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Proceedings Paper

Near-infrared fluorescence imaging with a mobile phone (Conference Presentation)
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Paper Abstract

Mobile phone cameras employ sensors with near-infrared (NIR) sensitivity, yet this capability has not been exploited for biomedical purposes. Removing the IR-blocking filter from a phone-based camera opens the door to a wide range of techniques and applications for inexpensive, point-of-care biophotonic imaging and sensing. This study provides proof of principle for one of these modalities – phone-based NIR fluorescence imaging. An imaging system was assembled using a 780 nm light source along with excitation and emission filters with 800 nm and 825 nm cut-off wavelengths, respectively. Indocyanine green (ICG) was used as an NIR fluorescence contrast agent in an ex vivo rodent model, a resolution test target and a 3D-printed, tissue-simulating vascular phantom. Raw and processed images for red, green and blue pixel channels were analyzed for quantitative evaluation of fundamental performance characteristics including spectral sensitivity, detection linearity and spatial resolution. Mobile phone results were compared with a scientific CCD. The spatial resolution of CCD system was consistently superior to the phone, and green phone camera pixels showed better resolution than blue or green channels. The CCD exhibited similar sensitivity as processed red and blue pixels channels, yet a greater degree of detection linearity. Raw phone pixel data showed lower sensitivity but greater linearity than processed data. Overall, both qualitative and quantitative results provided strong evidence of the potential of phone-based NIR imaging, which may lead to a wide range of applications from cancer detection to glucose sensing.

Paper Details

Date Published: 19 April 2017
PDF: 1 pages
Proc. SPIE 10055, Optics and Biophotonics in Low-Resource Settings III, 100550Q (19 April 2017); doi: 10.1117/12.2253878
Show Author Affiliations
Pejhman Ghassemi, U.S. Food and Drug Administration (United States)
Bohan Wang, Univ. of Maryland, College Park (United States)
Jianting Wang, U.S. Food and Drug Administration (United States)
Quanzeng Wang, U.S. Food and Drug Administration (United States)
Yu Chen, Univ. of Maryland, College Park (United States)
T. Joshua Pfefer, U.S. Food and Drug Administration (United States)


Published in SPIE Proceedings Vol. 10055:
Optics and Biophotonics in Low-Resource Settings III
David Levitz; Aydogan Ozcan; David Erickson, Editor(s)

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