Liquid Crystal-Based Mueller Matrix Spectral Imaging Polarimetry for Parameterizing Mineral Structural Organization
Herein, we discuss the remote assessment of the subwavelength organizational structure of a medium. Specifically, we use spectral imaging polarimetry, as the vector nature of polarized light enables it to interact with optical anisotropies within a medium, while the spectral aspect of polarization is sensitive to small-scale structure. The ability to image these effects allows for inference of spatial structural organization parameters. This work describes a methodology for revealing structural organization by exploiting the Stokes/Mueller formalism and by utilizing measurements from a spectral imaging polarimeter constructed from liquid crystal variable retarders and a liquid crystal tunable filter. We provide results to validate the system and then show results from measurements on a mineral sample.
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Gladish J.C., Duncan D.D. 2017. Liquid Crystal-Based Mueller Matrix Spectral Imaging Polarimetry for Parameterizing Mineral Structural Organization. Applied Optics, 56(3):626-635.