Literature DB >> 32568698

Quantitative hematocrit measurement of whole blood in a point-of-care lateral flow device using a smartphone flow tracking app.

Eric Frantz1, Hua Li1, Andrew J Steckl2.   

Abstract

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Blood; Hematocrit; Lateral flow; Point-of-care; Smartphone

Mesh:

Year:  2020        PMID: 32568698     DOI: 10.1016/j.bios.2020.112300

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  1 in total

1.  Touchable cell biophysics property recognition platforms enable multifunctional blood smart health care.

Authors:  Longfei Chen; Yantong Liu; Hongshan Xu; Linlu Ma; Yifan Wang; Fang Wang; Jiaomeng Zhu; Xuejia Hu; Kezhen Yi; Yi Yang; Hui Shen; Fuling Zhou; Xiaoqi Gao; Yanxiang Cheng; Long Bai; Yongwei Duan; Fubing Wang; Yimin Zhu
Journal:  Microsyst Nanoeng       Date:  2021-12-08       Impact factor: 7.127

  1 in total

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