Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties

Performed in this work is a complex statistical, correlation and fractal analysis of coordinate distributions for Jones-matrix elements describing birefringent networks observed in the main types of human amino acids. Determined are the values and ranges for changing the statistical, correlation...

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Bibliographic Details
Date:2011
Main Authors: Ushenko, Yu. O., Balanetsk, V. O., Angelsky, O. P.
Format: Article
Language:English
Published: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2011
Series:Semiconductor Physics Quantum Electronics & Optoelectronics
Online Access:https://nasplib.isofts.kiev.ua/handle/123456789/117766
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Journal Title:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Cite this:Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties / Yu. O. Ushenko, V. O. Balanetska, O. P. Angelsky // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2011. — Т. 14, № 3. — С. 365-374. — Бібліогр.: 31 назв. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
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Summary:Performed in this work is a complex statistical, correlation and fractal analysis of coordinate distributions for Jones-matrix elements describing birefringent networks observed in the main types of human amino acids. Determined are the values and ranges for changing the statistical, correlation and spectral moments of the 1-st to 4-th orders that characterize Jones-matrix images of these biological polycrystalline protein structures. We have ascertained objective criteria for classification and differentiation of optical properties inherent to polycrystalline networks of amino acids with different types of spatial symmetry – dendrite, spherolite and cluster ones.