Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data

Vladimir V. Berdnik; Olga A. Gritsai; Valery A. Loiko

doi:10.1117/12.882064

7 February 2011 Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data

Vladimir V. Berdnik, Olga A. Gritsai, Valery A. Loiko

Author Affiliations +

Proceedings Volume 7994, LAT 2010: International Conference on Lasers, Applications, and Technologies; 79940X (2011) https://doi.org/10.1117/12.882064
Event: International Conference on Coherent and Nonlinear Optics (ICONO 2010) and International Conference on Lasers, Applications and Technologies (LAT 2010), 2010, Kazan, Russian Federation

Abstract

A method to retrieve radius from 0.6 mkm up to 13.6 mkm and relative refractive index from 1.015 up to 1.28 of spherical homogeneous non-absorbing particles by multi-angle scattering is proposed. It is based on the formation of noise resistant functionals of the scattered intensity, which are invariant relatively linear homogeneous transformations of an intensity-based signal, and on the approximation of the retrieved parameters dependence on the functionals by a feed forward neural network. The values of intensity of light scattered in the interval of angles 10° - 60° are used. At 20% measurement errors the mean errors of the retrieval of radius and relative refractive index are 0.8% and 7%, respectively.

Citation Download Citation

Vladimir V. Berdnik, Olga A. Gritsai, and Valery A. Loiko "Characterization of size and refractive index of spherical particles with the neural networks by multi-angle light scattering data", Proc. SPIE 7994, LAT 2010: International Conference on Lasers, Applications, and Technologies, 79940X (7 February 2011); https://doi.org/10.1117/12.882064

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