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Alexander V. Dubolazov

Researcher at Chernivtsi University

Publications -  85
Citations -  915

Alexander V. Dubolazov is an academic researcher from Chernivtsi University. The author has contributed to research in topics: Mueller calculus & Anisotropy. The author has an hindex of 15, co-authored 82 publications receiving 766 citations.

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The Interconnection between the Coordinate Distribution of Mueller-Matrixes Images Characteristic Values of Biological Liquid Crystals Net and the Pathological Changes of Human Tissues

TL;DR: In this article, the authors have theoretically grounded conceptions of characteristic points observed in coordinate distributions of Mueller matrix elements for a network of human tissue biological crystals and determined the criteria for statistical diagnostics of pathological changes in the birefringent structure of biological crystal network.
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Mueller-matrix diagnostics of optical properties of polycrystalline networks of human blood plasma

TL;DR: In this article, a study of the possibilities of Mueller-matrix diagnostics of optical anisotropy of birefringent polycrystalline networks of human plasma amino acids is presented.
Proceedings ArticleDOI

Correlation and self similarity structure of polycrystalline network biological layers Mueller matrices images

TL;DR: In this article, the degree of mutual correlation Muller matrix of biological tissue has been proposed as an experimental parameter in problems of differentiation orientation-phase component of architectural and physiological state of biological tissues based on statistical and correlation approach.
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Wavelet-analysis of polarization maps of human blood plasma

TL;DR: In this paper, the local wavelet analysis of coordinate distributions of polarization azimuths and ellipticity of laser images of blood plasma in healthy and cancer patients is considered, and the set of statistical, correlation, and fractal parameters of distributions of wavelet-coefficients characterizing different scales of geometric dimensions of amino acid polycrystalline networks is determined.
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Statistical analysis of polarization-inhomogeneous Fourier spectra of laser radiation scattered by human skin in the tasks of differentiation of benign and malignant formations.

TL;DR: The diagnostic criteria of pathological process in human skin and its severity degree differentiation were determined and the results of investigation of the values of statistical parameters of polarization-inhomogeneous images of skin surface in Fourier plane were presented.