005-11-01), pages 79 - 83 *
LU, FENG ET AL.: "Quantitative Determination Instrument for Colloidal-gold Strips Based on High Gray-resolution Array CCD Image Sensor", INSTRUMENT TECHNIQUE AND SENSOR, May 2008 (2008-05-01), pages 70 - 71 *
WANG, YAN ET AL.: "Design and Research of a Photoelectrical Apparatus for Lateral-Flow Based on CCD", CHINESE JOURNAL OF SENSORS AND ACTUATORS, vol. 21, no. 8, August 2008 (2008-08-01), pages 1370 - 1373 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103076334A (zh) * 2013-01-25 2013-05-01 上海理工大学 一种定量评价数字印刷线条与文本感知质量的方法

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