Spectral Mueller matrices measured at multiple angles of incidence as well as Mueller matrix images are recorded on the exoskeletons (cuticles) of the scarab beetles Cetonia aurata and Chrysina argenteola. Cetonia aurata is green whereas Chrysina argenteola is gold-colored. When illuminated with natural (unpolarized) light, both species reflect left-handed and near-circularly polarized light originating from helicoidal structures in their cuticles. These structures are referred to as circular Bragg reflectors. For both species the Mueller matrices are found to be nondiagonal depolarizers. The matrices are Cloude decomposed to a sum of non-depolarizing matrices and it is found that the cuticle optical response, in a first approximation can be described as a sum of Mueller matrices from an ideal mirror and an ideal circular polarizer with relative weights determined by the eigenvalues of the covariance matrices of the measured Mueller matrices. The spectral and image decompositions are consistent with each other. A regression-based decomposition of the spectral and image Mueller matrices is also presented whereby the basic optical components are assumed to be a mirror and a circular polarizer as suggested by the Cloude decomposition. The advantage with a regression decomposition compared to a Cloude decomposition is its better stability as the matrices in the decomposition are determined a priori. The origin of the depolarizing features are discussed but from present data it is not possible to conclude whether the two major components, the mirror and the circular polarizer are laterally separated in domains in the cuticle or if the depolarization originates from the intrinsic properties of the helicoidal structure.
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http://dx.doi.org/10.1364/OE.23.001951 | DOI Listing |
J Opt Soc Am A Opt Image Sci Vis
August 2024
A criterion for the characterization of the retardance effects produced by depolarizing and nondepolarizing linear media on interacting light is established based on Mueller matrices algebra. A consistent general description of retardance properties is performed by means of a serial decomposition of the Mueller matrix into three components, namely an element that encompasses the enpolarizing and depolarizing properties sandwiched by two elliptical retarders containing complete and decoupled information on retardance. The inherent ambiguity derived from the coincident formal structure of rotation matrices and circular retarders is removed though the introduction of the entrance and exit intrinsic reference frames, leading to the concepts of the intrinsic entrance and exit linear retarders, which are defined from the Mueller matrix itself and that are independent of the laboratory reference frames used to represent the incident and emerging polarized light beams, respectively.
View Article and Find Full Text PDFOptical polarization is three-dimensional (3-D). Its complete information is described by the nine-component generalized Stokes vector (GSV). However, existing Stokes polarimetry and its design theory are primarily based on the paraxial four-component Stokes vector and 4 × 4 Mueller matrices.
View Article and Find Full Text PDFChem Biomed Imaging
April 2024
School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China.
Mueller matrices provide a complete description of a medium's response to excitation by polarized light, and their characterization is important across a broad range of applications from ellipsometry in material science to polarimetry in biochemistry, medicine and astronomy. Here we introduce single-shot Mueller matrix polarimetry based on generalized measurements performed with a Poincaré beam. We determine the Mueller matrix of a homogeneous medium with unknown optical activity by detecting its optical response to a Poincaré beam, which across its profile contains all polarization states, and analyze the resulting polarization pattern in terms of four generalized measurements, which are implemented as a path-displaced Sagnac interferometer.
View Article and Find Full Text PDFLocal phase retardation (LPR) is increasingly recognized as a crucial biomarker for assessing disease progression. However, the presence of speckle noise significantly challenges its accuracy and polarization contrast. To address this challenge, we propose a signal-processing strategy aimed at reducing the impact of noise on LPR measurements.
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