智能手机应用
电话
智能手机
计算机科学
计算机视觉
人机交互
多媒体
电信
语言学
哲学
作者
Tian Fook Kong,Jae Bem You,Biao Zhang,Brian Nguyen,Farhang Tarlan,Keith Jarvi,David Sinton
出处
期刊:Lab on a Chip
[Royal Society of Chemistry]
日期:2019-01-01
卷期号:19 (11): 1991-1999
被引量:67
摘要
The combination of smartphone technology and colorimetric paper-based microfluidics can enable simple, inexpensive diagnostics. However, imaging colorimetric diagnostic results via smartphones currently requires accessories to mitigate the influence of variability in surrounding lighting conditions. Here, we present an accessory-free smartphone-based colorimetric imaging method that enlists the built-in LED light source to dominate ambient lighting in combination with background and colour rescaling. This simple approach enables quantitative measurements from paper-based tests by compensating for different environmental lighting conditions and is universally applicable with respect to phone models and manufacturers. We demonstrate the method with three dominant phone makes and models in a cell counting application with a paper-based yeast detection device. The detection results are in good agreement with cell counting using automated cell counters. Eliminating the need for make/model specific accessories, this approach helps realize the potential for low-cost, broadly applicable paper-based diagnostics.
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