Smartphone based spectrometry platform for mobile health: from spectrometer to multispectral imager

Chen Chen; Hui Ding; Haicheng Zhao; Ying Yue; Chunyang Han

doi:10.1117/12.2547982

20 December 2019 Smartphone based spectrometry platform for mobile health: from spectrometer to multispectral imager

Chen Chen, Hui Ding, Haicheng Zhao, Ying Yue, Chunyang Han

Proceedings Volume 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019); 1120924 (2019) https://doi.org/10.1117/12.2547982
Event: Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 2019, Xi'an, China

Abstract

Mobile health (m-Health) has emerged as a trend in modern health care, which request point-of-care test be done near patients’ side. In this paper, we report on smartphone based spectrometry platform including optical spectrometer (OS) and multispectral imager (MSI), aiming to fill the translational gap in spectroscopy technology from central laboratory to clinical field. Here, combining its integrated CMOS sensor with a simple dispersion element, smartphone turns into a smart spectrometer that is capable to detect both of the absorption and fluorescence spectrum of the sample. The proposed smartphone OS is an effective platform for biomarker quantification, which have been applied to quantitatively analyze the glucose levevl in urine. Besides, we established a smartphone MSI based on a bio-inspired MSI chip, which could image the sample in spatial and spectral domain simultaneously. To demonstrate the application potential of the smartphone MSI, it was applied to in-vivo skin lesion diagnose. The chemical analysis capability, portability and costeffectiveness endow the smartphone spectrometry platform a promising analytical tool for m-Health diagnose, from in vivo pathological diagnose to bio-chemical marker quantification.

Citation Download Citation

Chen Chen, Hui Ding, Haicheng Zhao, Ying Yue, and Chunyang Han "Smartphone based spectrometry platform for mobile health: from spectrometer to multispectral imager", Proc. SPIE 11209, Eleventh International Conference on Information Optics and Photonics (CIOP 2019), 1120924 (20 December 2019); https://doi.org/10.1117/12.2547982

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