WO2019113812A1 - Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur - Google Patents

Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur Download PDF

Info

Publication number
WO2019113812A1
WO2019113812A1 PCT/CN2017/115771 CN2017115771W WO2019113812A1 WO 2019113812 A1 WO2019113812 A1 WO 2019113812A1 CN 2017115771 W CN2017115771 W CN 2017115771W WO 2019113812 A1 WO2019113812 A1 WO 2019113812A1
Authority
WO
WIPO (PCT)
Prior art keywords
color
block
concentration
liquid
tested
Prior art date
Application number
PCT/CN2017/115771
Other languages
English (en)
Chinese (zh)
Inventor
曾锐
陈淞
耿斯卿
Original Assignee
深圳市在田翊方科技有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 深圳市在田翊方科技有限公司 filed Critical 深圳市在田翊方科技有限公司
Priority to PCT/CN2017/115771 priority Critical patent/WO2019113812A1/fr
Publication of WO2019113812A1 publication Critical patent/WO2019113812A1/fr

Links

Images

Classifications

    • 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
    • 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
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • 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
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • G01N21/274—Calibration, base line adjustment, drift correction
    • 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
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics

Definitions

  • the invention relates to the field of biological detection, in particular to a quantitative detection method of a concentration of a liquid to be tested based on color recognition.
  • the essence of the color change reaction is that the degree of aggregation of the individual or individual of the chemical reagent molecule changes before and after the reaction (the molecular particle diameter or the intermolecular gap changes), so that it loses or acquires the absorption or scattering ability for visible light of a specific wavelength, and appears in the human eye as The change in color.
  • the reaction color change ability of chemical reagents is often used for the characterization or labeling of specific chemicals.
  • the change in color before and after the reagent reaction can qualitatively judge the presence of a specific chemical (eg, membrane gonadotropin).
  • a specific chemical eg, membrane gonadotropin
  • Hormone HCG assay for pregnancy testing, acid-base indicator for acid-base determination, etc. semi-quantitative estimation of specific chemical content (such as luteinizing hormone LH, such as follicle stimulating hormone FSH determination for alignment Cycle estimation, pH test paper for pH determination, etc.), even quantitative determination of specific chemical content. Due to the convenience of the observation of the results, the determination of chemicals based on the color change reaction in the visible range has been more widely used in practical life.
  • one type of reaction is to identify the target compound by the principle of "coupling dyeing". It generally marks the test substance by "staining” by an immune reaction, and determines the content of the test substance by relying on the degree of shading of the residual color after removing the coloring agent. In order to determine the accuracy, it is necessary to ensure that the liquid to be tested is separated from the dye by sufficient contact. There are two main quantitative test methods, which can be called water washing and chromatography.
  • Washing methods are mostly used in laboratory environments (including solid phase and homogeneous methods), and the steps generally include "dip-wait-fat” for the reaction substrate (an antibody or antigen on the substrate that can be sensitive to the active ingredient of the test solution).
  • - Flushing process in the case where a single reactant does not have excellent color development properties, in some experiments there is a "secondary dip-secondary rinse” step using "coloring" with a bright color competitor or antibody
  • the final measured color shade can be proportional to the concentration of the target compound in the liquid to be tested.
  • Chromatography is widely used in the field of rapid assays and must rely on a white adsorbent substrate (typically nitrocellulose) with a chromatographic effect on the liquid to be tested.
  • a white adsorbent substrate typically nitrocellulose
  • the solution is moved forward by chromatography to dissolve the dyed solidified on the bonding pad and wrap it together to move;
  • the color concentration on the final “test line”, or the ratio of the color of the "test line” to the “control line” (or the degree of absorption of visible light for a particular band), and the liquid target to be tested The compound concentration is in a corresponding correspondence. Due to the difference in methods, the two major methods also have different test methods for color change: in the water washing method, the transmission method and the spectrum analyzer can be used to determine the change of the absorption spectrum of the reaction substrate, and the reflection method can be used to determine the reaction substrate on a white background. The degree of color change; chromatography generally uses reflection and photosensors to detect the extent to which the reaction zone absorbs light of a particular wavelength.
  • the washing method is convenient to exclude background noise (unreacted dye), but the manipulation steps are more complicated, and the chromatographic measurement process is more convenient, and the commercialized products are more generally accepted.
  • the "test line” or “control line” is not directly used in the actual detection. "The measured light intensity is used to estimate the target compound concentration, but the ratio of the light intensity measured on the "test line” and the “control line” is used as the basis for calculating the concentration. At this time, the "control line” on the same reagent strip can be considered. The measurement environment in which the "test line” is in a short time (5 seconds) is consistent.
  • the "two-line" reagent strip needs to observe the absorbance of the two sensitive bands in order to obtain the desired target compound concentration, and there are many mature measurement methods and means in order to accurately measure the required light absorption.
  • the current general method is to use a stepper motor or a geared motor to drive the relative motion between the "specific wavelength source-induction block" and the reagent strip, and drive the stepper motor in the open loop mode at the same specified number of steps per run ( Or the geared motor runs at the same speed for a constant time) and then pauses, so that the analog-to-digital conversion module samples the response output of the optoelectronic device, and finally obtains a list of the relationship of "absorbance level - moving steps" (or “absorbance level - moving time”).
  • the "bulk pack” area enclosed by the "absorbance” local maximum value or the “absorbance degree” curve obtained by the fitting method in the list can be used as the "measurement line” absorbance and the "control line” absorbance reference value mentioned above. .
  • the geared motor in order to avoid the multiple start and stop of the geared motor and the resulting distance output error, the geared motor will travel at a slower speed instead of the interval pause motion, and a relative motion can also detect one. "Absorption level - moving time”.
  • Color is the characterization of the absorption/reflection spectrum of an object under specific illumination light.
  • the acquisition conditions are appropriate (the illumination spectrum covers at least one main absorption peak of the absorption/reflection spectrum of the object, the illumination condition is unchanged, and the visual sensor is in the test time)
  • the physical properties of the segment are unchanged.
  • the color change of the object detected by the sensor corresponds to the change of the absorption spectrum/reflection spectrum.
  • the quantitative test of the analyte concentration of the chromatographic reagent strip can be completed by image processing and color recognition technology.
  • the basic method is to use image processing technology to determine the reaction area (ie, the color change area), and then use the color recognition technology.
  • the color of the reaction area is identified in a specific coordinate system, and finally the concentration of the analyte is obtained by using the previously collected data (corresponding relationship between the color coordinates and the concentration of the analyte).
  • the concentration of the analyte in the droplet is measured using the color change reaction of the portable chromatography strip, if the influence of the ambient light can be removed in the above manner, it can be completely taken in an open space using a mobile device with a vision sensor (camera). After the appropriate picture is taken, the solubility of the analyte to meet the accuracy requirement is directly obtained.
  • a vision sensor camera
  • chromatographic reagent strips based on color-changing reactions have been widely used in qualitative measurement of analytes.
  • the detection accuracy of semi-quantitative measurements is not high.
  • the introduction of higher stability measuring equipment with chromatographic reagent strips as long as the consistency of the reagent strips in the processing and production, can obtain more accurate concentration measurement results, and can continuously improve the detection accuracy of the measuring equipment. To improve the accuracy of measurement results.
  • the present invention provides a method for quantitatively detecting a concentration of a liquid to be tested based on color recognition, which can effectively solve the above problems.
  • the technical solution provided by the present invention to solve the above technical problem is to provide a method for quantitatively detecting a concentration of a liquid to be tested based on color recognition, comprising the following steps: Step S1, integrating a liquid to be tested into a detecting object, and the liquid to be tested is in the detecting object.
  • step S2 a color reaction occurs in step S2; the color reaction time in step S1 is calculated to ensure that the color reaction is sufficiently performed, the color reaction region in the detection object is determined, and a plurality of color blocks are arranged around the color reaction region in the detection object; step S3, The diffuse light information of the color reaction area and the color block is obtained by using the sensor device; in step S4, the information corresponding to the color reaction area and each color block is located by the image recognition technology, and the diffuse light information is converted into a specific color space.
  • step S5 through the optical principle, the color reaction area and color block diffuse reflection information, ambient illumination and other external factors are equivalently equivalent to an equivalent ambient illumination; step S6, determine whether the equivalent ambient illumination meets the requirements If the equivalent ambient illumination meets the requirements, the next step is entered, and the equivalent ambient illumination does not match. If required, the equivalent ambient illumination needs to be improved, and the judgment is made until the requirements are met; in step S7, the standard color of the color reaction area is calculated; and in step S8, the concentration of the test solution is calculated by the correspondence between the standard color of the color reaction area and the concentration of the liquid to be tested. Output the result.
  • the color block may be solidified on the side of the color reaction area, or may be placed around the color reaction area only during observation to ensure that the color block and the color reaction area are the same during observation. environment of.
  • the determination of the relative position of the color block and the color reaction area can be achieved by a card slot, a chute and a buckle.
  • the color block includes a color block for assisting in calculating the illuminance value of the illumination light, a color block for assisting in calculating the brightness value of the illumination light, a color block for verifying the correctness of the calculation result of the illumination light, and for registering And locate the color block corresponding to the color block.
  • the color block and the color reaction area are located in the observation range, the color reaction area is placed in the card slot, the card slot is placed in the middle of the observation range, and the color blocks are arranged in a matrix on both sides of the card slot, and the color block is arranged.
  • the card slot is symmetrically distributed at the center of the observation range.
  • the color is considered to be a Minkowski norm ratio of ambient illumination under the equivalent ambient light, which follows the calculation formula:
  • [r e , g e , b e ] T is the RGB color value coordinate of the equivalent ambient illumination
  • [ ⁇ p (R p ), ⁇ p (G p ), ⁇ p (B p )] T is the color group in order p blocks equivalent ambient light measured RGB coordinates Minkowski norm, N being the number of colors successfully measured chunk
  • M n is the smallest block of color of a block can be subdivided
  • the number, f(n, m) is the RGB weighted gray value on the smallest block marked with n, m, R(n, m), G(n, m) and B(n, m) are respectively n , the RGB coordinate value on the smallest block marked by m.
  • the RGB coordinate system is introduced and a CIE1931 coordinate system is redefined, and the color can be represented by (X, Y, Z) in the CIE1931 coordinate system, and can be expressed as coordinates (x, in the CIE1931 chromaticity diagram).
  • y its conversion relationship with RGB coordinates is:
  • the feature color block (the color block a for assisting calculation of the illuminating light chromaticity value) is selected by using the spectral curve in the CIE1931 chromaticity diagram, and the position of the characteristic color block on the spectral line is anchored. And recorded as the point group D 1 ,...D k , and then the observation values of the corresponding color block are marked in the chromaticity diagram, and recorded as the point groups S 1 ,...S k , respectively, the ray D 1 S 1 ,...D k S k , using the least squares method to find the distance from all rays and the shortest point E, then the coordinate value of the point E is the chromaticity of the equivalent ambient illumination.
  • the brightness of the current equivalent ambient illumination can be obtained by using the gray scale information on the color block b for assisting in calculating the luminance value of the illumination light.
  • Equivalent ambient lighting The color coordinate values in the color space can always be expressed as a function of the color coordinates measured by the color block, as follows:
  • the color block with RGB coordinate values [r c , g c , b c ] T under standard illumination conditions is taken as an example.
  • value [r e, g e, b e] is equivalent to the color coordinate values of the ambient illumination T [r ce, g ce, b ce] T is:
  • the standard color of the color reaction region in the standard illumination environment is estimated by the measured color, which is a matrix transformation process, in the CIE1931 coordinate system, Under the equivalent ambient illumination [r e , g e , b e ] T , the color block whose color coordinate value is [r s , g s , b s ] T is measured, and the color coordinate value under standard illumination [r c , g c , b c ] T can be calculated as follows:
  • the restoration process can be expressed by the following equation:
  • the correspondence between the standard color of the color reaction region and the concentration of the liquid to be tested can be described by using the following relationship, and the concentration of the liquid to be tested is obtained by using an interpolation method:
  • ⁇ c f ⁇ (C 1 , ⁇ 1 , C 2 , ⁇ 2 , ..., C n , ⁇ n , C c )
  • ⁇ 1 , ⁇ 2 , . . . , ⁇ n are the n known concentrations of the liquid to be tested under the offline state, and the standard color is in the color space after the color reaction of the color reaction region under different concentrations of the liquid to be tested.
  • the coordinate value, C c is the coordinate value of the current standard color of the color reaction region obtained in the color space.
  • the detected object is an item detected based on a reagent and a color change.
  • the sensor device is one or more of an integrated camera, a single camera, and a CCD sensor.
  • the detection object is a small pore diameter nitrocellulose test paper.
  • the method for quantitatively detecting the concentration of the liquid to be tested based on the color recognition of the present invention can be further corrected by introducing a color block around the color reaction area and estimating the equivalent ambient light according to the color information of the color block. And reduce the detection error caused by the difference between the detection equipment and the environment, improve the detection accuracy; eliminate the need to manufacture a sealed and matte environment through the detection device, reduce the use requirements of the detection equipment, reduce the cost, and improve the applicability.
  • FIG. 1 is a schematic diagram of a color block arrangement of a method for quantitatively detecting a concentration of a liquid to be tested based on color recognition according to the present invention
  • step S5 is a schematic diagram of deriving an equivalent ambient illumination spectral line in step S5 of the method for quantitatively detecting a concentration of a liquid to be tested based on color recognition according to the present invention.
  • first, second, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is at least two, such as two, three, etc., unless specifically defined otherwise.
  • a method for quantitatively detecting a concentration of a liquid to be tested based on color recognition comprises the following steps:
  • step S1 the liquid to be tested is incorporated into the test object, and the liquid to be tested undergoes a color reaction in the test object.
  • the test object is an item that is detected based on reagent and color change.
  • the detection object is a small pore diameter nitrocellulose test paper, and the small pore diameter nitrocellulose test paper has good sensitivity, and can appropriately reduce the flow rate of the liquid to be tested in the test paper, thereby obtaining a longer color reaction time, so that the color reaction is sufficiently performed.
  • step S2 the color reaction time in step S1 is calculated to ensure that the color reaction is sufficiently performed, the color reaction region in the detection object is determined, and a plurality of color blocks are arranged around the color reaction region in the detection object.
  • the color block may be solidified on the side of the color reaction area, or may be placed around the color reaction area only during observation to ensure that the color block and the color reaction area are observed. In the same environment, the test results are more accurate.
  • the determination of the relative position of the color block and the color reaction area can be achieved by physical means such as the card slot e, the chute and the lock.
  • the color block includes a color block a for assisting in calculating the illuminance chromaticity value, a color block b for assisting in calculating the illuminating light luminance value, a color block c for verifying the correctness of the illuminating light calculation result, and for registering And locating the color block d corresponding to the color block.
  • the card slot e is used to place the color reaction area, and it is convenient to determine the relative position of the color reaction area and the color block.
  • a circular observation range is selected, the color block and the color reaction area are located in the observation range, and the color reaction area is placed in the card slot e, and the card slot e Placed in the middle of the observation range, the color blocks are distributed in a matrix on both sides of the card slot e, and the color block and the card slot e are symmetrically distributed at the center of the observation range.
  • step S3 the diffuse reflection light information of the color reaction area and the color block is acquired by using the sensor device.
  • the sensor device is one or more of an integrated camera, a single camera, and a CCD sensor to ensure that the user can obtain a continuous period of the continuous region including the color reaction region and the color block by an appropriate method. Diffuse light information.
  • Step S4 the image corresponding to the color reaction area and each color block is located by the image recognition technology, and the diffuse light information is converted into the color coordinates in a specific color space.
  • step S5 the optical reaction area and the color block diffuse reflection information, ambient illumination, and other external factors are equivalently calculated as an equivalent ambient illumination.
  • the RGB coordinate system that is, the red, green, and blue light sources are used to allocate an arbitrary color light. , or use red, green, blue to match any color.
  • the spectroscopy significance of using RGB values to describe color is that in the visible light band, white light or white, which is understood by the human eye, can be blended with different proportions of red, green and blue light.
  • this "provisioning" even needs to subtract some kind of light (which is physically impossible), the RGB coordinate system does not really match all the colors.
  • the CIE1931 coordinate system defines a new "three primary colors" called spectral tristimulus values. with It meets:
  • the tristimulus value is positive
  • the stimulus value of a primary color which represents the brightness of the mixed color, and the other two primary colors do not contribute to the brightness of the mixed color;
  • the mixed light still represents standard isoenergetic white light.
  • the color can be represented by (X, Y, Z) in the CIE1931 coordinate system, and can be expressed as coordinates (x, y) in the CIE1931 chromaticity diagram: whether the chromaticity diagram coordinates are two-dimensional coordinates, The bottom material is a two-dimensional coordinate, but the z coordinate appears in the following formula, please confirm that its conversion relationship with RGB coordinates is:
  • RGB coordinates can be converted to CIE1931 coordinates for calculation.
  • the estimation method of the equivalent ambient illumination is preferably two, and both methods need to measure the coordinate values of the color block in the RGB coordinate system through step S4.
  • [r e , g e , b e ] T is the RGB color value coordinate of the equivalent ambient illumination
  • [ ⁇ p (R p ), ⁇ p (G p ), ⁇ p (B p )] T is the color group in the equivalent block ambient light measured RGB p logarithmic order Minkowski norm, N being the number of colors chunks success measured
  • M n is the n th color blocks may be subdivided smallest block
  • the number, f(n, m) is the RGB weighted gray value on the smallest block marked with n, m, R(n, m), G(n, m) and B(n, m) are respectively The RGB coordinate value on the smallest block marked by n,m.
  • the characteristic color block (the color block a for assisting calculation of the illuminance chromaticity value) is selected by using the spectral curve in the CIE1931 chromaticity diagram, and the position of the characteristic color block on the spectral line is anchored and recorded as Point groups D 1 ,...D k , and then the observation values of the corresponding color chunks are marked in the chromaticity diagram, and recorded as point groups S 1 ,...S k , respectively, ray D 1 S 1 , ...D k S k , using the least squares method to find the distance from all rays and the shortest point E, then the coordinate value of point E is the chromaticity of equivalent ambient illumination.
  • the brightness of the current equivalent ambient illumination can be obtained by using the gray scale information on the color block b for assisting in calculating the luminance value of the illumination light.
  • Equivalent ambient lighting The color coordinate values in the color space can always be expressed as a function of the color coordinates measured by the color block, as follows:
  • Is a column vector consisting of all the smallest block R channel values on each color block.
  • Is a column vector consisting of all the minimum block G channel values on each color block. It is a column vector consisting of all the minimum block B channel values on each color block.
  • step S6 it is determined whether the equivalent ambient illumination meets the requirements. If the equivalent ambient illumination meets the requirements, the process proceeds to the next step. If the equivalent ambient illumination does not meet the requirements, the equivalent ambient illumination needs to be improved, and the judgment is made again until the requirements are met.
  • step S6 when the equivalent ambient light contains special ambient light, since the special ambient light itself lacks part of the wavelength light wave (or the ratio is very low), the color change of the color reaction area under the illumination thereof is not obvious. At this time, the equivalent ambient illumination does not meet the requirements, and the equivalent ambient illumination needs to be improved, and the improved equivalent ambient illumination is re-evaluated until it meets the requirements.
  • the necessary condition for the test program to proceed is: the norm for any reflection spectrum satisfies:
  • the brightness of the reflected light in the equivalent ambient illumination light is insufficient, and it cannot provide sufficient basis for the test of the concentration of the analyte.
  • the norm n d indicates the matching degree between the illumination spectrum and the reflection spectrum. If the value is greater than ⁇ d , it means that the distance between the main peak in the current equivalent illumination and the main reflection peak in the discolored area is too large, and the detected color is too large. Can not be used as the concentration judgment; the norm n l indicates the distribution of the optical power of the reflected light peak in the discolored area. If the value is greater than ⁇ l , it means that the light intensity is too dark to provide an effective test result.
  • the color information of the color block c used to verify the correctness of the calculation result of the illumination light under the equivalent ambient illumination can be obtained by using the Von Keris color coefficient law to verify the equivalent ambient illumination. Calculation results. Take the color block with RGB coordinate values [r c , g c , b c ] T under standard lighting conditions as an example, under the equivalent ambient illumination with color coordinate values [r e , g e , b e ] T The color coordinate values [r ce ,g ce ,b ce ] T are:
  • step S7 the color reaction area standard color is calculated.
  • the standard color of the color reaction region in the standard illumination environment is estimated by the measured color is a matrix transformation process, in CIE1931
  • the color coordinates under standard illumination The value [r c , g c , b c ] T can be calculated as follows:
  • step S8 the concentration of the liquid to be tested is calculated by the correspondence between the standard color of the color reaction area and the concentration of the liquid to be tested, and the result is output.
  • ⁇ c f ⁇ (C 1 , ⁇ 1 , C 2 , ⁇ 2 , ..., C n , ⁇ n , C c )
  • ⁇ 1 , ⁇ 2 , . . . , ⁇ n are the n known concentrations of the liquid to be tested under the offline state, and the standard color is in the color space after the color reaction of the color reaction region under different concentrations of the liquid to be tested.
  • the coordinate value, C c is the coordinate value of the current standard color of the color reaction region obtained in the color space.
  • C sr is the coordinate value of the highest saturation color in the color space that can be achieved by the color reaction zone under the standard color measurement. According to the above formula, you can get:
  • the method for quantitatively detecting the concentration of the liquid to be tested based on the color recognition of the present invention can be further corrected by introducing a color block around the color reaction area and estimating the equivalent ambient light according to the color information of the color block. And reduce the detection error caused by the difference between the detection equipment and the environment, improve the detection accuracy; eliminate the need to manufacture a sealed and matte environment through the detection device, reduce the use requirements of the detection equipment, reduce the cost, and improve the applicability.

Landscapes

  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Mathematical Physics (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Plasma & Fusion (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Molecular Biology (AREA)
  • Spectrometry And Color Measurement (AREA)

Abstract

L'invention concerne un procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur qui comprend les étapes principales suivantes : étape S4, localisation d'une zone de réaction de coloration et d'informations correspondant à chaque bloc de couleur par une technique de reconnaissance d'image, et conversion des informations de lumière de réflexion diffuse en coordonnées de couleur dans un espace colorimétrique spécifique ; étape S5, réalisation, en s'appuyant sur des principes optiques, de calculs équivalents sur la zone de réaction de coloration, les informations de réflexion diffuse des blocs de couleur, l'éclairage ambiant et d'autres facteurs externes pour obtenir un éclairage ambiant équivalent ; étape S7, calcul d'une couleur standard de zone de réaction de coloration ; et étape S8, calcul de la concentration d'une solution à détecter grâce à une correspondance entre la couleur standard de la zone de réaction de coloration et la concentration de la solution à détecter, et production d'un résultat. Par comparaison avec l'état de la technique, ce procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur peut en outre corriger des erreurs de détection provoquées par des facteurs propres au dispositif et à l'environnement, améliorer la précision de détection, réduire les coûts et renforcer l'applicabilité.
PCT/CN2017/115771 2017-12-13 2017-12-13 Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur WO2019113812A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/115771 WO2019113812A1 (fr) 2017-12-13 2017-12-13 Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/115771 WO2019113812A1 (fr) 2017-12-13 2017-12-13 Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur

Publications (1)

Publication Number Publication Date
WO2019113812A1 true WO2019113812A1 (fr) 2019-06-20

Family

ID=66818860

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/115771 WO2019113812A1 (fr) 2017-12-13 2017-12-13 Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur

Country Status (1)

Country Link
WO (1) WO2019113812A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3954990A1 (fr) 2020-08-11 2022-02-16 Roche Diabetes Care GmbH Dispositif de fixation de bandelette d'essai pour des mesures optiques d'un analyte

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140147041A1 (en) * 2012-11-28 2014-05-29 International Business Machines Corporation Image color correction
CN104969068A (zh) * 2012-08-08 2015-10-07 思勘度股份有限公司 用于在自动校准环境中执行及量化由特定浓度的生物分析物诱发的色彩改变的方法及设备
CN106651795A (zh) * 2016-12-03 2017-05-10 北京联合大学 一种利用光照估计来校正图像颜色的方法
CN108051434A (zh) * 2017-12-13 2018-05-18 深圳市在田翊方科技有限公司 一种基于颜色识别的待测液浓度定量检测方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104969068A (zh) * 2012-08-08 2015-10-07 思勘度股份有限公司 用于在自动校准环境中执行及量化由特定浓度的生物分析物诱发的色彩改变的方法及设备
US20140147041A1 (en) * 2012-11-28 2014-05-29 International Business Machines Corporation Image color correction
CN106651795A (zh) * 2016-12-03 2017-05-10 北京联合大学 一种利用光照估计来校正图像颜色的方法
CN108051434A (zh) * 2017-12-13 2018-05-18 深圳市在田翊方科技有限公司 一种基于颜色识别的待测液浓度定量检测方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
LIU, BAIFEN ET AL.: "Research on Color Constancy based on Fusion Algorithm LS-SVR", COMPUTER SIMULATION, vol. 31, no. 10, 31 October 2015 (2015-10-31), pages 370 *
LU, RUI: "Research on Computational Color Constancy for Natural Images", ELECTRONIC TECHNOLOGY & INFORMATION SCIENCE, CHINA DOCT. DISS., no. 7, 15 July 2011 (2011-07-15), pages 3, 7 - 23 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3954990A1 (fr) 2020-08-11 2022-02-16 Roche Diabetes Care GmbH Dispositif de fixation de bandelette d'essai pour des mesures optiques d'un analyte
WO2022033999A1 (fr) 2020-08-11 2022-02-17 F. Hoffmann-La Roche Ag Dispositif de fixation de bandelette d'analyse destiné à des mesures optiques d'un analyte

Similar Documents

Publication Publication Date Title
CN108051434B (zh) 一种基于颜色识别的待测液浓度定量检测方法
JP7271611B2 (ja) 試験紙及び試験紙の読取方法
US10753861B2 (en) Methods for colorimetric analysis
US20210131973A1 (en) Detection method for detecting an analyte in a sample
ES2890884T3 (es) Procedimientos y dispositivos para realizar una medición analítica en base a una reacción de formación de color
US9658152B2 (en) Optical interpretation of assay results
WO2015038717A1 (fr) Système pour le test diagnostique d'échantillons liquides
EP1634058B1 (fr) Correction de longueur d'onde de source lumineuse
US11781973B2 (en) Methods and systems for calibrating and using a camera for detecting an analyte in a sample
US20210255111A1 (en) Methods and devices for performing an analytical measurement
CN106323977A (zh) 基于移动终端的变色诊断试纸定量成像系统
CN105223196A (zh) 一种基于智能终端的尿液分析方法
CN105319210A (zh) 尿液分析方法
Bao et al. A remote computing based point-of-care colorimetric detection system with a smartphone under complex ambient light conditions
WO2017019762A1 (fr) Photométrie basée sur des images
CN108387542A (zh) 一种基于智能手机的水中氟离子比色传感器及其应用
WO2019113812A1 (fr) Procédé pour la détection quantitative de la concentration d'une solution à détecter sur la base d'une reconnaissance de couleur
CN102735683A (zh) pH试纸读值仪
US20230324307A1 (en) Circuit board with onboard light sources
Raja et al. Use of RGB color sensor in colorimeter for better clinical measurement of blood glucose
KR20180055320A (ko) 가정용 수질 검사 키트를 이용한 수질 검사 방법.
RU2768216C1 (ru) Способ определения концентрации аналита в физиологической жидкости
CN208506053U (zh) 光信号检测装置及系统
CN106770225B (zh) 一种降钙素原浓度定量测量方法及系统
JP7292773B1 (ja) 免疫クロマト試験片の呈色領域を測定する方法、プログラムおよび装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17934540

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17934540

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 02/11/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17934540

Country of ref document: EP

Kind code of ref document: A1