Cell light scattering characteristic numerical simulation research based on FDTD algorithm

Xiaogang Lin; Nan Wan; Hao Zhu; Lingdong Weng

doi:10.1117/12.2267489

5 January 2017 Cell light scattering characteristic numerical simulation research based on FDTD algorithm

Xiaogang Lin, Nan Wan, Hao Zhu, Lingdong Weng

Proceedings Volume 10245, International Conference on Innovative Optical Health Science; 102450F (2017) https://doi.org/10.1117/12.2267489
Event: International Conference on Innovative Optical Health Science, 2016, Shanghai Everbright International Hotel, China

Abstract

In this study, finite-difference time-domain (FDTD) algorithm has been used to work out the cell light scattering problem. Before beginning to do the simulation contrast, finding out the changes or the differences between normal cells and abnormal cells which may be cancerous or maldevelopment is necessary. The preparation of simulation are building up the simple cell model of cell which consists of organelles, nucleus and cytoplasm and setting up the suitable precision of mesh. Meanwhile, setting up the total field scattering field source as the excitation source and far field projection analysis group is also important. Every step need to be explained by the principles of mathematic such as the numerical dispersion, perfect matched layer boundary condition and near-far field extrapolation. The consequences of simulation indicated that the position of nucleus changed will increase the back scattering intensity and the significant difference on the peak value of scattering intensity may result from the changes of the size of cytoplasm. The study may help us find out the regulations based on the simulation consequences and the regulations can be meaningful for early diagnosis of cancers.

Citation Download Citation

Xiaogang Lin, Nan Wan, Hao Zhu, and Lingdong Weng "Cell light scattering characteristic numerical simulation research based on FDTD algorithm", Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 102450F (5 January 2017); https://doi.org/10.1117/12.2267489

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