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 |
|---|---|
| Автори: | , , |
| 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 |
| Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
| 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 Ukraine| id |
irk-123456789-117766 |
|---|---|
| record_format |
dspace |
| spelling |
irk-123456789-1177662017-05-27T03:04:22Z Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties Ushenko, Yu. O. Balanetsk, V. O. Angelsky, O. P. 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. 2011 Article 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. 1560-8034 PACS 33.50.-j, 34.35.+a, 73.20.Mf, 78.30.-j http://dspace.nbuv.gov.ua/handle/123456789/117766 en Semiconductor Physics Quantum Electronics & Optoelectronics Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| institution |
Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| collection |
DSpace DC |
| language |
English |
| description |
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. |
| format |
Article |
| author |
Ushenko, Yu. O. Balanetsk, V. O. Angelsky, O. P. |
| spellingShingle |
Ushenko, Yu. O. Balanetsk, V. O. Angelsky, O. P. Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties Semiconductor Physics Quantum Electronics & Optoelectronics |
| author_facet |
Ushenko, Yu. O. Balanetsk, V. O. Angelsky, O. P. |
| author_sort |
Ushenko, Yu. O. |
| title |
Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| title_short |
Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| title_full |
Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| title_fullStr |
Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| title_full_unstemmed |
Jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| title_sort |
jones-matrix images corresponding to networks of biological crystals for diagnostics and classification of their optical properties |
| publisher |
Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України |
| publishDate |
2011 |
| url |
http://dspace.nbuv.gov.ua/handle/123456789/117766 |
| citation_txt |
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. |
| series |
Semiconductor Physics Quantum Electronics & Optoelectronics |
| work_keys_str_mv |
AT ushenkoyuo jonesmatriximagescorrespondingtonetworksofbiologicalcrystalsfordiagnosticsandclassificationoftheiropticalproperties AT balanetskvo jonesmatriximagescorrespondingtonetworksofbiologicalcrystalsfordiagnosticsandclassificationoftheiropticalproperties AT angelskyop jonesmatriximagescorrespondingtonetworksofbiologicalcrystalsfordiagnosticsandclassificationoftheiropticalproperties |
| first_indexed |
2023-10-18T20:30:34Z |
| last_indexed |
2023-10-18T20:30:34Z |
| _version_ |
1796150387374292992 |