Two-point Stokes vector diagnostic approach for characterization of optically anisotropic biological tissues

Abstract

The purpose of the study is to demonstrate a new method of Stokes-correlometric evaluation of polarization-inhomogeneous images of optically thin (optical thickness smaller than 0.01) histological sections from optically anisotropic biological tissues of different morphological structure. This method is based on a correlation (‘two-point’) generalization of traditional optical methods for analyzing ‘one-point’ distributions of polarization states of microscopic images of biological tissues. Analytical algorithms are obtained for describing the ‘two-point’ complex parameters of the Stokes vector image of a birefringent biological tissue. An experimental technique has been developed for measuring polarization-correlation maps, i.e. the coordinate distributions of the magnitude and phase of the ‘two-point’ Stokes vector parameters. Within the framework of the statistical and correlation analysis of the obtained data, new quantitative criteria for the differentiation of the optical properties of biological tissues of various morphological structures are found. A comparative analysis of the distribution of the ‘single-point’ and ‘two-point’ parameters of the Stokes vector of polarizationally inhomogeneous images was performed. It revealed a higher sensitivity (2–5 times) of the Stokes-correlometry method to variations in orientation-phase structure of biological tissues compared to the single-point approach.

3D Mueller Matrix Reconstruction of the Optical Anisotropy Parameters of Myocardial Histopathology Tissue Samples

“…The layer-by-layer assessment of optical anisotropy W of myocardium histological sections is utilized by using first (Z 1 ) second (Z 2 ), third (Z 3 ) and fourth (Z 4 ) order statistical moments [14,15]:…”

“…The attenuation (extinction) coefficient (τ, cm −1 ) of the myocardium histological samples was assessed by standard photometry spectral approach [50], utilizing the integrating sphere [51]. The degree of depolarization (DEP, %) was measured with standard Mueller-matrix polarimeter [14,15]. In terms of statistical significance [52] the standard deviation (ϑ 2 ≤ 0.025) corresponds to a confidence interval p30.05, which demonstrates the statistical reliability of the 3D Mueller-matrix mapping method.…”

“…In particular, statistical analysis of tissue properties can give rapid results with high degrees of accuracy [10,11]. One possibility of emerging interest is to look at the optical anisotropy of the tissue, from which one can then infer the tissue structure and other properties [12][13][14][15].…”

Evolution of raw meat polarization‐based properties by means of Mueller matrix imaging

“…This approach has been also applied in previous studies. 34,50,51 The MM data can be presented in the form of two-dimensional (m × n) distributions of matrix elements, known also as Muller matrix images and indicated here as M(m × n). For the quantitative evaluation of two-dimensional distributions M (m × n), a set of the central statistical moments of the first (Z 1 ; mean value), second (Z 2 ; variance), third (Z 3 ; skewness), and fourth (Z 4 ; kurtosis) orders was used 50,[52][53][54][55] :…”

Application of Improved GS Algorithm In Cell Computing Holography

“…This pretreatment increases the complexity of the operation and inevitably affects the physiological characteristics of biological cells. It is an urgent need for the research of life science to develop new imaging analysis technology to realize undisturbed, dynamic and quantitative analysis of living, cell and subcellular samples [4][5][6][7][8].…”