计算机科学
图像处理
检出限
软件
智能手机应用
嵌入式系统
人工智能
计算机视觉
生物医学工程
图像(数学)
工程类
化学
色谱法
多媒体
程序设计语言
作者
Yu Tian,Lili Zhang,Hanjie Wang,Wang Ji,Ziyu Zhang,Yingying Zhang,Zhengchun Yang,Zhijuan Cao,Shufang Zhang,Jianmei Chang
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2019-07-01
卷期号:4 (7): 1873-1880
被引量:22
标识
DOI:10.1021/acssensors.9b00752
摘要
As a marker of malignant tumors, miRNA is closely related to the occurrence and metastasis of tumors. How to achieve rapid and sensitive real-time detection is important for clinical prevention and treatment of cancer. In this study, an intelligent detection platform based on smartphone image processing technology made point-of-care testing a reality. This new smart approach could detect multiple targets simultaneously and sensitively. Hydrogel microparticles of different coding modes (shapes, numbers) were prepared by flow lithography to detect different miRNAs. After sandwich immunoassays, different shapes of hydrogels showed different fluorescence intensities depending on their targets. Images were captured by a smartphone and then analyzed by image recognition processing software installed on the smartphone. The concentration of miRNA was obtained within 10 s. The entire reaction process did not exceed 2 h. This intelligent and portable detection platform for miRNAs was reliable and the limit of detection reached the femtomole level. This work provided a demonstration of intelligent, portable, real-time detection of tumor markers.
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