Reciprocal polarization imaging of complex media
Zhineng Xie, Guowu Huang, Weihao Lin, Xin Jin, Yifan Ge, Yansen Hu,, Xiafei Qian, Min Xu

TL;DR
This paper introduces reciprocal polarization imaging using reciprocal polar decomposition to accurately quantify anisotropic properties of complex media in reflection geometry, enhancing applications in biomedical imaging and remote sensing.
Contribution
It presents a novel reciprocal polar decomposition method for backscattering Mueller matrices, enabling precise measurement of medium anisotropy in reflection geometry.
Findings
Reciprocal polarization imaging accurately quantifies anisotropic properties.
The method outperforms existing decompositions in complex media.
Applications demonstrated include tissue imaging and glucose suspension analysis.
Abstract
The vectorial evolution of polarized light interaction with a medium can reveal its microstructure and anisotropy beyond what can be obtained from scalar light interaction. Anisotropic properties (diattenuation, retardance, and depolarization) of a complex medium can be quantified by polarization imaging by measuring the Mueller matrix. However, polarization imaging in the reflection geometry, ubiquitous and often preferred in diverse applications, has suffered a poor recovery of the medium's anisotropic properties due to the lack of suitable decomposition of the Mueller matrices measured inside a backward geometry. Here, we present reciprocal polarization imaging of complex media after introducing reciprocal polar decomposition for backscattering Mueller matrices. Based on the reciprocity of the optical wave in its forward and backward scattering paths, the anisotropic diattenuation,…
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Taxonomy
TopicsOptical Polarization and Ellipsometry
