Numerical Calculation and Analysis of Mie Scattering Phase Function of Nucleated Cells

被引：0
作者：
Bu M. [1 ]
Hu S. [1 ]
Lu W. [1 ]
Jin W. [2 ]
Wang Y. [1 ]
机构：
[1] Faculty of Science, Jiangsu University, Zhenjiang, 212013, Jiangsu
[2] School of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu
来源：
| 1600年 / Science Press卷 / 44期
关键词：
Asymmetric factor; Biotechnology; Geometric scattering approximation; Nucleated cell; Scattering phase function; Second order parameter;
D O I：
10.3788/CJL201744.0807003
中图分类号：
学科分类号：
摘要：
Studying the transmission of light in biological tissues requires more accurate scattering phase function. It is necessary to study the effect of nucleus on the phase function. In this study, the Mie phase function, asymmetric factor g and second order parameter γ of monodisperse nucleated cells are modified based on the geometric scattering approximation theory, the effects of the morphological and optical parameters on the angular distribution of the Mie phase function and number of Airy peaks are analyzed. The variations of g and γ with wavelength, cell size, nucleus ratio and refractive index are numerically simulated. The results show that the distribution of the Mie phase function, number of Airy peaks, g and γ are not only related to the cell size, but also to the nucleus proportion and refractive index. The effect of intracellular optical structure cannot be ignored. Compared with HG phase function, the Mie phase function can describe the side-backscattering characteristics and calculate g and γ more accurately. The Mie phase function provides further theoretical support for studying label free cell detection methods and transmission characteristics of laser in biological tissues. © 2017, Chinese Lasers Press. All right reserved.
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  • [1] Gate L.F., Comparison of the photon diffusion model and Kubelka-Munk equation with the exact solution of the radiative transport equation, Applied Optics, 13, 2, pp. 236-238, (1974)
  • [2] Kienle A., Patterson M.S., Dognitz N., Et al., Noninvasive determination of the optical properties of two-layered turbid media, Applied Optics, 37, 4, pp. 779-791, (1998)
  • [3] Prahl S.A., Van Gemert M.J., Welch A.J., Determining the optical properties of turbid media by using the adding-doubling method, Applied Optics, 32, 4, pp. 559-568, (1993)
  • [4] Bonner R.F., Nossal R., Havlin S., Et al., Model for photon migration in turbid biological media, Journal of the Optical Society of America A, 4, 3, pp. 423-432, (1987)
  • [5] Wilson B.C., Adam G., A Monte Carlo model for the absorption and flux distributions of light in tissue, Medical Physics, 10, 6, pp. 824-830, (1983)
  • [6] Ma G., Delorme J.F., Gallant P., Et al., Comparison of simplified Monte Carlo simulation and diffusion approximation for the fluorescence signal from phantoms with typical mouse tissue optical properties, Applied Optics, 46, 10, pp. 1686-1692, (2007)
  • [7] Liu Q., Zhu C., Ramanujam N., Experimental validation of Monte Carlo modeling of fluorescence in tissues in the UV-visible spectrum, Journal of Biomedical Optics, 8, 2, pp. 223-236, (2003)
  • [8] Liemert A., Kienle A., Light transport in three-dimensional semi-infinite scattering media, Journal of the Optical Society of America A, 29, 7, pp. 1475-1481, (2012)
  • [9] Wang J., Ding Y., Chen S., Et al., Transport for photon beams of finite size in biological tissues based on Monte Carlo, Acta Photonica Sinica, 43, pp. 167-171, (2014)
  • [10] Kienle A., Forster F.K., Hibst R., Influence of the phase function on determination of the optical properties of biological tissue by spatially resolved reflectance, Optics Letters, 26, 20, pp. 1571-1573, (2001)
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