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Proceedings Paper

Google glass based immunochromatographic diagnostic test analysis
Author(s): Steve Feng; Romain Caire; Bingen Cortazar; Mehmet Turan; Andrew Wong; Aydogan Ozcan
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Paper Abstract

Integration of optical imagers and sensors into recently emerging wearable computational devices allows for simpler and more intuitive methods of integrating biomedical imaging and medical diagnostics tasks into existing infrastructures. Here we demonstrate the ability of one such device, the Google Glass, to perform qualitative and quantitative analysis of immunochromatographic rapid diagnostic tests (RDTs) using a voice-commandable hands-free software-only interface, as an alternative to larger and more bulky desktop or handheld units. Using the built-in camera of Glass to image one or more RDTs (labeled with Quick Response (QR) codes), our Glass software application uploads the captured image and related information (e.g., user name, GPS, etc.) to our servers for remote analysis and storage. After digital analysis of the RDT images, the results are transmitted back to the originating Glass device, and made available through a website in geospatial and tabular representations. We tested this system on qualitative human immunodeficiency virus (HIV) and quantitative prostate-specific antigen (PSA) RDTs. For qualitative HIV tests, we demonstrate successful detection and labeling (i.e., yes/no decisions) for up to 6-fold dilution of HIV samples. For quantitative measurements, we activated and imaged PSA concentrations ranging from 0 to 200 ng/mL and generated calibration curves relating the RDT line intensity values to PSA concentration. By providing automated digitization of both qualitative and quantitative test results, this wearable colorimetric diagnostic test reader platform on Google Glass can reduce operator errors caused by poor training, provide real-time spatiotemporal mapping of test results, and assist with remote monitoring of various biomedical conditions.

Paper Details

Date Published: 9 March 2015
PDF: 9 pages
Proc. SPIE 9332, Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics, 93320M (9 March 2015); doi: 10.1117/12.2077881
Show Author Affiliations
Steve Feng, Univ. of California, Los Angeles (United States)
Romain Caire, Univ. of California, Los Angeles (United States)
Bingen Cortazar, Univ. of California, Los Angeles (United States)
Mehmet Turan, Univ. of California, Los Angeles (United States)
Andrew Wong, Univ. of California, Los Angeles (United States)
Aydogan Ozcan, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 9332:
Optical Diagnostics and Sensing XV: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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