BioMicroSystems Laboratory, School of Electronic and Computing Systems, University of Cincinnati, Cincinnati, OH 45221, USA.
Lab Chip. 2012 Nov 7;12(21):4240-3. doi: 10.1039/c2lc40741h.
Paper-based immunoassays are becoming powerful and low-cost diagnostic tools, especially in resource-limited settings. Inexpensive methods for quantifying these assays have been shown using desktop scanners, which lack portability, and cameras, which suffer from the ever changing ambient light conditions. In this work, we introduce a novel approach of quantifying colors of colorimetric diagnostic assays with a smartphone that allows high accuracy measurements in a wide range of ambient conditions, making it a truly portable system. Instead of directly using the red, green, and blue (RGB) intensities of the color images taken by a smartphone camera, we use chromaticity values to construct calibration curves of analyte concentrations. We demonstrate the high accuracy of this approach in pH measurements with linear response ranges of 1-12. These results are comparable to those reported using a desktop scanner or silicon photodetectors. To make the approach adoptable under different lighting conditions, we developed a calibration technique to compensate for measurement errors due to variability in ambient light. This technique is applicable to a number of common light sources, such as sun light, fluorescent light, or smartphone LED light. Ultimately, the entire approach can be integrated in an "app" to enable one-click reading, making our smartphone based approach operable without any professional training or complex instrumentation.
基于纸张的免疫分析正在成为强大且低成本的诊断工具,特别是在资源有限的环境中。已经证明,使用台式扫描仪和相机可以廉价地对这些分析进行定量,其中台式扫描仪便携性差,而相机则受到不断变化的环境光条件的影响。在这项工作中,我们引入了一种使用智能手机定量比色诊断分析物的新方法,该方法允许在广泛的环境条件下进行高精度测量,使其成为真正便携的系统。我们不是直接使用智能手机摄像头拍摄的彩色图像的红、绿、蓝 (RGB) 强度,而是使用色度值来构建分析物浓度的校准曲线。我们在 pH 测量中证明了该方法的高精度,其线性响应范围为 1-12。这些结果与使用台式扫描仪或硅光电探测器报告的结果相当。为了使该方法能够在不同的照明条件下采用,我们开发了一种校准技术来补偿由于环境光变化引起的测量误差。该技术适用于许多常见的光源,如阳光、荧光灯或智能手机 LED 灯。最终,整个方法可以集成到一个“应用程序”中,实现一键读取,使我们的基于智能手机的方法无需任何专业培训或复杂仪器即可操作。