Statistical Mueller matrix driven discrimination of suspended particles

被引：16

作者：

Li, Jiajin ^{[1
,2
]}

Wang, Hongjian ^{[1
]}

Liao, Ran ^{[1
]}

Wang, Yong ^{[3
]}

Liu, Zhidi ^{[2
]}

Zhuo, Zepeng ^{[4
]}

Guo, Zhiming ^{[1
]}

Ma, Hui ^{[4
]}

机构：

[1] Tsinghua Univ, Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen 518055, Peoples R China

[2] Tsinghua Univ, Dept Biomed Engn, Beijing 100084, Peoples R China

[3] Qingdao Univ Technol, Sch Sci, Res Ctr Quantum Opt & Quantum Commun, Qingdao 266525, Peoples R China

[4] Tsinghua Univ, Dept Phys, Beijing 100084, Peoples R China

来源：

OPTICS LETTERS | 2021年 / 46卷 / 15期

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1364/OL.433870

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

An effective method to calculate the statistical Mueller matrix (SMM) of suspended particles based on polarized light scattering is presented that takes advantage of the Stokes vectors measurement of individual particles. The calculation method of the SMM is derived based on statistics. Experimental results of Microcystis samples confirm that the SMM can characterize cells of different states. Then, pairwise contrast experiments indicate the great prospect of the SMM applied on the discrimination of suspended particles. It helps to find the optimal incident polarization state to discriminate suspended particles, and it has optimal discrimination ability. The parameter derived from the SMM can simultaneously discriminate particles including microalgae, microplastics, and sand-like particles. (C) 2021 Optical Society of America

引用

页码：3645 / 3648

页数：4

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