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 s...

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Veröffentlicht in:Semiconductor Physics Quantum Electronics & Optoelectronics
Datum:2011
Hauptverfasser: Ushenko, Yu. O., Balanetsk, V. O., Angelsky, O. P.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2011
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/117766
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren: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
Beschreibung
Zusammenfassung: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.
ISSN:1560-8034