Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141991
Title: Geometry-dependent spectroscopic contrast in deep tissues
Authors: Ge, Xin
Tang, Hongying
Wang, Xianghong
Liu, Xinyu
Chen, Si
Wang, Nanshuo
Ni, Guangming
Yu, Xiaojun
Chen, Shufen
Liang, Haitao
Bo, En
Wang, Lulu
Braganza, Cilwyn Shalitha
Xu, Chenjie
Rowe, Steven M.
Tearney, Guillermo J.
Liu, Linbo
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Ge, X., Tang, H., Wang, X., Liu, X., Chen, S., Wang, N., . . . Liu, L. (2019). Geometry-dependent spectroscopic contrast in deep tissues. iScience, 19, 965-975. doi:10.1016/j.isci.2019.08.046
Journal: iScience
Abstract: Nano-structures of biological systems can produce diverse spectroscopic effects through interactions with broadband light. Although structured coloration at the surface has been extensively studied, natural spectroscopic contrasts in deep tissues are poorly understood, which may carry valuable information for evaluating the anatomy and function of biological systems. Here we investigated the spectroscopic characteristics of an important geometry in deep tissues at the nanometer scale: packed nano-cylinders, in the near-infrared window, numerically predicted and experimentally proved that transversely oriented and regularly arranged nano-cylinders could selectively backscatter light of the long wavelengths. Notably, we found that the spectroscopic contrast of nanoscale fibrous structures was sensitive to the pressure load, possibly owing to the changes in the orientation, the degree of alignment, and the spacing. To explore the underlying physical basis, we further developed an analytical model based on the radial distribution function in terms of their radius, refractive index, and spatial distribution.
URI: https://hdl.handle.net/10356/141991
ISSN: 2589-0042
DOI: 10.1016/j.isci.2019.08.046
Schools: School of Chemical and Biomedical Engineering 
School of Electrical and Electronic Engineering 
Rights: © 2019 The Author(s). Published under Cell Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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