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Proceedings Paper

The numerical simulation and goniometric measurements of cells light scattering based on Mie theory
Author(s): Xiaogang Lin; Changbin Ye; Hao Zhu; Wenchao Li; Jie Wu
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Paper Abstract

Optical diagnostic technique, due to its rapid and non-invasive for the diagnosis diseases at the cellular level, can be performed in vivo and allow for real-time diagnosis. While light scattering method is capable of characterizing the structural properties of tissue at the cellular and subcellular scale. In this paper, the spherical models of cells light scattering were established based on Mie, and the distribution curves of scattering intensity in the range of 0~180 degrees were got to explore change rule of cells light scattering information at the molecular level. Also, a platform for experiments used to measure the light scattering information of cells was built to get the change rule of cells light scattering information in wide angular range. And the particle size distribution (PSD) of cells was got by the inversion algorithm. A comparative analysis between numerical simulation and goniometric measurements revealed that the forward-scattering and side-scattering were influenced by the particle size of cells and relative index of refraction between cells and surrounding media. It could also be concluded that it was necessary to get and analyze the light scattering information of larger scattering angle range, which may be related to the intracellular organelles and nucleus.

Paper Details

Date Published: 15 October 2015
PDF: 6 pages
Proc. SPIE 9672, AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications, 967211 (15 October 2015); doi: 10.1117/12.2202917
Show Author Affiliations
Xiaogang Lin, Chongqing Univ. (China)
Changbin Ye, Chongqing Univ. (China)
Hao Zhu, Chongqing Univ. (China)
Wenchao Li, Chongqing Univ. (China)
Jie Wu, The Univ. of Tennessee (United States)


Published in SPIE Proceedings Vol. 9672:
AOPC 2015: Advanced Display Technology; and Micro/Nano Optical Imaging Technologies and Applications
Byoungho Lee; Yikai Su; Min Gu; Xiaocong Yuan; Daniel Jaque, Editor(s)

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