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Light distribution modulated diffuse reflectance spectroscopy
Author(s) -
Pin Yuan Huang,
Chun Yu Chien,
Chia Rong Sheu,
Yu Wen Chen,
Sheng Hao Tseng
Publication year - 2016
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.7.002118
Subject(s) - diffuse reflectance infrared fourier transform , optics , materials science , diffuse reflection , scattering , spectroscopy , light scattering , imaging phantom , detector , monte carlo method , absorption (acoustics) , diffuse optical imaging , optoelectronics , physics , chemistry , tomography , biochemistry , statistics , mathematics , photocatalysis , quantum mechanics , catalysis
Typically, a diffuse reflectance spectroscopy (DRS) system employing a continuous wave light source would need to acquire diffuse reflectances measured at multiple source-detector separations for determining the absorption and reduced scattering coefficients of turbid samples. This results in a multi-fiber probe structure and an indefinite probing depth. Here we present a novel DRS method that can utilize a few diffuse reflectances measured at one source-detector separation for recovering the optical properties of samples. The core of innovation is a liquid crystal (LC) cell whose scattering property can be modulated by the bias voltage. By placing the LC cell between the light source and the sample, the spatial distribution of light in the sample can be varied as the scattering property of the LC cell modulated by the bias voltage, and this would induce intensity variation of the collected diffuse reflectance. From a series of Monte Carlo simulations and phantom measurements, we found that this new light distribution modulated DRS (LDM DRS) system was capable of accurately recover the absorption and scattering coefficients of turbid samples and its probing depth only varied by less than 3% over the full bias voltage variation range. Our results suggest that this LDM DRS platform could be developed to various low-cost, efficient, and compact systems for in-vivo superficial tissue investigation.

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