An optimization method for solving the inverse Mie problem based on adaptive algorithm for construction of interpolating database

被引:8
作者
Gilev, Konstantin V. [1 ,2 ]
Yurkin, Maxim A. [1 ,2 ]
Dyatlov, Gleb V. [2 ,3 ]
Chernyshev, Andrei V. [1 ,2 ]
Maltsev, Valeri P. [1 ,2 ]
机构
[1] Russian Acad Sci, Inst Chem Kinet & Combust, Novosibirsk 630090, Russia
[2] Novosibirsk State Univ, Novosibirsk 630090, Russia
[3] Sobolev Inst Math, Novosibirsk 630090, Russia
关键词
Inverse light scattering problem; Global optimization; Lookup database; SCANNING FLOW-CYTOMETRY; LIGHT-SCATTERING; SPHERICAL-PARTICLES; REFRACTIVE-INDEX; GLOBAL OPTIMIZATION; NEURAL-NETWORKS; BLOOD-CELLS; APPROXIMATION; INTENSITY; SIZE;
D O I
10.1016/j.jqsrt.2012.08.001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We introduce a numerical solution of the inverse light-scattering problem for a single non-absorbing spherical particle. The solution is implemented by global optimization at preliminary constructed database of light-scattering patterns. We propose an adaptive method for database construction, which aims both at providing satisfactory local accuracy and at avoiding large errors of the inverse map. Several databases were constructed varying the required accuracy of solution of the inverse problem and parameters used to characterize a sphere. We tested accuracy of the method on synthetic data for spheres with and without noise, on synthetic data for slightly prolate and oblate spheroids, and on experimental data of polystyrene microspheres measured with a scanning flow cytometer. The constructed databases have shown appropriate results in determination of the size and refractive index of a sphere from the angle-resolved light scattering with given accuracy. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:202 / 214
页数:13
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