Colloidal gold detection method and system of antigen kit

Abstract

The invention relates to a colloidal gold detection method and system of an antigen kit. The method comprises the following steps: acquiring an image of colloidal gold to be detected; obtaining the particle size range of the to-be-detected colloidal gold according to the image of the to-be-detected colloidal gold; comparing the particle size range of the to-be-detected colloidal gold with the standard particle size to obtain an initial detection result of the to-be-detected colloidal gold; if the initial detection result of the to-be-detected colloidal gold is qualified, carrying out secondary detection on the to-be-detected colloidal gold; the secondary detection comprises the following steps: respectively carrying out DLS particle size analysis, Zeta potential detection and electron microscope imaging on the to-be-detected colloidal gold to obtain particle size distribution uniformity, Zeta potential and particle size morphology regularity of the to-be-detected colloidal gold so as to obtain a detection result of the to-be-detected colloidal gold. The system and the equipment are used for executing the method. According to the invention, the artificial subjective influence in the colloidal gold quality inspection process can be reduced, and the accuracy and reliability of the colloidal gold quality inspection process are improved, so that the product quality of the antigen kit is improved.

Description

Technical Field

[0001] The present application relates to the technical field of antigen reagent detection, and in particular to a colloidal gold detection method and system for an antigen reagent kit. Background Art

[0002] Colloidal gold, also known as gold sol, is a stable, uniform, single-dispersed suspension of gold particles suspended in a liquid formed when gold salt is reduced to gold element. It is also one of the components of the antigen test kit.

[0003] The characteristics of colloidal gold, such as particle size, distribution and morphology, will affect the accuracy of the final test results. In the existing technology, there is no unified process and standard for quality inspection in the colloidal gold production process. Most manufacturers adopt a random inspection model, and quality inspectors inspect the colloidal gold by observing the color of the solution with the naked eye and the particle distribution with an electron microscope. This method relies heavily on the experience of the quality inspectors and is greatly influenced by the subjective influence of the quality inspectors. It may lead to inconsistent colloidal gold standards in the antigen test kits shipped from the factory, and some colloidal gold may not meet the quality standards, leading to false detection. This not only affects the reliability of the antigen test kit products, but is more likely to affect the life and health of the tester. Therefore, how to conduct more objective and accurate quality inspection of colloidal gold is a technical problem that needs to be solved urgently in this field. Summary of the Invention

[0004] In order to solve the problems existing in the above-mentioned prior art, the purpose of this application is to provide a colloidal gold detection method and system for an antigen kit. This application can reduce the subjective influence of human beings in the colloidal gold quality inspection process, improve the accuracy and reliability of the colloidal gold quality inspection process, and thus improve the product quality of the antigen kit.

[0005] The colloidal gold detection method of the antigen kit described in the present application comprises the following steps:

[0006] S01, obtaining an image of the colloidal gold to be tested;

[0007] S02. Obtaining the particle size range of the colloidal gold to be tested according to the image of the colloidal gold to be tested;

[0008] S03, comparing the particle size range of the colloidal gold to be tested with the standard particle size to obtain a preliminary test result of the colloidal gold to be tested;

[0009] S04. If the initial test result of the colloidal gold to be tested is qualified, a secondary test is performed on the colloidal gold to be tested;

[0010] The secondary detection includes:

[0011] Perform DLS particle size analysis, Zeta potential detection, and electron microscopy imaging on the colloidal gold to be measured, and obtain the particle size distribution uniformity, Zeta potential, and particle size morphology regularity of the colloidal gold to be measured;

[0012] Based on the particle size distribution uniformity, Zeta potential, and particle size morphology regularity of the colloidal gold to be measured obtained, obtain the detection result of the colloidal gold to be measured.

[0013] Preferably, step S02 includes:

[0014] Input the image of the colloidal gold to be measured into the particle size range recognition model to obtain the particle size range of the colloidal gold to be measured;

[0015] The particle size range recognition model is obtained through the following steps:

[0016] Collect images of colloidal gold with different particle sizes, and establish a mapping database of particle size - colloidal gold images as sample data;

[0017] Input the sample data into the classification model to train the classification model, and obtain the particle size range recognition model.

[0018] Preferably, in the secondary detection, performing DLS particle size analysis on the colloidal gold to be measured includes:

[0019] Obtain the average particle size Particle size standard deviation σ and polydispersity index PDI of the colloidal gold to be measured, and calculate the particle size distribution uniformity result Uni of the colloidal gold to be measured according to the following formula:

[0020]

[0021] where w1, w2, and w3 respectively represent the initial first weight, second weight, and third weight, satisfying w1 < w2 ≤ w3, and d' represents the standard particle size;

[0022] Preset a standard deviation threshold thr σ for the particle size standard deviation σ PDI and a polydispersity threshold thr σ for the polydispersity index PDI. In response to the particle size standard deviation σ being not less than the standard deviation threshold thr PDI and / or the polydispersity index PDI being not less than the polydispersity threshold thr, decrease the first weight and increase the second weight and / or the third weight.

[0023] Preferably, in the secondary detection, performing Zeta potential detection on the colloidal gold to be measured includes:

[0024] The standard interval of Zeta potential is set as c=(V min ,V max ), obtaining the Zeta potential of the colloidal gold to be tested;

[0025] If the Zeta potential of the colloidal gold to be tested does not belong to the standard interval c, the Zeta potential detection result of the colloidal gold to be tested is set to 0. If the Zeta potential of the colloidal gold to be tested belongs to the standard interval c, the Zeta potential of the colloidal gold to be tested is normalized based on the standard interval c to obtain the Zeta potential detection result V of the colloidal gold to be tested. Zeta .

[0026] Preferably, in the secondary detection, the electron microscope imaging analysis of the colloidal gold to be tested includes:

[0027] Obtain an electron microscope image of the colloidal gold to be tested, and based on the electron microscope image, obtain the long axis L of the particles in the colloidal gold to be tested. l and short axis L s , calculate the aspect ratio AR of each particle in the colloidal gold to be tested:

[0028] AR=L l / L s ;

[0029] Based on the aspect ratio AR of each particle obtained, the average aspect ratio of the particles in the colloidal gold to be tested is calculated.

[0030]

[0031] Wherein, n represents the number of particles in the colloidal gold to be tested, and i represents the particle number;

[0032] Aspect ratio extreme value AR max :

[0033] AR max =max(AR1, AR2...AR n ),

[0034] Proportion of alien shapes P irr :

[0035]

[0036] Among them, n irr It indicates the number of particles with aspect ratio greater than the aspect ratio threshold in the colloidal gold to be tested,

[0037] Based on the average aspect ratio Aspect ratio extreme value AR max and the proportion of aliens P irr, calculate the morphological regularity result MRI of the colloidal gold to be tested:

[0038]

[0039] Preferably, based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, obtaining the test result of the colloidal gold to be tested includes:

[0040] Calculate the detection index DR of the colloidal gold to be tested:

[0041] DR=w4*Uni+w5*(1-V Zeta) +w6*(1-MRI),

[0042] Among them, w4, w5 and w6 represent the fourth weight, fifth weight and sixth weight respectively.

[0043] If the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested are up to standard, and the test result DR of the colloidal gold to be tested is less than the preset test result threshold thr DR , the colloidal gold to be tested is qualified, otherwise the colloidal gold to be tested is unqualified.

[0044] Preferably, calculating the detection index DR of the colloidal gold to be tested further includes:

[0045] constructing a genetic algorithm regarding the fourth weight, the fifth weight, and the sixth weight;

[0046] When calculating the detection index DR of the colloidal gold to be tested, according to the particle size range of the colloidal gold to be tested obtained in step S02, the optimal solutions of the fourth weight, the fifth weight and the sixth weight corresponding to the particle size range of the colloidal gold to be tested are obtained and updated through the genetic algorithm.

[0047] The colloidal gold detection system of an antigen kit of the present application comprises:

[0048] An imaging module, which is used to obtain an image of the colloidal gold to be tested;

[0049] a particle size recognition module, which is used to obtain the particle size range of the colloidal gold to be tested based on the image of the colloidal gold to be tested;

[0050] An initial inspection module is used to compare the particle size range of the colloidal gold to be tested with the standard particle size to obtain the initial inspection result of the colloidal gold to be tested;

[0051] A secondary detection module, configured to perform a secondary detection on the colloidal gold to be tested in response to a qualified initial detection result of the colloidal gold to be tested;

[0052] The secondary detection includes:

[0053] Performing DLS particle size analysis, Zeta potential detection and electron microscope imaging on the colloidal gold to be tested, respectively, to obtain the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested;

[0054] Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the detection result of the colloidal gold to be tested is obtained.

[0055] A computer device of the present application includes a processor and a memory connected by signals, characterized in that the memory stores at least one instruction or at least one program, and when the at least one instruction or the at least one program is loaded by the processor, it executes the colloidal gold detection method of the antigen kit as described above.

[0056] The present application provides a computer-readable storage medium having at least one instruction or at least one program stored thereon, characterized in that when the at least one instruction or the at least one program is loaded by a processor, the colloidal gold detection method of the antigen kit as described above is executed.

[0057] The colloidal gold detection method and system for an antigen test kit described in the present application have the advantages that the present application performs an initial inspection of the colloidal gold to be tested through machine vision, and performs a secondary inspection on the colloidal gold to be tested that passes the initial inspection. The secondary inspection includes DLS particle size analysis, Zeta potential detection and electron microscopy imaging, and the test results are quantified and normalized before calculating the test results. This can reduce the human subjective influence in the colloidal gold quality inspection process, improve the accuracy and reliability of the colloidal gold quality inspection process, and thus improve the product quality of the antigen test kit. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 1 is a flow chart of the steps of the colloidal gold detection method of the antigen kit described in this embodiment;

[0059] Figure 2 is a schematic diagram of the structure of the computer device described in this embodiment;

[0060] Figure 3 This is an exemplary electron microscope image of colloidal gold.

[0061] Description of reference numerals: 101 - processor, 102 - memory. DETAILED DESCRIPTION

[0062] like Figure 1 As shown, the colloidal gold detection method of an antigen kit described in the present application comprises the following steps:

[0063] S01, obtaining an image of the colloidal gold to be tested;

[0064] S02. Obtaining the particle size range of the colloidal gold to be tested according to the image of the colloidal gold to be tested;

[0065] Since the color of colloidal gold solution is directly related to its particle size, which is determined by the surface plasmon resonance effect and light scattering properties.

[0066] Generally speaking, colloidal gold solutions with small particle sizes (2-20 nm) are orange-yellow to wine-red in color.

[0067] Colloidal gold solution with medium particle size (20-50nm) is dark red to purple red.

[0068] Colloidal gold solution with large particle size (50-80nm) is blue-purple.

[0069] The above is the basis for judging the colloidal gold solution to be tested by machine vision.

[0070] To obtain an image of the colloidal gold to be tested, specifically, a multi-channel light source (such as 400-800nm band) is used to provide illumination, and an industrial camera is used to capture the solution image. Preferably, short-wave infrared and ultraviolet light can be used to irradiate the colloidal gold to be tested to enhance the color resolution of the image.

[0071] Obtaining the particle size range of the colloidal gold to be tested according to the image of the colloidal gold to be tested specifically includes:

[0072] Inputting the image of the colloidal gold to be tested into a particle size range recognition model to obtain the particle size range of the colloidal gold to be tested;

[0073] The particle size range identification model is obtained by the following steps:

[0074] Collect multiple sets of colloidal gold images of different particle sizes and establish a particle size-colloidal gold image mapping database as sample data;

[0075] The sample data is input into the classification model to train the classification model and obtain the particle size range recognition model.

[0076] Exemplarily, the classification model uses the YOLOv8-lite lightweight model, which is commonly used in image classification and has high sensitivity to images.

[0077] Collect multiple sets of colloidal gold images with different particle sizes. For example, by preparing colloidal gold solutions with multiple different particle sizes and imaging them in the same imaging environment, multiple sets of colloidal gold solution images with different particle sizes can be obtained. Each set of colloidal gold solution images is marked with the corresponding particle size range information, such as 10-15 nm.

[0078] Color features in the image are extracted using existing image processing algorithms, such as the red-blue channel intensity ratio. Based on the red-blue channel intensity ratio and the annotated particle size, a correspondence between the red-blue channel intensity ratio and the particle size is established. For example, generally speaking, the red intensity of an image is negatively correlated with the particle size. Based on multiple sets of correspondences, a mapping database of image color features and particle size is established. Preferably, sample enhancement can be performed, such as by generating image variants using CycleGAN, to further increase the amount of sample data. A portion of the data, for example 80%, is used as training data, and the remaining 20% is used as test data.

[0079] The YOLOv8-lite model is trained using the training data. Specifically, the color features extracted from the image are used as input and the particle size is used as output to train the YOLOv8-lite model, so that the YOLOv8-lite model has the ability to classify particle sizes based on image color features.

[0080] After multiple iterations until the number of iterations is met, the classification accuracy of the model is verified using test data, and the particle size recognition results of the model are compared with the actual particle size corresponding to the image to determine the particle size recognition accuracy. When the accuracy requirements are met, for example, the recognition accuracy reaches 90%, the model is judged to meet the accuracy requirements. If not, the number of training times is increased and the model constraints are adjusted.

[0081] Through the above exemplary steps, a particle size range recognition model can be obtained, which takes the colloidal gold solution image as input and the particle size in the colloidal gold solution as output. During actual detection, the image of the colloidal gold solution to be tested is obtained by an imaging device and then input into the particle size range recognition model to obtain the particle size range of the colloidal gold to be tested.

[0082] S03. Compare the particle size range of the colloidal gold to be tested with the standard particle size to obtain a preliminary inspection result of the colloidal gold to be tested; for example, for a certain batch of colloidal gold solution, the required standard particle size range is 10-20 nm. If the particle size range recognition model is used to obtain the colloidal gold solution to be tested as 10-15 nm, or 15-20 nm, then the colloidal gold solution to be tested is determined to have passed the preliminary inspection.

[0083] S04, in response to the colloidal gold to be tested having a qualified initial test result, performing a secondary test on the colloidal gold to be tested;

[0084] The secondary detection includes:

[0085] Performing DLS particle size analysis, Zeta potential detection and electron microscope imaging on the colloidal gold to be tested, respectively, to obtain the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested;

[0086] Based on the uniformity of the particle size distribution, Zeta potential, and regularity of the particle size morphology of the colloidal gold to be measured, the detection result of the colloidal gold to be measured is obtained.

[0087] Specifically, the DLS particle size analysis of the colloidal gold to be measured includes:

[0088] Use a Nicomp Z3000 device to perform DLS particle size analysis on the colloidal gold to be measured. Through this device, the average particle size Particle size standard deviation σ and polydispersity index PDI of the colloidal gold to be measured can be obtained. Specifically:

[0089] Average particle size

[0090]

[0091] where n represents the number of particles, and d i represents the particle size of the particle numbered i.

[0092] Particle size standard deviation σ:

[0093]

[0094] Polydispersity index PDI:

[0095]

[0096] Calculate the particle size distribution uniformity result Uni of the colloidal gold to be measured according to the following formula:

[0097]

[0098] where w1, w2, and w3 respectively represent the initial first weight, second weight, and third weight. The applicant has found through actual verification that for the special object of colloidal gold solution, the average particle size is easily affected by abnormal particle sizes, and its characteristic of particle size distribution uniformity is relatively poor compared to the other two parameters. Therefore, the weight ratio is adjusted so that the weight ratio satisfies w1 < w2 ≤ w3 to make the particle size distribution uniformity result more accurate. d' represents the standard particle size. For example, for a colloidal gold solution with a standard particle size range of 10 - 20 nm, the standard particle size can be taken as the median 15 nm.

[0099] The applicant further found that in the colloidal gold solution of a polydisperse system, the performance of the average particle size for particle size distribution uniformity will be further weakened. At this time, more attention should be paid to the two indicators of standard deviation and polydispersity index. Therefore, in this embodiment, in order to make the calculation result of particle size distribution uniformity more accurate, the weights of the three indicators are dynamically adjusted as follows:

[0100] The standard deviation threshold thr of the particle size standard deviation σ is preset σ , and the polydispersity threshold thr of the polydispersity index PDI PDI , in response to the particle size standard deviation σ being not less than the standard deviation threshold thr σ and / or the polydispersity index PDI is not less than the polydispersity threshold thr PDI , reduce the first weight and increase the second weight and / or the third weight.

[0101] For example, the particle size standard deviation If the standard deviation is qualified, the standard deviation threshold can be set to thr σ for Taking the polydispersity index PDI≤0.25 as the polydispersity index qualification standard, the polydispersity index threshold thr PDI Set to 0.2.

[0102] When calculating the particle size distribution uniformity result Uni, if the calculated particle size standard deviation σ is greater than or equal to the standard deviation threshold, and / or the polydispersity index PDI is greater than or equal to the polydispersity threshold thr PDI , indicating that the polydispersity characteristics of the colloidal gold to be tested are obvious. For this type of colloidal gold, the average particle size ratio is easily affected by irregular particles, resulting in a weakening of the performance of the particle size distribution uniformity. Therefore, the first weight corresponding to the average particle size ratio is reduced, and the second and third weights corresponding to the standard deviation and polydispersity index are increased, so that the final particle size distribution uniformity result Uni calculation result is more accurate and targeted.

[0103] In the secondary detection, the zeta potential detection of the colloidal gold to be tested includes:

[0104] The standard interval of Zeta potential is set as c=[V min ,V max ], obtaining the Zeta potential of the colloidal gold to be tested;

[0105] If the Zeta potential of the colloidal gold to be tested does not belong to the standard interval c, the Zeta potential detection result of the colloidal gold to be tested is set to 0. If the Zeta potential of the colloidal gold to be tested belongs to the standard interval c, the Zeta potential of the colloidal gold to be tested is normalized based on the standard interval c to obtain the Zeta potential detection result V of the colloidal gold to be tested. Zeta .

[0106] For example, the preset standard interval c=(V min ,V max), if the Zeta potential of the colloidal gold to be tested is -10mv, then the Zeta potential test result is directly set to 0; if the Zeta potential of the colloidal gold to be tested is -40mv, then normalization is performed to obtain the potential test result:

[0107]

[0108] The normalized detection result of the Zeta potential of the colloidal gold to be tested can be calculated through the above steps. The closer the normalized detection result is to 1, the better the stability of the colloidal gold to be tested.

[0109] In the secondary detection, the electron microscope imaging analysis of the colloidal gold to be tested includes:

[0110] Obtain an electron microscope image of the colloidal gold to be tested, and based on the electron microscope image, obtain the long axis L of the particles in the colloidal gold to be tested. l and short axis L s , calculate the aspect ratio AR of each particle in the colloidal gold to be tested:

[0111] AR=L l / L s ;

[0112] Based on the aspect ratio AR of each particle obtained, the average aspect ratio of the particles in the colloidal gold to be tested is calculated.

[0113]

[0114] Wherein, n represents the number of particles in the colloidal gold to be tested, and i represents the particle number;

[0115] Aspect ratio extreme value AR max :

[0116] AR max =max(AR1, AR2...AR n ),

[0117] Proportion of alien shapes P irr :

[0118]

[0119] Among them, n irr It indicates the number of particles in the colloidal gold to be tested whose aspect ratio is greater than the aspect ratio threshold. For example, the aspect ratio threshold can be set to 1.2. When the aspect ratio of the particle is greater than 1.2, it is judged that the particle may be a long rod or elliptical shape.

[0120] Based on the average aspect ratio Aspect ratio extreme value AR max and the proportion of aliens Pirr , calculate the morphological regularity result MRI of the colloidal gold to be tested:

[0121]

[0122] Specifically, the colloidal gold solution to be tested is added dropwise to a silicon wafer or copper mesh, dried naturally, and then sprayed with gold. Then, an electron microscope image is obtained using a scanning electron microscope. For example, Figure 3 shown.

[0123] After obtaining the electron microscope image, the operator measures the long axis L of the particles in the colloidal gold to be tested. l and short axis L s , and then calculate the aspect ratio of each particle. The aspect ratio is used to measure the roundness of the particles. For particles in colloidal gold solution, their roundness is required to be high, avoiding rod-shaped, elliptical shapes, etc. Therefore, the aspect ratio of each particle is used as one of the detection indicators. Preferably, the aspect ratio of the particles can be automatically calculated using an image processing algorithm.

[0124] An exemplary embodiment is as follows:

[0125] Histogram equalization was used on electron microscopy images to optimize the distinction between particles and background, and Gaussian filtering was used to eliminate image noise. An adaptive threshold segmentation algorithm was used to convert grayscale images into binary images to distinguish particles from background. A watershed algorithm was used to separate touching particles through distance transformation and local extrema detection. Morphological operations were used to perform erosion-dilation on the adhesion regions, combined with skeleton extraction to segment the particles in the image.

[0126] The Feret diameter method is used to calculate the length of the major axis and minor axis of the particles, thereby realizing the automatic calculation of the major and minor axes of the particles and improving the detection efficiency.

[0127] After calculating the major axis length and minor axis length of each particle, the aspect ratio of each particle can be calculated, and then the average aspect ratio, the extreme aspect ratio and the proportion of irregular shapes can be obtained, and then the morphological regularity result MRI can be calculated. The closer the value is to 1, the more regular the particle morphology in the colloidal gold to be tested.

[0128] Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the test results of the colloidal gold to be tested include:

[0129] Calculate the detection index DR of the colloidal gold to be tested:

[0130] DR=w4*Uni+w5*(1-V Zeta )+w6*(1-MRI),

[0131] Among them, w4, w5 and w6 represent the fourth weight, fifth weight and sixth weight respectively.

[0132] If the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested are up to standard, and the test result DR of the colloidal gold to be tested is less than the preset test result threshold thr DR , the colloidal gold to be tested is qualified, otherwise the colloidal gold to be tested is unqualified.

[0133] After separately calculating the particle size distribution uniformity, Zeta potential, and particle size morphology regularity of the colloidal gold to be tested, due to the interrelationship and influence between the three indicators, in addition to judging whether the three indicators are qualified, it is also necessary to judge the overall performance of the colloidal gold to be tested in terms of stability and uniformity. Therefore, the overall detection index of the colloidal gold to be tested is calculated using the above formula. By rationally allocating weights and adjusting the influence of the three different indicators on the final detection index, the accuracy of the final test results can be further improved.

[0134] During the actual testing process, the applicant found that for colloidal gold solutions of different particle sizes, their application scenarios may be different. For example, the particle size of diagnostic colloidal gold solution is usually 20-40nm, and the particle size of labeled colloidal gold is usually 5-15nm. The particle size difference is large, and the sensitivity to various detection indicators is also different. For example, small-particle colloidal gold has a strong surface plasmon resonance effect, more active Brownian motion, and is more sensitive to Zeta potential. The weight of Zeta potential can be appropriately increased. However, large-particle solution has a certain steric hindrance effect of its particles, and its response to Zeta potential is weaker than that of small-particle solution. The weight of Zeta potential can be appropriately reduced.

[0135] Based on this, in order to improve the applicability and accuracy of the method of this embodiment in different particle sizes and different scenarios, the fourth weight, the fifth weight, and the sixth weight can be dynamically adjusted by a genetic algorithm. An exemplary process is as follows:

[0136] Weighted correlation of colloidal gold properties:

[0137] Particle size distribution uniformity: Colloidal gold with small particle size (such as 5-20nm) is more sensitive to particle size distribution uniformity, and its weight needs to be increased to control the impact of polydispersity on optical properties; large particle size allows a higher tolerance for particle size distribution uniformity.

[0138] Zeta potential: Small particle size is more sensitive to Zeta potential, so the weight of Zeta potential can be appropriately increased. However, due to the steric hindrance effect of the particles in large particle size solutions, the response to Zeta potential is weaker than that of small particle size solutions, so the weight of Zeta potential can be appropriately reduced.

[0139] Morphological regularity: The morphology of large-particle colloidal gold is easily affected by the preparation process (such as agglomeration), and the weight needs to be increased to suppress the interference of irregular-shaped particles on the detection signal.

[0140] The fourth weight, the fifth weight and the sixth weight are used as chromosomes of the genetic algorithm, the sum of the weights satisfies the constraint condition of being equal to 1, and the solution space is mapped using real number coding.

[0141] Natural selection mechanism: The fitness function comprehensively detects the index errors and eliminates the weight combinations that violate the physical laws (such as small particle size but the corresponding weight is too low).

[0142] Encoding and population initialization:

[0143] The weights are directly represented by real number encoding (such as 0.6, 0.2, 0.2), and the initial population randomly generates N groups of weights (for example, 50-200 groups). Normalization ensures that the sum of the weights of each group is equal to 1.

[0144] Constraint embedding: Illegal solutions are handled through a penalty function. For example, for small particle size samples, if the fourth weight corresponding to the uniformity of particle size distribution is less than 0.5, the fitness of the weight combination is deducted.

[0145] Fitness function design:

[0146] Error standardization is performed on the three indicators of particle size distribution uniformity, Zeta potential and particle size morphology regularity of the sample data:

[0147]

[0148] Among them, the target value and allowable deviation are set according to industry standards and enterprise product requirements.

[0149] Fitness calculation:

[0150] f(w)=w4*(1-E4)+w5*(1-E5)+w6*(1-E6),

[0151] By setting the fitness threshold, the weighted combinations that meet the fitness standards can be screened.

[0152] Genetic Operations:

[0153] Selection: A tournament model is used to retain individuals with high fitness while taking into account diversity. For example, three individuals are selected each time to compete for the best.

[0154] Crossover: Use the arithmetic crossover formula to generate offspring weights:

[0155] child=a*parent1+(1-a)*parent2,

[0156] a∈[0.2,0.8], randomly generated.

[0157] Mutation: Gaussian perturbation mutation is used to add N(0,0.05) noise to the random weights and renormalize them after mutation.

[0158] Dynamic parameter adjustment:

[0159] Adaptive mutation rate: As the number of iterations increases, the mutation rate decreases linearly from 0.1 to 0.01.

[0160] Elite retention: retain the best 5% individuals in each generation to prevent the loss of high-quality solutions.

[0161] Through the above steps, the genetic optimal solution for the weight combination under different particle sizes can be obtained. When the particle size range of the colloidal gold to be tested is obtained in actual detection, the median of the particle size range can be taken and input into the above genetic algorithm to obtain the optimal solution of the weight combination corresponding to the colloidal gold to be tested and update it, so that the final calculated detection index DR is more accurate.

[0162] This embodiment also provides a colloidal gold detection system for an antigen kit, comprising:

[0163] An imaging module, which is used to obtain an image of the colloidal gold to be tested;

[0164] a particle size recognition module, which is used to obtain the particle size range of the colloidal gold to be tested based on the image of the colloidal gold to be tested;

[0165] An initial inspection module is used to compare the particle size range of the colloidal gold to be tested with the standard particle size to obtain the initial inspection result of the colloidal gold to be tested;

[0166] A secondary detection module, configured to perform a secondary detection on the colloidal gold to be tested in response to a qualified initial detection result of the colloidal gold to be tested;

[0167] The secondary detection includes:

[0168] Performing DLS particle size analysis, Zeta potential detection and electron microscope imaging on the colloidal gold to be tested, respectively, to obtain the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested;

[0169] Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the detection result of the colloidal gold to be tested is obtained.

[0170] The system of this embodiment and the above-mentioned method belong to the same inventive concept, which can be understood with reference to the above and will not be described again here.

[0171] like Figure 2As shown, this embodiment also provides a computer device comprising a processor 101 and a memory 102 connected via bus signals. The memory 102 stores at least one instruction or at least one program. When loaded by the processor 101, the at least one instruction or at least one program executes the colloidal gold detection method of the antigen kit described above. The memory 102 can be used to store software programs and modules. The processor 101 executes various functional applications by running the software programs and modules stored in the memory 102. The memory 102 may primarily include a program storage area and a data storage area. The program storage area may store an operating system, application programs required for functions, etc.; the data storage area may store data generated during the use of the device, etc. Furthermore, the memory 102 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 102 may also include a memory controller to provide the processor 101 with access to the memory 102.

[0172] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal, server, or similar computing device. That is, the computer device may include a computer terminal, server, or similar computing device. The internal structure of the computer device may include, but is not limited to, a processor, a network interface, and a memory. The processor, network interface, and memory within the computer device may be connected via a bus or other means.

[0173] The processor 101 (also known as the CPU (Central Processing Unit)) is the computing and control core of the computer device. The network interface may optionally include a standard wired interface or a wireless interface (such as Wi-Fi, mobile communication interface, etc.). Memory 102 (Memory) is a memory device in the computer device used to store programs and data. It is understood that the memory 102 here can be a high-speed RAM storage device or a non-volatile memory device (such as at least one disk storage device); optionally, it can also be at least one storage device located remote from the processor 101. Memory 102 provides storage space that stores the operating system of the electronic device, which may include but is not limited to: Windows system (an operating system), Linux (an operating system), Android (a mobile operating system) system, iOS (a mobile operating system), etc., which are not limited in this application. In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor 101. These instructions may be one or more computer programs (including program code). In the embodiment of this specification, the processor 101 loads and executes one or more instructions stored in the memory 102 to implement the colloidal gold detection method of the antigen kit described in the above method embodiment.

[0174] The present application also provides a computer-readable storage medium having at least one instruction or at least one program stored thereon, which, when loaded by the processor 101, executes the colloidal gold detection method of the antigen kit described above. The computer-readable storage medium carries one or more programs, and when the one or more programs are executed, the method according to the present application is implemented.

[0175] According to an embodiment of the present application, a computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0176] In the description of this application, it should be understood that the directions or positional relationships indicated by directional words such as "front, back, up, down, left, right", "horizontal, vertical, horizontal" and "top, bottom" are usually based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description. Unless otherwise specified, these directional words do not indicate or imply that the device or element referred to must have a specific direction or be constructed and operated in a specific direction. Therefore, they cannot be understood as limiting the scope of protection of this application.

[0177] Those skilled in the art can make various other corresponding changes and deformations based on the technical solutions and concepts described above, and all of these changes and deformations should fall within the scope of protection of the claims of this application.

Claims

1. A colloidal gold detection method for an antigen kit, characterized in that: The following steps are involved: S01, obtaining an image of the colloidal gold to be tested; S02. Obtaining the particle size range of the colloidal gold to be tested according to the image of the colloidal gold to be tested; S03, comparing the particle size range of the colloidal gold to be tested with the standard particle size to obtain a preliminary test result of the colloidal gold to be tested; S04. If the initial test result of the colloidal gold to be tested is qualified, a secondary test is performed on the colloidal gold to be tested; The secondary detection includes: Performing DLS particle size analysis, Zeta potential detection and electron microscope imaging on the colloidal gold to be tested, respectively, to obtain the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested; Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the detection result of the colloidal gold to be tested is obtained.

2. The colloidal gold detection method of the antigen kit according to claim 1, characterized in that: Step S02 includes: Inputting the image of the colloidal gold to be tested into a particle size range recognition model to obtain the particle size range of the colloidal gold to be tested; The particle size range identification model is obtained by the following steps: Collect multiple sets of colloidal gold images of different particle sizes and establish a particle size-colloidal gold image mapping database as sample data; The sample data is input into the classification model to train the classification model and obtain the particle size range recognition model.

3. The colloidal gold detection method of the antigen kit according to claim 1, characterized in that: In the secondary detection, performing DLS particle size analysis on the colloidal gold to be tested includes: The average particle size of the colloidal gold to be tested is obtained by DLS particle size analysis The particle size standard deviation σ and the polydispersity index PDI are used to calculate the particle size distribution uniformity result Uni of the colloidal gold to be tested according to the following formula: Among them, w1, w2 and w3 represent the initial first weight, second weight and third weight respectively, satisfying w1 <w2≤w3,d ' Indicates standard particle size; The standard deviation threshold thr of the particle size standard deviation σ is preset σ , and the polydispersity threshold thr of the polydispersity index PDI PDI , in response to the particle size standard deviation σ being not less than the standard deviation threshold thr σ and / or the polydispersity index PDI is not less than the polydispersity threshold thr PDI , reduce the first weight and increase the second weight and / or the third weight.

4. The colloidal gold detection method of the antigen kit according to claim 3, characterized in that: In the secondary detection, the zeta potential detection of the colloidal gold to be tested includes: The standard interval of Zeta potential is set as c=(V min ,V max ), obtaining the Zeta potential of the colloidal gold to be tested; If the Zeta potential of the colloidal gold to be tested does not belong to the standard interval c, the Zeta potential detection result of the colloidal gold to be tested is set to 0. If the Zeta potential of the colloidal gold to be tested belongs to the standard interval c, the Zeta potential of the colloidal gold to be tested is normalized based on the standard interval c to obtain the Zeta potential detection result V of the colloidal gold to be tested. Zeta .

5. The colloidal gold detection method of the antigen kit according to claim 4, characterized in that: In the secondary detection, the electron microscope imaging analysis of the colloidal gold to be tested includes: Obtain an electron microscope image of the colloidal gold to be tested, and based on the electron microscope image, obtain the long axis L of the particles in the colloidal gold to be tested. l and short axis L s , calculate the aspect ratio AR of each particle in the colloidal gold to be tested: AR=L l / L s ; Based on the aspect ratio AR of each particle obtained, the average aspect ratio of the particles in the colloidal gold to be tested is calculated. Wherein, n represents the number of particles in the colloidal gold to be tested, and i represents the particle number; Aspect ratio extreme value AR max : AR max =max(AR1、AR2...AR n ), Proportion of alien shapes P irr : Among them, n irr It indicates the number of particles with aspect ratio greater than the aspect ratio threshold in the colloidal gold to be tested, Based on the average aspect ratio Aspect ratio extreme value AR max and the proportion of aliens P irr , calculate the morphological regularity result MRI of the colloidal gold to be tested:

6. The colloidal gold detection method of the antigen kit according to claim 5, characterized in that: Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the test results of the colloidal gold to be tested include: Calculate the detection index DR of the colloidal gold to be tested: <h2 style=";text-align:left;direction:ltr">DR = w4*Uni+w5*(1-V<h2 style=";text-align:left;direction:ltr"> Zeta <h2 style=";text-align:left;direction:ltr"> )+w6*(1-MRI), Among them, w4, w5 and w6 represent the fourth weight, fifth weight and sixth weight respectively. If the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested are up to standard, and the test result DR of the colloidal gold to be tested is less than the preset test result threshold thr DR , the colloidal gold to be tested is qualified, otherwise the colloidal gold to be tested is unqualified.

7. The colloidal gold detection method of the antigen kit according to claim 6, characterized in that: Calculating the detection index DR of the colloidal gold to be tested also includes: constructing a genetic algorithm regarding the fourth weight, the fifth weight, and the sixth weight; When calculating the detection index DR of the colloidal gold to be tested, according to the particle size range of the colloidal gold to be tested obtained in step S02, the optimal solutions of the fourth weight, the fifth weight and the sixth weight corresponding to the particle size range of the colloidal gold to be tested are obtained and updated through the genetic algorithm.

8. A colloidal gold detection system for an antigen kit, characterized in that: include: An imaging module, which is used to obtain an image of the colloidal gold to be tested; a particle size recognition module, which is used to obtain the particle size range of the colloidal gold to be tested based on the image of the colloidal gold to be tested; An initial inspection module is used to compare the particle size range of the colloidal gold to be tested with the standard particle size to obtain the initial inspection result of the colloidal gold to be tested; A secondary detection module, which is used to perform a secondary detection on the colloidal gold to be tested if the primary detection result of the colloidal gold to be tested is qualified; The secondary detection includes: Performing DLS particle size analysis, Zeta potential detection and electron microscope imaging on the colloidal gold to be tested, respectively, to obtain the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the colloidal gold to be tested; Based on the particle size distribution uniformity, Zeta potential and particle size morphology regularity of the obtained colloidal gold to be tested, the detection result of the colloidal gold to be tested is obtained.

9. A computer device comprising a processor and a memory connected in a signal connection, characterized in that: The memory stores at least one instruction or at least one program, and when loaded by the processor, the at least one instruction or the at least one program executes the colloidal gold detection method of the antigen kit according to any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon at least one instruction or at least one program, characterized in that: When the at least one instruction or the at least one program is loaded by the processor, the colloidal gold detection method of the antigen kit according to any one of claims 1 to 7 is executed.

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