CN106168578A - Golden immunity-chromatography test strip image detecting method based on MTK platform - Google Patents

Golden immunity-chromatography test strip image detecting method based on MTK platform Download PDF

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CN106168578A
CN106168578A CN201610421154.7A CN201610421154A CN106168578A CN 106168578 A CN106168578 A CN 106168578A CN 201610421154 A CN201610421154 A CN 201610421154A CN 106168578 A CN106168578 A CN 106168578A
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image
test strip
chromatography test
immunity
mtk
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姜海燕
李玉榕
杜民
陈建国
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Fuzhou University
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Fuzhou University
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    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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    • 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
    • G01N33/558—Immunoassay; Biospecific binding assay; Materials therefor using diffusion or migration of antigen or antibody

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Abstract

The present invention relates to a kind of golden immunity-chromatography test strip image detecting method based on MTK platform, comprise the following steps: step S1: set up an image detecting apparatus based on MTK platform, including MTK chip unit, image acquisition units, input-output unit, memory element, GPS positioning unit and communication module；Step S2: image acquisition units includes imageing sensor and LED array light source, brightness by the pulse width control LED array light source of regulation LED impulse waveform, the intensity of illumination of regulation colloidal gold strips, it is thus achieved that uniform hot spot, is gathered the image of colloidal gold strips by imageing sensor；Step S3: imageing sensor gathers the image transmitting of colloidal gold strips and carries out image procossing to MTK chip unit；The gps data that data message and the GPS positioning unit of the golden immunity-chromatography test strip obtained after image procossing obtain is transmitted to data center by step S4:MTK chip unit by described communication module.The method can the most effectively quantitative determine.

Description

Golden immunity-chromatography test strip image detecting method based on MTK platform
Technical field
The present invention relates to gold immunity-chromatography test strip field of image detection, particularly relate to a kind of gold based on MTK platform and exempt from Epidemic disease chromatography strip image detecting method.
Background technology
Gold immunochromatography technique (Gold Immunochromtographic assay, GICA) is immune colloidal gold technique (Immunogold labeling technique) and chromatography (quickly detect skill with nitrocellulose filter as solid phase carrier Art) detection technique that combines.Detectable substance includes various pathogen antigen or the antibody albumen relevant to disease, hormones etc., as Human chorionic gland promoting sexual gland hormone (human chorionic gonadotrophin, HCG), alpha-fetoprotein (alpha Fetoprotein, AFP), hepatitis B surface antigen HAS, prostate specific antigen (PSA), carcinoembryonic antigen (CEA), myocardium calcium protein I (Tn-I), myocardium calcium protein T (Tn-T), metakentrin (LH), creatine phosphokinase heart isozyme (CK-MB), HIV Virus etc..This technology has that detection efficiency is high, simple to operate, immediately obtains a result, pollution-free, stable reagent, be not required to complexity Instrument and equipment, be applicable to the features such as single part mensuration, for on-site measurement such as clinical immunoassay, food safety detection, environment Monitoring, industrial and agricultural production, public safety etc. provide a kind of new, effective method for quick.
At present, gold immunochromatography quantitative study mainly uses based on Photoelectric Detection and detects two kinds based on Image Information Processing Mode.More complicated based on major defect in Photoelectric Detection (1) optical system, the regulation of light path is cumbersome.(3) complexity is needed The machine driven system (3) specification to strip, dimensional requirement is strict.Detection mode based on image procossing have speed fast, Without numerous and diverse mechanical scanning mechanism, the advantage such as volume reducing instrument.Especially (mark at the multichannel having joint inspection meaning more Note) the detection of golden immunity-chromatography test strip, quantitative detecting method based on Image Information Processing has obvious advantage.Based on In the quantitative manner of image procossing, aurosol changes and chromatography reacting antigen due to the spectral quality that quantum size effect causes Antibody specific binding, causes the change of the gold grain distribution being coupling on p-wire, nature controlling line.Gold immunity-chromatography test galley proof The concentration of product is distributed to the gold grain being coupling on p-wire, nature controlling line, colored intensity is relevant, and this is that gold immunity-chromatography test strip is fixed The basis of amount detection.But due to the existence of noise, when concentration is relatively low, the noise signal in strip has often fallen into oblivion useful letter Number, therefore the gold filtering of immunity-chromatography test strip image and the segmentation accuracy of p-wire and nature controlling line are to have influence on detection by quantitative spirit One key issue of sensitivity, accuracy and repeatability.
Summary of the invention
In view of this, it is an object of the invention to provide a kind of golden immunity-chromatography test strip image detection side based on MTK platform Method, it is possible to quickly effectively quantitative determine.
The present invention uses below scheme to realize: a kind of golden immunity-chromatography test strip image detecting method based on MTK platform, bag Include following steps:
Step S1: set up an image detecting apparatus based on MTK platform, described image detecting apparatus includes MTK chip list First and coupled image acquisition units, input-output unit, memory element, GPS positioning unit, communication module；
Step S2: described image acquisition units includes imageing sensor and LED array light source, by regulation LED impulse wave The brightness of the pulse width control LED array light source of shape, the intensity of illumination of regulation colloidal gold strips, it is thus achieved that uniform hot spot, by Described imageing sensor gathers the image of colloidal gold strips；
Step S3: described imageing sensor gathers image transmitting to the described MTK chip unit of colloidal gold strips and carries out figure As processing；
Step S4: the data message of golden immunity-chromatography test strip that described MTK chip unit will obtain after image procossing And the gps data that GPS positioning unit obtains is transmitted to data center by described communication module.
Further, in described step S1, described MTK chip unit includes MTK6582 chip and MT6627 chip, described Imageing sensor is photographic head.
Further, in described step S1, described input-output unit includes that extended keyboard, LCD display and USB connect Mouthful, in order to the concentration value as man-machine interface and showing detection and other information.
Further, in described step S1, described memory element includes FLASH and XRAM, in order to store program and data Information.
Further, MTK chip unit described in described step S3 carries out image procossing and specifically includes following steps:
Step S31: use filtering algorithm that the image of colloidal gold strips carries out pretreatment: by choose specific pixel with The space length parameter of its spatial neighbor pixel, the factor during calculating as filtering, and remove the Gaussian noise of image, green pepper Salt noise and other uncertain noise；
Step S32: the p-wire region of code requirement spectral clustering segmentation colloidal gold strips and nature controlling line region, and Extract the image behavioral characteristics value of colloidal gold strips；
Step S33: according to the dynamic change of gold immunity-chromatography test strip course of reaction, choose particular moment p-wire region and The pixel value in nature controlling line region and the difference of pixel are as the dynamic feature coefficient of gold immunity-chromatography test strip image, to characteristic parameter Data are normalized pretreatment；
Step S34: use particle cluster algorithm Support Vector Machines Optimized strip solubility matching, obtains gold immunity-chromatography test strip Concentration value.
Further, in described step S32, described Normalized Spectral clustering algorithm is particularly as follows: Optimat cut set target letter Number is:
N c u t ( A , B ) = c u t ( A , B ) a s s o c ( A , V ) + c u t ( A , B ) a s s o c ( B , V )
c u t ( A , B ) = Σ u ∈ A , v ∈ B w ( u , v )
Wherein:
w ( u , v ) = Σ i ∈ u , j ∈ v exp - d ( S i - S j ) 2 σ 2
During code requirement spectral clustering, detect line and nature controlling line according on gold immunity-chromatography test strip nitrocellulose filter The region shape feature of upper envelope antigen antibody, (u v), chooses w to choose image connection weight between the column and the column calculating parameter w (u is v) the connection weight sum of pixel between gold immunity-chromatography test strip image u row and v row, passes through in clustering method Specification cut set object function weighs in class the different degree between the similarity degree between sample and class between sample, cuts by solving specification Image is classified by minimizing of object function of collection, thus splits p-wire region and the nature controlling line region of strip image.
Further, described data center carries out area according to data message and the gps data of gold immunity-chromatography test strip Virus and pathogenic bacteria are studied.
Compared with prior art, present invention have the advantage that the present invention golden immunity-chromatography test strip figure based on MTK platform As detection method, read the image of the colloidal gold strips of camera collection by MTK acp chip, filter through non-local mean etc. Ripple algorithm removes noise, the p-wire region of code requirement spectral clustering (Normalized cut, Ncut) segmentation strip With nature controlling line region, and extract the behavioral characteristics value of strip image, the concentration curve of last matching strip.This detection method utilizes The characteristics such as the radio communication that MTK is superior, can transmit in real time by testing result, the most at the scene in detection, can read GPS number According to, and by wireless telecommunications, gps data and detection project result data etc. are sent to data center, carry out virus, pathogenic bacteria etc. Area distribution, the research of Epidemic range.The offers such as the method is food safety detection, environmental monitoring, public safety are a kind of fast The effective in situ quantitation of speed measures means, has certain practicality and economic results in society.
Accompanying drawing explanation
Fig. 1 is the method flow schematic diagram of the present invention.
Fig. 2 is the image detecting apparatus schematic diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawings and embodiment the present invention will be further described.
The present embodiment provides a kind of golden immunity-chromatography test strip image detecting method based on MTK platform, such as Fig. 1 and Fig. 2 institute Show, comprise the following steps:
Step S1: set up an image detecting apparatus based on MTK platform, described image detecting apparatus includes MTK chip list First and coupled image acquisition units, input-output unit, memory element, GPS positioning unit, communication module；
Step S2: described image acquisition units includes imageing sensor and LED array light source, by regulation LED impulse wave The brightness of the pulse width control LED array light source of shape, the intensity of illumination of regulation colloidal gold strips, it is thus achieved that uniform hot spot, by Described imageing sensor gathers the image of colloidal gold strips；
Step S3: described imageing sensor gathers image transmitting to the described MTK chip unit of colloidal gold strips and carries out figure As processing；
Step S4: the data message of golden immunity-chromatography test strip that described MTK chip unit will obtain after image procossing And the gps data that GPS positioning unit obtains is transmitted to data center by described communication module.
In the present embodiment, in described step S1, described MTK chip unit includes MTK6582 chip and MT6627 chip, Described imageing sensor is photographic head.
In the present embodiment, in described step S1, described input-output unit include extended keyboard, LCD display and USB interface, in order to the concentration value as man-machine interface and showing detection and other information.
In the present embodiment, in described step S1, described memory element includes FLASH and XRAM, in order to store program and Data message.
In the present embodiment, MTK chip unit described in described step S3 carries out image procossing and specifically includes following steps:
Step S31: use filtering algorithm that the image of colloidal gold strips carries out pretreatment: by choose specific pixel with The space length parameter of its spatial neighbor pixel, the factor during calculating as filtering, and remove the Gaussian noise of image, green pepper Salt noise and other uncertain noise；
Step S32: the p-wire region of code requirement spectral clustering segmentation colloidal gold strips and nature controlling line region, and Extract the image behavioral characteristics value of colloidal gold strips；
Step S33: according to the dynamic change of gold immunity-chromatography test strip course of reaction, choose particular moment p-wire region and The pixel value in nature controlling line region and the difference of pixel are as the dynamic feature coefficient of gold immunity-chromatography test strip image, to characteristic parameter Data are normalized pretreatment；
Step S34: use particle cluster algorithm Support Vector Machines Optimized strip solubility matching, obtains gold immunity-chromatography test strip Concentration value.
In the present embodiment, in described step S32, described Normalized Spectral clustering algorithm is particularly as follows: Optimat cut set mesh Scalar functions is:
N c u t ( A , B ) = c u t ( A , B ) a s s o c ( A , V ) + c u t ( A , B ) a s s o c ( B , V )
c u t ( A , B ) = Σ u ∈ A , v ∈ B w ( u , v )
Wherein:
w ( u , v ) = Σ i ∈ u , j ∈ v exp - d ( S i - S j ) 2 σ 2
During code requirement spectral clustering, detect line and nature controlling line according on gold immunity-chromatography test strip nitrocellulose filter The region shape feature of upper envelope antigen antibody, (u v), chooses w to choose image connection weight between the column and the column calculating parameter w (u is v) the connection weight sum of pixel between gold immunity-chromatography test strip image u row and v row, passes through in clustering method Specification cut set object function weighs in class the different degree between the similarity degree between sample and class between sample, cuts by solving specification Image is classified by minimizing of object function of collection, thus splits p-wire region and the nature controlling line region of strip image.
In the present embodiment, due to traditional be to gather strip to react certain based on gold immunity-chromatography test strip image detecting method The image of one particular moment, extracts characteristic parameter, strip image is carried out quantitative analysis.And the foundation of gold immunochromatography detection is One by label, antigen and the Nonlinear Dynamic course of reaction of antibodies.Only particular moment strip image is carried out spy Levy parametric analysis and can lose the dynamic feature information of chromatography course of reaction.In the most described step S33, need according to gold immunity layer The dynamic change of analysis strip course of reaction, chooses particular moment p-wire region and the pixel value in nature controlling line region and the difference of pixel It is worth the behavioral characteristics parameter as strip image.
In the present embodiment, in described step S34, support vector machine matching is used to obtain the concentration value of strip for basis The behavioral characteristics parameter fitting strip concentration curve of strip image, uses particle cluster algorithm Support Vector Machines Optimized model of fit, Set up the approximating method between behavioral characteristics parameter and gold immunity-chromatography test strip image color, improve gold immunochromatography image quantitative Sensitivity, accuracy and the repeatability of detection.
In the present embodiment, described data center is carried out according to data message and the gps data of gold immunity-chromatography test strip Area virus and pathogenic bacteria are studied, and set up different regions, detection purpose distributed data base.
The offers such as the method that the present embodiment provides is food safety detection, environmental monitoring, public safety are a kind of the most effectively In situ quantitation measure means, there are certain practicality and economic results in society.
The foregoing is only presently preferred embodiments of the present invention, all impartial changes done according to scope of the present invention patent with Modify, all should belong to the covering scope of the present invention.

Claims (7)

1. a golden immunity-chromatography test strip image detecting method based on MTK platform, it is characterised in that: comprise the following steps:
Step S1: set up an image detecting apparatus based on MTK platform, described image detecting apparatus include MTK chip unit with And coupled image acquisition units, input-output unit, memory element, GPS positioning unit, communication module；
Step S2: described image acquisition units includes imageing sensor and LED array light source, by regulation LED impulse waveform The brightness of pulse width control LED array light source, the intensity of illumination of regulation colloidal gold strips, it is thus achieved that uniform hot spot, by described Imageing sensor gathers the image of colloidal gold strips；
Step S3: described imageing sensor gathers image transmitting to the described MTK chip unit of colloidal gold strips to be carried out at image Reason；
Step S4: described MTK chip unit by the data message of golden immunity-chromatography test strip obtained after image procossing and The gps data that GPS positioning unit obtains is transmitted to data center by described communication module.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 1, its feature exists In: in described step S1, described MTK chip unit includes MTK6582 chip and MT6627 chip, and described imageing sensor is for taking the photograph As head.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 1, its feature exists In: in described step S1, described input-output unit includes extended keyboard, LCD display and USB interface, in order to as people Machine interface also shows the concentration value of detection and other information.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 1, its feature exists In: in described step S1, described memory element includes FLASH and XRAM, in order to store program and data message.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 1, its feature exists Carry out image procossing in: MTK chip unit described in described step S3 and specifically include following steps:
Step S31: use filtering algorithm that the image of colloidal gold strips carries out pretreatment: empty with it by choosing specific pixel Between the space length parameter of neighborhood pixels, the factor during calculating as filtering, and remove the Gaussian noise of image, the spiced salt is made an uproar Sound and other uncertain noise；
Step S32: the p-wire region of code requirement spectral clustering segmentation colloidal gold strips and nature controlling line region, and extract The image behavioral characteristics value of colloidal gold strips；
Step S33: according to the dynamic change of gold immunity-chromatography test strip course of reaction, choose particular moment p-wire region and Quality Control The pixel value in line region and the difference of pixel are as the dynamic feature coefficient of gold immunity-chromatography test strip image, to characteristic parameter data It is normalized pretreatment；
Step S34: use particle cluster algorithm Support Vector Machines Optimized strip solubility matching, obtains the concentration of gold immunity-chromatography test strip Value.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 5, its feature exists In: in described step S32, described Normalized Spectral clustering algorithm is particularly as follows: Optimat cut set object function is:
N c u t ( A , B ) = c u t ( A , B ) a s s o c ( A , V ) + c u t ( A , B ) a s s o c ( B , V )
cut ( A , B ) = Σ u ∈ A , v ∈ B w ( u , v )
Wherein:
w ( u , v ) = Σ i ∈ u , j ∈ v exp - d ( S i - S j ) 2 σ 2
During code requirement spectral clustering, wrap on line and nature controlling line according to detecting on gold immunity-chromatography test strip nitrocellulose filter By the region shape feature of antigen-antibody, choose image connection weight between the column and the column calculate parameter w (u, v), choose w (u, v) For the connection weight sum of pixel between gold immunity-chromatography test strip image u row and v row, cut by specification in clustering method Collection object function weighs in class the different degree between the similarity degree between sample and class between sample, by solving specification cut set target Image is classified by minimum of a function, thus splits p-wire region and the nature controlling line region of strip image.
A kind of golden immunity-chromatography test strip image detecting method based on MTK platform the most according to claim 1, its feature exists In: described data center carries out area virus and pathogenic bacteria research according to data message and the gps data of gold immunity-chromatography test strip.
CN201610421154.7A 2016-06-14 2016-06-14 Golden immunity-chromatography test strip image detecting method based on MTK platform Pending CN106168578A (en)

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CN107274408A (en) * 2017-06-16 2017-10-20 厦门大学 A kind of image partition method based on new particle filter algorithm
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CN109298179A (en) * 2018-11-29 2019-02-01 福州大学 A kind of immunochromatography detection system and its Background Recognition method
CN109298172A (en) * 2018-11-29 2019-02-01 福州大学 Immunochromatography quantitative detection system and method based on Scheduler and IP kernel
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CN113435444A (en) * 2021-06-29 2021-09-24 华中科技大学 Immunochromatography detection method, immunochromatography detection device, storage medium and computer equipment
CN115468941A (en) * 2022-09-24 2022-12-13 福州大学 Fluorescence immunochromatographic test strip detection system and method based on track optimization

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Application publication date: 20161130