The method of stock-polarimetry with spatial-frequency filtering of the distributions of the Muller-matrix invariants (MMI) for analytically differentiating the manifestations of the phase anisotropy mechanisms of different-scale fibrillar networks of histological sections of biological tissues of different morphological structure and physiological state is analytically substantiated. It has been established that all statistical moments of the first and fourth orders characterizing the distribution of the values of the matrix element of the linear birefringence of the large-scale fibrillar optically anisotropic component of benign and malignant tumors are diagnostically sensitive. The following levels of balanced accuracy have been achieved: 77,8% Ri=3;4 (good quality diagnostic test), Ri=1;2 = 91,7% 94,4% (excellent quality diagnostic test). For the first time, a polarization reconstruction method with spatial-frequency differentiation of the distributions of MMI values characterizing circular birefringence of histological sections of multilayer biological tissues was developed to differentiate changes in the phase anisotropy of polycrystalline networks in the early stages of oncological pathology - precancerous conditions (simple atrophy, polyp) of the rectal wall. On this basis, a high level of balanced accuracy R ~ 85% of the diagnostic test for differentiating the manifestations of the optical activity of endometrial networks in a precancerous state has been achieved.
The use of physically sound and analytically determined algorithms for reconstructing parameters characterizing linear birefringence and dichroism of networks of biological crystals in differentiating changes in optical anisotropy associated with different degrees of severity of pathology - precancerous (atrophy and polyp endometrium) conditions of the cervix. Development and testing of the ―two-wave‖ method of the Muller-matrix reconstruction of parameter values characterizing the phase and amplitude anisotropy of polycrystalline films of bile and blood plasma for the diagnosis of systemic (type II diabetes) and oncological (breast cancer) diseases.
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