Immunity chromatography test strip quantitation detection method based on deep reliability network

Abstract

The invention discloses an immunity chromatography test strip quantitation detection method based on a deep reliability network. The method comprises the following steps of collecting several immunity chromatography test strip images of different concentration sample liquids as training images and extracting a target area including a detection line and a quality control line after pretreatment; taking a pixel as a sample unit, selecting a proper network input characteristic quantity and calculating an input quantity of each sample so as to acquire the training sample; constructing the deep reliability network based on a restricted Boltzmann machine, inputting the training sample and completing training of the deep reliability network; preprocessing a sample liquid test strip image to be detected , calculating an input characteristic quantity and acquiring a test sample; inputting the test sample into the trained deep reliability network so as to acquire an image segmentation result of a sample liquid to be detected; and according to the image segmentation result, calculating a characteristic quantity and acquiring a quantitative detection concentration value. By using the method in the invention, a good image segmentation result can be acquired, concentration identification accuracy of the sample liquid to be detected is increased, and high applicability and robustness are possessed.

Description

technical field [0001] The invention relates to the technical field of quantitative testing of immunochromatographic test strips, in particular to a quantitative detection method of immunochromatographic test strips based on a deep belief network. Background technique [0002] Immunochromatographic assay is a rapid diagnostic technique, which completes the specific reaction of antigen and antibody in the chromatography process, so as to achieve the purpose of detection. Immunochromatography has become the most commonly used method because it conforms to the development trend of "bedside test" advocated by modern medicine, has strong specificity, simple operation method, high efficiency, single-person detection and no pollution. Flow immunochromatographic rapid detection method. [0003] In the current application, since the background of the test strip is interfered by the water, blood, marker nano-gold and inhomogeneous penetration in the liquid to be tested, most of them ...

AI Technical Summary

Problems solved by technology

[0003] In the current application, since the background of the test strip is interfered by the water, blood, marker nano-gold and inhomogeneous penetration in the liquid to be tested, most of them are only suitable for qualitative or semi-quantitative detection, and direct naked eye interpretation is generally used, making its application limited in scope

Moreover, the qualitative or semi-quantitative test results provide less information, which cannot meet the requirements of practical applications.

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