Wavelet analysis for polarization maps of networks formed by liquid biological crystals in blood plasma: statistical and fractal approaches

Considered in this paper are the possibilities of local wavelet analysis for polarization-inhomogeneous images inherent to blood plasma of healthy and oncologically ill patients. Determined is the set of statistical, correlation and fractal parameters for distributions of wavelet coefficients that characterize different scales of polarization maps inherent to polycrystalline networks of amino-acids in blood plasma. Established are criteria for differentiation of processes that provide transformation of birefringent optically-anisotropic structures in blood plasma for various scales of their geometrical dimensions

Polarization Singular Structure of Laser Images of Stratified Phase Inhomogeneous Layers for the Diagnostics and Classification of their Optical Properties

Presented in this work are the results of investigation aimed at analysis of coordinate distri butions for azimuths and ellipticity of polarization (polarization maps) in laser images of three types of phase inhomogeneous layers, namely: rough, ground and bulk scattering layers. To characterize polarization maps for all the types of phase inhomogeneous layers, the authors have offered to use three groups of parameters: statistical moments of the first to the fourth orders, autocorrelation func tions and logarithmic dependences for power spectra related to distributions of azimuths and ellipticity of polarization inherent to phase inhomogeneous layers laser images. Ascertained are the criteria for diagnostics and classification of phase inhomogeneous layers optical properties

Complex degree of mutual anisotropy of biological liquid crystals nets

This paper is aimed to investigate the potentiality of describing and differentiating optical-anisotropic properties of biological liquid crystal net by statistic analysis of coordinate distributions of a new analytical parameter, a complex degree of mutual anisotrop

Mueller-matrix diagnostics of optical properties inherent to polycrystalline networks of human blood plasma

This work is aimed at studying the possibilities of Mueller-matrix diagnostics applied to optically anisotropic birefringent polycrystalline networks inherent to amino acids in human blood plasma. Determined here are interrelations between statistical moments of the first to fourth orders as well as fractal dimensionalities that characterize coordinate distributions of blood plasma Mueller-matrix elements and the physiological state of a human organism

Investigation of singularities inherent to Mueller matrix images of biological crystals: diagnostics of their birefringent structure

In this work, we have theoretically grounded conceptions of singularities observed in coordinate distributions of Mueller matrix elements for a network of human tissue biological crystals. Found is interrelation between polarization singularities of laser images inherent to these biological crystals and characteristic values of above matrix elements. We have determined criteria for statistical diagnostics of pathological changes in the birefringent structure of biological crystal network by using myometrium tissue as an example

Wavelet analysis for polarization maps of networks formed by liquid biological crystals in blood plasma: statistical and fractal approaches

Considered in this paper are the possibilities of local wavelet analysis for polarization-inhomogeneous images inherent to blood plasma of healthy and oncologically ill patients. Determined is the set of statistical, correlation and fractal parameters for distributions of wavelet coefficients that characterize different scales of polarization maps inherent to polycrystalline networks of amino-acids in blood plasma. Established are criteria for differentiation of processes that provide transformation of birefringent optically-anisotropic structures in blood plasma for various scales of their geometrical dimensions

Wavelet analysis for Mueller matrix images of biological crystal networks

Theoretically grounded in this work is the efficiency of using the statistical and fractal analyses for distributions of wavelet coefficients for Mueller-matrix images of biological crystal networks inherent to human tissues. The authors found interrelations between statistical moments and power spectra for distributions of wavelet coefficients as well as orientation-phase changes in networks of biological crystals. Also determined are criteria for statistical and fractal diagnostics of changes in the birefringent structure of biological crystal network, which corresponds to pathological changes in tissues

Laser autofluorescent microscopy of histological sections of parenchymatous biological tissues of the dead

The results of experimental testing of the diagnostic capabilities of the method of spectral-selective fluorescence microscopy of temporary necrotic changes in histological sections of kidney internal organs are presented