Liquid Crystal-Based Mueller Matrix Spectral Imaging Polarimetry for Parameterizing Mineral Structural Organization
Published In
Applied Optics
Document Type
Citation
Publication Date
2017
Abstract
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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DOI
10.1364/AO.56.000626
Persistent Identifier
http://archives.pdx.edu/ds/psu/19898
Citation Details
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.