Geometry-dependent spectroscopic contrast in deep tissues
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 infor...
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sg-ntu-dr.10356-1419912020-06-15T01:06:47Z Geometry-dependent spectroscopic contrast in deep tissues 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 School of Chemical and Biomedical Engineering School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Infrared Optics Medical Imaging 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. NRF (Natl Research Foundation, S’pore) ASTAR (Agency for Sci., Tech. and Research, S’pore) MOE (Min. of Education, S’pore) NMRC (Natl Medical Research Council, S’pore) Published version 2020-06-15T01:06:47Z 2020-06-15T01:06:47Z 2019 Journal Article 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 2589-0042 https://hdl.handle.net/10356/141991 10.1016/j.isci.2019.08.046 31522119 2-s2.0-85072039126 19 965 975 en iScience © 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/) application/pdf |
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Engineering::Electrical and electronic engineering Infrared Optics Medical Imaging 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 Geometry-dependent spectroscopic contrast in deep tissues |
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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. |
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School of Chemical and Biomedical Engineering |
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School of Chemical and Biomedical Engineering 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 |
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Article |
author |
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 |
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Ge, Xin |
title |
Geometry-dependent spectroscopic contrast in deep tissues |
title_short |
Geometry-dependent spectroscopic contrast in deep tissues |
title_full |
Geometry-dependent spectroscopic contrast in deep tissues |
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Geometry-dependent spectroscopic contrast in deep tissues |
title_full_unstemmed |
Geometry-dependent spectroscopic contrast in deep tissues |
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geometry-dependent spectroscopic contrast in deep tissues |
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2020 |
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https://hdl.handle.net/10356/141991 |
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1681058034666700800 |