Jalal Uddin M, Kim Sang C, Shim Joon S
Bio IT Convergence Laboratory, Department of Electronic Convergence Engineering, Kwangwoon University, Seoul, South Korea.
Biomed Opt Express. 2017 Jun 16;8(7):3317-3328. doi: 10.1364/BOE.8.003317. eCollection 2017 Jul 1.
A novel and rapid analysis technique using histogram has been proposed for the colorimetric quantification of blood hematocrits. A smartphone-based "Histogram" app for the detection of hematocrits has been developed integrating the smartphone embedded camera with a microfluidic chip via a custom-made optical platform. The developed histogram analysis shows its effectiveness in the automatic detection of sample channel including auto-calibration and can analyze the single-channel as well as multi-channel images. Furthermore, the analyzing method is advantageous to the quantification of blood-hematocrit both in the equal and varying optical conditions. The rapid determination of blood hematocrits carries enormous information regarding physiological disorders, and the use of such reproducible, cost-effective, and standard techniques may effectively help with the diagnosis and prevention of a number of human diseases.
一种使用直方图的新型快速分析技术已被提出用于比色法定量血液血细胞比容。通过定制光学平台将智能手机嵌入式摄像头与微流控芯片集成，开发了一种基于智能手机的用于检测血细胞比容的“直方图”应用程序。所开发的直方图分析在包括自动校准的样品通道自动检测中显示出有效性，并且可以分析单通道以及多通道图像。此外，该分析方法在相等和变化的光学条件下对血液血细胞比容的定量均具有优势。快速测定血液血细胞比容携带有关生理紊乱的大量信息，并且使用这种可重复、经济高效且标准的技术可能有效地帮助诊断和预防多种人类疾病。
