Share Email Print
cover

Proceedings Paper

A computational paper-based point-of-care assay for high-sensitivity c-reactive protein quantification (Conference Presentation)
Author(s): Zachary Ballard; Hyou-Arm Joung; Artem Goncharov; Jesse Liang; Karina Nugroho; Dino Di Carlo; Omai Garner; Aydogan Ozcan

Paper Abstract

We demonstrate a low-cost and rapid paper-based vertical flow assay (VFA) for quantification of C-Reactive Protein (CRP). We use deep learning-based analysis of this VFA and its multiplexed sensing channels to achieve accurate quantification, as well as to overcome fabrication and operational variations along with limitations borne out of the hook effect, validating our results with clinical samples. This computational point-of-care test could be used for stratification of patients into cardiovascular disease risk assessment groups following standard clinical cut-offs. It can also broadly serve as a computational sensing platform for future point-of-care sensing and diagnostic applications.

Paper Details

Date Published: 9 March 2020
PDF
Proc. SPIE 11230, Optics and Biophotonics in Low-Resource Settings VI, 112300C (9 March 2020); doi: 10.1117/12.2546649
Show Author Affiliations
Zachary Ballard, Univ. of California, Los Angeles (United States)
Hyou-Arm Joung, Univ. of California, Los Angeles (United States)
Artem Goncharov, Univ. of California, Los Angeles (United States)
Jesse Liang, Univ. of California, Los Angeles (United States)
Karina Nugroho, Univ. of California, Los Angeles (United States)
Dino Di Carlo, Univ. of California, Los Angeles (United States)
Omai Garner, Univ. of California, Los Angeles (United States)
Aydogan Ozcan, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 11230:
Optics and Biophotonics in Low-Resource Settings VI
David Levitz; Aydogan Ozcan, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray