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...
Збережено в:
Дата: | 2011 |
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Автори: | , , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України
2011
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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. |
Репозитарії
Digital Library of Periodicals of National Academy of Sciences of UkraineРезюме: | 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. |
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