Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks
Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small i...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Kushnerick, L. Ya. [verfasserIn] Bodnar, L. B. [verfasserIn] Gorskii, M. P. [verfasserIn] Sydor, M. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Optical memory and neural networks - New York, NY : Allerton Press, 2007, 22(2013), 2 vom: Apr., Seite 118-125 |
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| Übergeordnetes Werk: |
volume:22 ; year:2013 ; number:2 ; month:04 ; pages:118-125 |
| Links: |
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| DOI / URN: |
10.3103/S1060992X13020070 |
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| Katalog-ID: |
SPR024071137 |
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| 245 | 1 | 0 | |a Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
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| 520 | |a Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. | ||
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| 650 | 4 | |a Fourier transform |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a polarizationally-inhomogeneous field |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a phase shift |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Jones-matrix |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a small intestine wall |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Bodnar, L. B. |e verfasserin |4 aut | |
| 700 | 1 | |a Gorskii, M. P. |e verfasserin |4 aut | |
| 700 | 1 | |a Sydor, M. |e verfasserin |4 aut | |
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10.3103/S1060992X13020070 doi (DE-627)SPR024071137 (SPR)S1060992X13020070-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Kushnerick, L. Ya. verfasserin aut Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 Bodnar, L. B. verfasserin aut Gorskii, M. P. verfasserin aut Sydor, M. verfasserin aut Enthalten in Optical memory and neural networks New York, NY : Allerton Press, 2007 22(2013), 2 vom: Apr., Seite 118-125 (DE-627)556727002 (DE-600)2403683-3 1934-7898 nnns volume:22 year:2013 number:2 month:04 pages:118-125 https://dx.doi.org/10.3103/S1060992X13020070 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 ASE AR 22 2013 2 04 118-125 |
| spelling |
10.3103/S1060992X13020070 doi (DE-627)SPR024071137 (SPR)S1060992X13020070-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Kushnerick, L. Ya. verfasserin aut Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 Bodnar, L. B. verfasserin aut Gorskii, M. P. verfasserin aut Sydor, M. verfasserin aut Enthalten in Optical memory and neural networks New York, NY : Allerton Press, 2007 22(2013), 2 vom: Apr., Seite 118-125 (DE-627)556727002 (DE-600)2403683-3 1934-7898 nnns volume:22 year:2013 number:2 month:04 pages:118-125 https://dx.doi.org/10.3103/S1060992X13020070 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 ASE AR 22 2013 2 04 118-125 |
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10.3103/S1060992X13020070 doi (DE-627)SPR024071137 (SPR)S1060992X13020070-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Kushnerick, L. Ya. verfasserin aut Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 Bodnar, L. B. verfasserin aut Gorskii, M. P. verfasserin aut Sydor, M. verfasserin aut Enthalten in Optical memory and neural networks New York, NY : Allerton Press, 2007 22(2013), 2 vom: Apr., Seite 118-125 (DE-627)556727002 (DE-600)2403683-3 1934-7898 nnns volume:22 year:2013 number:2 month:04 pages:118-125 https://dx.doi.org/10.3103/S1060992X13020070 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 ASE AR 22 2013 2 04 118-125 |
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10.3103/S1060992X13020070 doi (DE-627)SPR024071137 (SPR)S1060992X13020070-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Kushnerick, L. Ya. verfasserin aut Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 Bodnar, L. B. verfasserin aut Gorskii, M. P. verfasserin aut Sydor, M. verfasserin aut Enthalten in Optical memory and neural networks New York, NY : Allerton Press, 2007 22(2013), 2 vom: Apr., Seite 118-125 (DE-627)556727002 (DE-600)2403683-3 1934-7898 nnns volume:22 year:2013 number:2 month:04 pages:118-125 https://dx.doi.org/10.3103/S1060992X13020070 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 ASE AR 22 2013 2 04 118-125 |
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10.3103/S1060992X13020070 doi (DE-627)SPR024071137 (SPR)S1060992X13020070-e DE-627 ger DE-627 rakwb eng 530 ASE 33.00 bkl Kushnerick, L. Ya. verfasserin aut Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 Bodnar, L. B. verfasserin aut Gorskii, M. P. verfasserin aut Sydor, M. verfasserin aut Enthalten in Optical memory and neural networks New York, NY : Allerton Press, 2007 22(2013), 2 vom: Apr., Seite 118-125 (DE-627)556727002 (DE-600)2403683-3 1934-7898 nnns volume:22 year:2013 number:2 month:04 pages:118-125 https://dx.doi.org/10.3103/S1060992X13020070 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.00 ASE AR 22 2013 2 04 118-125 |
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Enthalten in Optical memory and neural networks 22(2013), 2 vom: Apr., Seite 118-125 volume:22 year:2013 number:2 month:04 pages:118-125 |
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Enthalten in Optical memory and neural networks 22(2013), 2 vom: Apr., Seite 118-125 volume:22 year:2013 number:2 month:04 pages:118-125 |
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Fourier polarimetry Fourier transform polarizationally-inhomogeneous field phase shift Jones-matrix small intestine wall |
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Kushnerick, L. Ya. @@aut@@ Bodnar, L. B. @@aut@@ Gorskii, M. P. @@aut@@ Sydor, M. @@aut@@ |
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| author |
Kushnerick, L. Ya. |
| spellingShingle |
Kushnerick, L. Ya. ddc 530 bkl 33.00 misc Fourier polarimetry misc Fourier transform misc polarizationally-inhomogeneous field misc phase shift misc Jones-matrix misc small intestine wall Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
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Kushnerick, L. Ya. |
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530 ASE 33.00 bkl Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks Fourier polarimetry (dpeaa)DE-He213 Fourier transform (dpeaa)DE-He213 polarizationally-inhomogeneous field (dpeaa)DE-He213 phase shift (dpeaa)DE-He213 Jones-matrix (dpeaa)DE-He213 small intestine wall (dpeaa)DE-He213 |
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ddc 530 bkl 33.00 misc Fourier polarimetry misc Fourier transform misc polarizationally-inhomogeneous field misc phase shift misc Jones-matrix misc small intestine wall |
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ddc 530 bkl 33.00 misc Fourier polarimetry misc Fourier transform misc polarizationally-inhomogeneous field misc phase shift misc Jones-matrix misc small intestine wall |
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ddc 530 bkl 33.00 misc Fourier polarimetry misc Fourier transform misc polarizationally-inhomogeneous field misc phase shift misc Jones-matrix misc small intestine wall |
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Elektronische Aufsätze Aufsätze Elektronische Ressource |
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Optical memory and neural networks |
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Optical memory and neural networks |
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Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
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Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
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Kushnerick, L. Ya. |
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Optical memory and neural networks |
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Optical memory and neural networks |
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Kushnerick, L. Ya. Bodnar, L. B. Gorskii, M. P. Sydor, M. |
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Kushnerick, L. Ya. |
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10.3103/S1060992X13020070 |
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530 |
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verfasserin |
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statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
| title_auth |
Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
| abstract |
Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. |
| abstractGer |
Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. |
| abstract_unstemmed |
Abstract This work presents the data concerning a new method of laser polarimetry—Fourier transformation of biological tissues laser images. The description of the principles and methods of Fourier polarimetry in a frequency plane is provided. The optical model of polycrystalline networks of small intestine wall is suggested. The results of investigating the interrelation between the values of statistical (statistical moments of the $ 1^{st} $–$ 4^{th} $ order) and correlation (cross-correlation moments of the $ 1^{st} $–$ 4^{th} $ orders of autocorrelation function) parameters are presented. They characterize the coordinate distributions of Fourier transforms intensity of polarizationally filtered laser images of human small intestine wall and pathological changes in it. The diagnostic criteria of inflammation process in human small intestine wall and its severity degree differentiation are determined. |
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Statistical and correlation structure of fourier spectra polarizationally filtered laser images of optically anisotropic biological networks |
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https://dx.doi.org/10.3103/S1060992X13020070 |
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Bodnar, L. B. Gorskii, M. P. Sydor, M. |
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Bodnar, L. B. Gorskii, M. P. Sydor, M. |
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10.3103/S1060992X13020070 |
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2024-07-03T23:18:08.803Z |
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| score |
7.4013834 |