Department of Chemistry, Tufts University, 62 Talbot Avenue, Medford, MA, 021551, USA.
Sci Rep. 2020 Jul 9;10(1):11284. doi: 10.1038/s41598-020-67639-6.
Development of paper-based microfluidic devices that perform colorimetric measurements requires quantitative image analysis. Because the design geometries of paper-based microfluidic devices are not standardized, conventional methods for performing batch measurements of regularly spaced areas of signal intensity, such as those for well plates, cannot be used to quantify signal from most of these devices. To streamline the device development process, we have developed an open-source program called ColorScan that can automatically recognize and measure signal-containing zones from images of devices, regardless of output zone geometry or spatial arrangement. This program, which measures color intensity with the same accuracy as standard manual approaches, can rapidly process scanned device images, simultaneously measure identified output zones, and effectively manage measurement results to eliminate requirements for time-consuming and user-dependent image processing procedures.
开发用于比色测量的基于纸张的微流控设备需要进行定量图像分析。由于基于纸张的微流控设备的设计几何形状没有标准化，因此无法使用传统的方法来批量测量信号强度规则间隔区域，例如用于孔板的方法。为了简化设备开发过程，我们开发了一个名为 ColorScan 的开源程序，该程序可以自动识别和测量设备图像中的信号包含区域，而不管输出区域的几何形状或空间排列如何。该程序可以与标准手动方法一样准确地测量颜色强度，可以快速处理扫描的设备图像，同时测量识别的输出区域，并有效地管理测量结果，从而消除了对耗时且依赖用户的图像处理过程的需求。
