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

在线阅读下载全文

作  者:黄旭辉 郑璐璐 Xuhui Huang;Lulu Zheng(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai)

机构地区:[1]上海理工大学,光电信息与计算机工程学院,上海

出  处:《建模与仿真》2025年第3期75-82,共8页Modeling and Simulation

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。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 pa-per,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 re-moved by Gaussian filter,the background subtraction is performed,and the peak values of the de-tection 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 immunochroma-tographic imaging detection system had good repeatability,CV<3.2%,and R2 of the fitted standard curve could reach 0.999,realizing rapid quantitative detection.

关 键 词:荧光免疫层析 智能手机 成像系统 定量检测 

分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象