Stokes-correlometry analysis of biological tissues with polycrystalline structure A. G. Ushenko, A. Y. Sdobnov, A. V. Dubolazov [et al.]
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ArticleSubject(s): биологические ткани | поляриметрическая визуализация | Эллипсометрия | поляриметрияGenre/Form: статьи в журналах Online resources: Click here to access online
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IEEE journal of selected topics in quantum electronics Vol. 25, № 1. P. 7101612 (1-12)Abstract: Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of `single-point' polarization azimuth, ellipticity, and `two-point' Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy (Ac ≥ 90%) in monitoring of optical anisotropy variations within biological tissues.
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Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of `single-point' polarization azimuth, ellipticity, and `two-point' Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy (Ac ≥ 90%) in monitoring of optical anisotropy variations within biological tissues.
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