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穆勒矩阵的立体空间图形方法:全局偏振斯托克斯椭球体

Stereoscopic spatial graphical method of Mueller matrix: Global-Polarization Stokes Ellipsoid.

作者信息

Zhang Xinxian, Song Jiawei, Fan Jiahao, Zeng Nan, He Honghui, Tuchin Valery V, Ma Hui

机构信息

Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China.

School of Teacher Education, Nanjing Normal University, Nanjing, 210097, China.

出版信息

Front Optoelectron. 2024 Aug 16;17(1):29. doi: 10.1007/s12200-024-00132-4.

DOI:10.1007/s12200-024-00132-4
PMID:39150587
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11329479/
Abstract

A Mueller matrix covers all the polarization information of the measured sample, however the combination of its 16 elements is sometimes not intuitive enough to describe and identify the key characteristics of polarization changes. Within the Poincaré sphere system, this study achieves a spatial representation of the Mueller matrix: the Global-Polarization Stokes Ellipsoid (GPSE). With the help of Monte Carlo simulations combined with anisotropic tissue models, three basic characteristic parameters of GPSE are proposed and explained, where the V parameter represents polarization maintenance ability, and the E and D parameters represent the degree of anisotropy. Furthermore, based on GPSE system, a dynamic analysis of skeletal muscle dehydration process demonstrates the monitoring effect of GPSE from an application perspective, while confirming its robustness and accuracy.

摘要

穆勒矩阵涵盖了被测样本的所有偏振信息,然而其16个元素的组合有时不够直观,难以描述和识别偏振变化的关键特征。在庞加莱球系统中,本研究实现了穆勒矩阵的空间表示:全局偏振斯托克斯椭球体(GPSE)。借助蒙特卡罗模拟并结合各向异性组织模型,提出并解释了GPSE的三个基本特征参数,其中V参数表示偏振维持能力,E和D参数表示各向异性程度。此外,基于GPSE系统,对骨骼肌脱水过程的动态分析从应用角度展示了GPSE的监测效果,同时证实了其稳健性和准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/74a853f0280c/12200_2024_132_Fig12_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/4feb63118b8d/12200_2024_132_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/74a853f0280c/12200_2024_132_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/9f65192412ed/12200_2024_132_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/31875c1b7777/12200_2024_132_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/b096ced0233b/12200_2024_132_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/2ad54fdad278/12200_2024_132_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/e92da8747e74/12200_2024_132_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/f94d49649c90/12200_2024_132_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/db023ed2e4d3/12200_2024_132_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/617cec8be193/12200_2024_132_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/fd8f0c609e07/12200_2024_132_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/3eeaeeaf07c7/12200_2024_132_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/4feb63118b8d/12200_2024_132_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9fe/11329479/74a853f0280c/12200_2024_132_Fig12_HTML.jpg

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