Frantz Eric, Li Hua, Steckl Andrew J
Nanoelectronics Laboratory, Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, 45221-0030, USA.
Nanoelectronics Laboratory, Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, 45221-0030, USA.
Biosens Bioelectron. 2020 Sep 1;163:112300. doi: 10.1016/j.bios.2020.112300. Epub 2020 May 18.
We present a rapid and quantitative point-of-care (PoC) system based on a smartphone application that is capable of accurately tracking the flow of red blood cells (RBCs) through a no-reaction lateral flow assay (nrLFA) device. Utilizing only the camera feed from the smartphone and built-in image processing, the nrLFA is identified and RBC fluid flow distances and rates are recorded in parallel with the test without the need of any custom hardware or enclosure. We demonstrated the application by first measuring and then calculating hematocrit (Hct) values of whole blood samples with nominal content of 28%, 35%, 40%, and 45% Hct on the nrLFA platform. The PoC system was able to accurately measure (to within 1% Hct of nominal values) whole blood Hct in ~10-20 s after sample dispensing.
我们展示了一种基于智能手机应用程序的快速定量即时检测（PoC）系统，该系统能够通过无反应侧向流动分析（nrLFA）设备准确跟踪红细胞（RBC）的流动。仅利用智能手机的摄像头输入和内置图像处理功能，即可识别nrLFA，并在测试过程中并行记录RBC流体流动距离和速率，无需任何定制硬件或外壳。我们通过首先在nrLFA平台上测量然后计算标称血细胞比容（Hct）含量分别为28%、35%、40%和45%的全血样本的Hct值来演示该应用。该PoC系统能够在样本分配后约10 - 20秒内准确测量（误差在标称值的1% Hct以内）全血Hct。
