基于MATLAB荧光试纸图像的定量分析研究

The Quantitative Analysis of Fluorescent Test Strip Images Based on MATLAB

摘要: 荧光免疫层析法(Fluorescence immunochromatography Assay, FICA)作为一项新兴技术，具有灵敏度高、稳定性强、特异性强等优点，广泛应用于医学检测、食品安全和环境监测等领域。基于图像处理的FICA阅读器因其操作简单、便携性和检测速度快而满足了即时检测的需求。本文提出了一种基于MATLAB的荧光试纸成像检测系统，采用智能手机采集荧光试纸条图像信息，高斯滤波去除背景噪声，执行背景减法，计算出检测线(T线)和质控线(C线)的峰值，最后根据特征值(T/C)，实现对荧光试纸条浓度的定量检测。本文采用不同浓度的荧光免疫层析试纸条进行重复性验证，实验结果显示，荧光免疫层析试条成像检测系统的重复性好，CV < 3.2%，拟合出的标准曲线的R²可达0.999，实现了快速定量化检测。

Abstract: Fluorescence immunochromatography (FICA) Assay, as an emerging technology, has the advantages of high sensitivity, strong stability and strong specificity, and is widely used in medical detection, food safety and environmental monitoring. FICA reader based on image processing meets the need of instant detection because of its simple operation, portability and fast detection speed. In this paper, a fluorescence test strip imaging detection system based on MATLAB is proposed. The image information of the fluorescence test strip is collected by smart phone, the background noise is removed by Gaussian filter, the background subtraction is performed, and the peak values of the detection line (T line) and the quality control line (C line) are calculated. Finally, the concentration of the fluorescence test strip is quantitatively detected according to the characteristic value (T/C). In this paper, fluorescence immunochromatographic strips of different concentrations were used for repeatability verification. The experimental results showed that the fluorescence immunochromatographic imaging detection system had good repeatability, CV < 3.2%, and R² of the fitted standard curve could reach 0.999, realizing rapid quantitative detection.