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3D polarization correlometry of object fields of networks of biological crystals

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dc.contributor.author Ushenko, A.G.
dc.contributor.author Dubolazov, A.V.
dc.contributor.author Litvinenko, O.Yu.
dc.contributor.author Bachinsky, V.T.
dc.contributor.author Bin, Lin
dc.contributor.author Bin, Guo
dc.contributor.author Zhebo, Chen
dc.date.accessioned 2020-07-11T10:34:40Z
dc.date.available 2020-07-11T10:34:40Z
dc.date.issued 2020
dc.identifier.uri http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/15983
dc.description.abstract The results of the study of the relationships between 3D divisions of the optical anisotropy parameters of polycrystalline networks of films of biological fluids of various biochemical composition and layer-by-layer phase cross sections of volume distributions of the magnitude and phase parameters of the "two-point" Stokes vector of a microscopic image are presented. In the framework of the statistical approach using scale-selective wavelet analysis, the values and ranges of statistical 1st-4th order changes are defined, which characterize: • distribution of the values of the modulus and phase of the parameters of the Stokes vector in various phase sections of the object field; • a set of values of the amplitudes of the wavelet coefficients for various scales of the geometric dimensions of the module maps and the phase of the degree of correlation of the parameters of the Stokes vector (DCS). uk_UA
dc.language.iso en uk_UA
dc.publisher Proc. of SPIE. 2020. Vol. 11369, 113691M uk_UA
dc.subject polarization uk_UA
dc.subject biological crystals uk_UA
dc.subject correlometry uk_UA
dc.subject diagnostic uk_UA
dc.title 3D polarization correlometry of object fields of networks of biological crystals uk_UA
dc.type Article uk_UA


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