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Proceedings Paper

Cell light scattering characteristic research based on FDTD algorithm
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Paper Abstract

As with the number of cancer increases year by year, so it is important to be found and treated earlier. With biological cells and tissues are sensitive to infrared and visible light, cell morphology and physical structure of the optical properties can easily obtain, we can provide theoretical basis for the early diagnosis of cancer by observing the difference of optical properties between normal and cancerous cells. Compared with Mie scattering theory, finite difference time domain (FDTD) algorithm can analyze any complex structure model. In this paper we use mathematical modeling method to establish the single cell mathematical model and with finite difference time domain algorithm to simulate the propagation and scattering of light in the biological cells, you can calculate the scattering of electromagnetic field distribution at anytime and anywhere. With radar cross section (RCS) to measure the results of the scattering characteristics. Due to the difference between normal cells and cancerous cells are embodied in cell shape, size and the refractive index, through the simulation we can get different cell parameters of light scattering information, Find out the cell parameters change the changing rule of the influence on the scattering characteristics and find out change regularity of scattering characteristics. These data can judge very accurate of the cells is normal or cancerous cells.

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, 967212 (15 October 2015); doi: 10.1117/12.2202918
Show Author Affiliations
Xiaogang Lin, Chongqing Univ. (China)
Hao Zhu, Chongqing Univ. (China)
Wenchao Li, Chongqing Univ. (China)
Changbin Ye, Chongqing Univ. (China)

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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