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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Збережено в:
Бібліографічні деталі
Дата:2011
Автори: Ushenko, Yu. O., Balanetsk, V. O., Angelsky, O. P.
Формат: Стаття
Мова:English
Опубліковано: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2011
Назва видання:Semiconductor Physics Quantum Electronics & Optoelectronics
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/117766
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати: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
Опис
Резюме: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.