Shedding the Polarized Light on Biological Tissues
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Shedding the Polarized Light on Biological Tissues
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Springer Verlag, Singapore
11/2017
96
Mole
Inglês
9789811040467
15 a 20 dias
Descrição não disponível.
Introduction1. Methods and means of polarization correlation of fields of laser radiation scattered by biological tissues 1.1. Polarization-inhomogeneous fields and methods for their analysis 1.2. Polarization mapping of microscopic images of biological tissues 1.3. Wavelet analysis of polarization maps and Mueller-matrix images of biological tissues 1.4. Fourier analysis of polarization-inhomogeneous fields 1.5. Correlation approaches to the analysis of polarization-inhomogeneous fields 1.6. The complex degree of mutual polarization of microscopic images of biological tissues 1.7. The complex degree of mutual anisotropy of biological tissues 1.8. Azimuthal polarization invariants 2. Material and methods 2.1. Azimuthally invariant polarization mapping system 2.1.1. Optical scheme of a polarization mapping system azimuth and polarization elliptic distributions of microscopic images 2.2. The system of azimuthally-invariant Mueller-matrix mapping of biological layers 2.2.1. Optical sheme of a Mueller-matrix mapping system 2.3. CDMP mapping system 2.3.1. Optical scheme of a CDMP-mapping system 2.4. CDMA mapping system 2.4.1. Optical sheme of a CDMA-mapping system for optically anisotropic networks of histological sections of biological tissues 2.5. Wavelet analysis scheme 2.6. Fourier analysis scheme 2.7. Characterization of research objects 3. Scale-selective and spatial-frequency correlometry of polarization-inhomogeneous field 3.1. Wavelet-analysis of azimuthally invariant distributions of polarization parameters of microscopic images of biological tissues 3.1.1. Wavelet-analysis of azimuthally invariant polarization maps of spatially ordered optically anisotropic networks of biological tissues 3.1.2. Wavelet-analysis of azimuthally invariant polarization maps of spatially disordered optically anisotropic networks of biological tissues 3.1.3. Diagnostic application of wavelet analysis of azimuthally invariant polarization maps 3.2. Wavelet-analysis of azimuthally invariant Mueller-matrix images of biological tissues 3.2.1. Wavelet-analysis of azimuthally invariant Mueller-matrix images of spatially ordered optically anisotropic networks of biological tissues 3.2.2. Wavelet-analysis of azimuthally invariant Mueller-matrix images of spatially disordered optically anisotropic networks of biological tissues 3.2.3. Diagnostic application of wavelet analysis of azimuthally invariant Mueller-matrix images 3.3. A brief theory of the method of spatial-frequency filtration of polarization-inhomogeneous microscopic images of histological sections of biological tissues 3.4. Fourier-analysis of azimuthally invariant distributions of polarization parameters of microscopic images of biological tissues 3.5. Fourier-analysis of azimuthally invariant Mueller-matrix images of biological tissues 4. Polarization correlometry of microscopic images of polycrystalline networks biological layers 4.1. Polarization correlometry of microscopic images of biological layers 4.1.1. Brief theory of the method 4.1.2. CDMP-mapping of microscopic images of biological layers with ordered architectonics 4.1.3. CDMP-mapping of microscopic images of biological layers with disordered architectonics 4.1.4. CDMP-mapping diagnostic features 4.2. Polarization correlometry of optically anisotropic networks of biological layers 4.2.1. CDMA-mapping of biological layers with ordered architectonics 4.2.2. CDMA mapping of biological layers with disordered architectonics 4.2.3. Diagnostic features of CDMA-mapping 5. Multifunctional stocks-correlometry of biological layers 5.1. Wavelet-analysis of CDMP-maps of microscopic images of biological tissues 5.1.1. Biological tissues with ordered architectonics 5.1.2 Biological tissues with disordered architectonics 5.1.3. Diagnostic capabilities of CDMP mapping of microscopic images of biological tissues 5.2. Wavelet analysis of biological tissue CDMA-maps 5.2.1. Biological tissues with ordered architectonics 5.2.2 Biological tissues with disordered architectonics 5.2.3. Diagnostic capabilities of CDMA-mapping of biological tissue images 5.3. Diagnostic capabilities of the Fourier-analysis of CDMP-maps of microscopic images of biological tissues 5.4. Diagnostic capabilities of the Fourier-analysis of CDMA-cards of polycrystalline networks of biological tissues Main results and conclusions References
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Introduction1. Methods and means of polarization correlation of fields of laser radiation scattered by biological tissues 1.1. Polarization-inhomogeneous fields and methods for their analysis 1.2. Polarization mapping of microscopic images of biological tissues 1.3. Wavelet analysis of polarization maps and Mueller-matrix images of biological tissues 1.4. Fourier analysis of polarization-inhomogeneous fields 1.5. Correlation approaches to the analysis of polarization-inhomogeneous fields 1.6. The complex degree of mutual polarization of microscopic images of biological tissues 1.7. The complex degree of mutual anisotropy of biological tissues 1.8. Azimuthal polarization invariants 2. Material and methods 2.1. Azimuthally invariant polarization mapping system 2.1.1. Optical scheme of a polarization mapping system azimuth and polarization elliptic distributions of microscopic images 2.2. The system of azimuthally-invariant Mueller-matrix mapping of biological layers 2.2.1. Optical sheme of a Mueller-matrix mapping system 2.3. CDMP mapping system 2.3.1. Optical scheme of a CDMP-mapping system 2.4. CDMA mapping system 2.4.1. Optical sheme of a CDMA-mapping system for optically anisotropic networks of histological sections of biological tissues 2.5. Wavelet analysis scheme 2.6. Fourier analysis scheme 2.7. Characterization of research objects 3. Scale-selective and spatial-frequency correlometry of polarization-inhomogeneous field 3.1. Wavelet-analysis of azimuthally invariant distributions of polarization parameters of microscopic images of biological tissues 3.1.1. Wavelet-analysis of azimuthally invariant polarization maps of spatially ordered optically anisotropic networks of biological tissues 3.1.2. Wavelet-analysis of azimuthally invariant polarization maps of spatially disordered optically anisotropic networks of biological tissues 3.1.3. Diagnostic application of wavelet analysis of azimuthally invariant polarization maps 3.2. Wavelet-analysis of azimuthally invariant Mueller-matrix images of biological tissues 3.2.1. Wavelet-analysis of azimuthally invariant Mueller-matrix images of spatially ordered optically anisotropic networks of biological tissues 3.2.2. Wavelet-analysis of azimuthally invariant Mueller-matrix images of spatially disordered optically anisotropic networks of biological tissues 3.2.3. Diagnostic application of wavelet analysis of azimuthally invariant Mueller-matrix images 3.3. A brief theory of the method of spatial-frequency filtration of polarization-inhomogeneous microscopic images of histological sections of biological tissues 3.4. Fourier-analysis of azimuthally invariant distributions of polarization parameters of microscopic images of biological tissues 3.5. Fourier-analysis of azimuthally invariant Mueller-matrix images of biological tissues 4. Polarization correlometry of microscopic images of polycrystalline networks biological layers 4.1. Polarization correlometry of microscopic images of biological layers 4.1.1. Brief theory of the method 4.1.2. CDMP-mapping of microscopic images of biological layers with ordered architectonics 4.1.3. CDMP-mapping of microscopic images of biological layers with disordered architectonics 4.1.4. CDMP-mapping diagnostic features 4.2. Polarization correlometry of optically anisotropic networks of biological layers 4.2.1. CDMA-mapping of biological layers with ordered architectonics 4.2.2. CDMA mapping of biological layers with disordered architectonics 4.2.3. Diagnostic features of CDMA-mapping 5. Multifunctional stocks-correlometry of biological layers 5.1. Wavelet-analysis of CDMP-maps of microscopic images of biological tissues 5.1.1. Biological tissues with ordered architectonics 5.1.2 Biological tissues with disordered architectonics 5.1.3. Diagnostic capabilities of CDMP mapping of microscopic images of biological tissues 5.2. Wavelet analysis of biological tissue CDMA-maps 5.2.1. Biological tissues with ordered architectonics 5.2.2 Biological tissues with disordered architectonics 5.2.3. Diagnostic capabilities of CDMA-mapping of biological tissue images 5.3. Diagnostic capabilities of the Fourier-analysis of CDMP-maps of microscopic images of biological tissues 5.4. Diagnostic capabilities of the Fourier-analysis of CDMA-cards of polycrystalline networks of biological tissues Main results and conclusions References
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