Fluorescence immunochromatography detection method and device based on sparse self-coding neural network

Abstract

The invention relates to a fluorescence immunochromatography detection method and device based on a sparse self-coding neural network. The device comprises a photoelectric signal detection unit, a mechanical scanning unit, an STM32 microprocessor control unit, and a computer in which a fluorescence detection sparse self-coding neural network module and a fluorescence immunochromatography detection database are established, wherein the mechanical scanning unit controls the movement of a fluorescence test strip; the photoelectric signal detection unit detects the fluorescence intensity change of the moving fluorescence test strip and converts the fluorescence intensity change into electrical signal data; then the electrical signal data is transmitted to a computer through the STM32 microprocessor control unit, so as to be subjected to filtering processing, and background interference of a base line is eliminated; data analysis is performed through the fluorescence detection sparse self-coding neural network module and the fluorescence immunochromatography detection database is performed, so that a fluorescence immunochromatography detection result is obtained. According to the method, characteristic value extraction of detection data is avoided, data can be directly detected, character representation of data is learnt in a layered mode, and the fluorescence immunochromatography detection effect is improved.

Description

technical field [0001] The technical field of fluorescence immunochromatography detection of flow measurement of the present invention particularly relates to a method and device for fluorescence immunochromatography detection based on sparse self-encoded neural network. Background technique [0002] Fluorescence immunochromatography is a detection method based on lateral flow immunoassay (LFIA) and using fluorescent nanoparticles as tracer markers. The method has the advantages of high sensitivity and specificity, good repeatability and stability, wide dynamic detection range, immediate results and suitable for single-person determination. Fluorescence immunochromatography, as a rapid detection method, can be applied in many fields such as biomedicine, clinical, food safety, etc. The research of its detection technology is of great significance. [0003] At present, the clinically measurable items of fluorescent immunochromatography include cardiac troponin I, myoglobin, c...

AI Technical Summary

Problems solved by technology

[0004] Fluorescence immunochromatography detection technology mainly utilizes the fluorescence spectrum characteristics of samples. At present, fluorescence immunochromatography detection technology mainly adopts two methods: photoelectric detection and image detection. In the fluorescence immunochromatography detection of image detection, image feature selection is mostly gray The data algorithm analysis is carried out according to the degree value, and the detection accuracy is lower than the photoelectric detection method

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