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Updated: Jan 24, 2026

Deep Neural Networks for Image-Based Dietary Assessment
Published on: March 13, 2021
Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline
Mariia Borovkova1, Larysa Trifonyuk2, Volodymyr Ushenko3
1Optoelectronics and Measurement Techniques, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.
Abstract:
We introduce a Mueller-matrix imaging polarization-based approach for the quantitative digital screening of the polycrystalline structure of fibrillary-based biological tissues in vitro. The morphometric evaluation of histological sections of myocardium was performed utilizing the high-order statistical moments calculated based on the spatial distribution of linear and circular birefringence and dichroism obtained experimentally. We demonstrate that spatial distributions of phase of light and optical anisotropy of scattering inherent to fibrillar networks of myocardium at different necrotic stages can be effectively used as a quantitative marker of stages of myosin fibril degradation. Processing the images of phase of light scattered in biological tissues with high order statistical analysis provides a functional tool for the quantitative characterization of necrotic conditions of the myocardium.
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