Hyperspectral imaging realized by unmodified smartphone
Qinghua He1, Zhiyuan Sun1, Yuandong Li1, Wendy Wang1, and Ruikang K. Wang1,2
1Department of Bioengineering, University of Washington, Seattle, WA 98105, USA
2Department of Ophthalmology, University of Washington, Seattle, WA98105, USA
Abstract
We propose a novel method and system that utilizes a popular smartphone to realize hyperspectral, autofluorescence and photoplethysmography imaging for analyzing skin morphological features and monitoring hemodynamics. The imaging system works based on a built-in RGB camera and flashlight on the smartphone. We apply Wiener estimation to transform the acquired RGB-mode images and videos into “pseudo”-hyperspectral images in visible range. The processing method uses weighted subtractions between wavebands to extract absorption information caused by specific chromophores and fluorophores within skin tissue. Based on the extracted absorption information of hemoglobin, we conduct real-time monitoring experiments in the skin to measure heart rate and to observe skin activities during a vascular occlusion event. Compared with expensive hyperspectral imaging systems, the smartphone-based system delivers similar results but with very-high imaging resolution. Besides, it is easy to operate, very cost-effective and has a wider customer base. The use of an unmodified smartphone to realize hyperspectral imaging promises a possibility to bring a hyperspectral analysis of skin out from laboratory and clinical wards to daily life, which may also impact on healthcare in low resource settings and rural areas.
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Qinghua He
University of Washington
United States
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