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1. Wavelet-analysis for Laser Images of Blood Plasma

Author

ANGELSKY, A.-P., KARACHEVTSEV, A. V., BALANETSKA, V. O., DUBOLAZOV, O. V., TOMKA, Y. Y., and USHENKO, Y. O.

Subjects
birefringence, correlation functions, crystal, fractal, polarization, statistical moments, wavelet-analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
Abstract

The possibilities of the local wavelet-analysis of polarization-inhomogeneous laser image of human blood plasma were considered. The set of statistics, correlation and fractal parameters of the distributions of wavelet-coefficients that are characterize different scales of the polarization maps of polycrystalline networks of amino acids of blood plasma were defined. The criteria for the differentiation of the transformation of birefringence optical-anisotropic structures of blood plasma at different scales of their geometric dimensions were determined.

Published
2011
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2. Polarization-singular Processing of Phase-inhomogeneous Layers Laser Images to Diagnose and Classify their Optical Properties

Author

USHENKO, Y. O., TOMKA, Y. Y., MISEVICH, I. Z., ANGELSKY, A.-P., and BACHINSKY, V. T.

Subjects
autocorrelation, phase-inhomogeneous layer, polarization, rough surface, statistical moments, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
Abstract

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

Published
2011
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3. Statistical and Fractal Processing of Phase Images of Human Biological Fluids

Author

MARCHUK, Y. I., TOMKA, Y. Y., USHENKO, Y. O., and BALANETCKA, V. O.

Subjects
birefringence, biological fluid, correlation, Jones matrix, liquid crystal, phase, polarization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
Abstract

Performed in this work are complex statistical and fractal analyses of phase properties inherent to birefringence networks of liquid crystals consisting of optically-thin layers prepared from human bile. Within the framework of a statistical approach, the authors have investigated values and ranges for changes of statistical moments of the 1-st to 4-th orders that characterize coordinate distributions for phase shifts between orthogonal components of amplitudes inherent to laser radiation transformed by human bile with various pathologies. Using the Gramm-Charlie method, ascertained are correlation criteria for differentiation of phase maps describing pathologically changed liquid-crystal networks. In the framework of the fractal approach, determined are dimensionalities of self-similar coordinate phase distributions as well as features of transformation of logarithmic dependences for power spectra of these distributions for various types of human pathologies.

Published
2010
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4. Mueller-matrix imaging polarimetry elevated by wavelet decomposition and polarization-singular processing for analysis of specific cancerous tissue pathology

Author

Sdobnov, A. (Anton), Ushenko, V. A. (Volodymir A.), Trifonyuk, L. (Liliya), Bakun, O. (Oksana), Garazdyuk, M. (Marta), Soltys, I. V. (Irina V.), Dubolazov, O. (Olexander), Ushenko, O. G. (Olexander G.), Ushenko, Y. A. (Yuriy A.), Bykov, A. (Alexander), Meglinski, I. (Igor), Sdobnov, A. (Anton), Ushenko, V. A. (Volodymir A.), Trifonyuk, L. (Liliya), Bakun, O. (Oksana), Garazdyuk, M. (Marta), Soltys, I. V. (Irina V.), Dubolazov, O. (Olexander), Ushenko, O. G. (Olexander G.), Ushenko, Y. A. (Yuriy A.), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

Significance: Mueller-matrix polarimetry is a powerful method allowing for the visualization of malformations in biological tissues and quantitative evaluation of alterations associated with the progression of various diseases. This approach, in fact, is limited in observation of spatial localization and scale-selective changes in the poly-crystalline compound of tissue samples. Aim: We aimed to improve the Mueller-matrix polarimetry approach by implementing the wavelet decomposition accompanied with the polarization-singular processing for express differential diagnosis of local changes in the poly-crystalline structure of tissue samples with various pathology. Approach: Mueller-matrix maps obtained experimentally in transmitted mode are processed utilizing a combination of a topological singular polarization approach and scale-selective wavelet analysis for quantitative assessment of the adenoma and carcinoma histological sections of the prostate tissues. Results: A relationship between the characteristic values of the Mueller-matrix elements and singular states of linear and circular polarization is established within the framework of the phase anisotropy phenomenological model in terms of linear birefringence. A robust method for expedited (up to ∼15 min) polarimetric-based differential diagnosis of local variations in the poly-crystalline structure of tissue samples containing various pathology abnormalities is introduced. Conclusions: The benign and malignant states of the prostate tissue are identified and assessed quantitatively with a superior accuracy provided by the developed Mueller-matrix polarimetry approach.

Published
2023

7. Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging

Author

Sieryi, O. (Oleksii), Ushenko, Y. (Yuriy), Ushenko, V. (Volodimir), Dubolazov, O. (Olexander), Syvokorovskaya, A. V. (Anastasia V.), Vanchulyak, O. (Oleh), Ushenko, A. G. (Alexander G.), Gorsky, M. (Mykhailo), Tomka, Y. (Yuriy), Bykov, A. (Alexander), Yan, W. (Wenjun), Meglinski, I. (Igor), Sieryi, O. (Oleksii), Ushenko, Y. (Yuriy), Ushenko, V. (Volodimir), Dubolazov, O. (Olexander), Syvokorovskaya, A. V. (Anastasia V.), Vanchulyak, O. (Oleh), Ushenko, A. G. (Alexander G.), Gorsky, M. (Mykhailo), Tomka, Y. (Yuriy), Bykov, A. (Alexander), Yan, W. (Wenjun), and Meglinski, I. (Igor)

Abstract

A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization.

Published
2022

11. Embossed topographic depolarisation maps of biological tissues with different morphological structures

Author

Ushenko, V. A. (Volodimir A.), Hogan, B. T. (Benjamin T.), Dubolazov, A. (Alexander), Grechina, A. V. (Anastasiia V.), Gorsky, M. (Mikhailo), Ushenko, A. G. (Alexander G.), Ushenko, Y. O. (Yurii O.), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

Layered topographic maps of the depolarisation due to diffuse biological tissues are produced using a polarisation-holographic Mueller matrix method approach. Histological sections of myocardial tissue with a spatially structured optically anisotropic fibrillar network, and parenchymal liver tissue with a polycrystalline island structure are successfully mapped. The topography of the myocardium maps relates to the scattering multiplicity within the volume and the specific morphological structures of the biological crystallite networks. The overall depolarisation map is a convolution of the effects of these two factors. Parenchymal liver tissues behave broadly similarly, but the different biological structures present cause the degree of scattering multiplicity to increase more rapidly with increasing phase. Through statistical analysis, the dependences of the magnitudes of the first to fourth order statistical moments are determined. These moments characterise the changing distributions of the depolarisation values through the volume of biological tissues with different morphological structures. Parenchymal liver tissue depolarisation maps are characterised by larger mean and variance, and less skewness and kurtosis, compared to the distributions for the myocardium. This work demonstrates that a polarisation-holographic Mueller matrix method can be applied to the assessment of the 3D morphology of biological tissues, with applications in disease diagnosis.

Published
2021

12. 3D Mueller matrix reconstruction of the optical anisotropy parameters of myocardial histopathology tissue samples

Author

Hogan, B. T. (Benjamin T.), Ushenko, V. A. (Volodimyr A.), Syvokorovskaya, A.-V. (Anastasia-Vira), Dubolazov, A. V. (Alexander V.), Vanchulyak, O. Y. (Oleg Ya.), Ushenko, A. G. (Alexander G.), Ushenko, Y. A. (Yuriy A.), Gorsky, M. P. (Mykhailo P.), Tomka, Y. (Yuriy), Kuznetsov, S. L. (Sergey L.), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Subjects
Mueller matrix, histopathology, optical diagnosis, polarized light, optical anisotropy
Abstract

Diseases affecting myocardial tissues are currently a leading cause of death in developed nations. Fast and reliable techniques for analysing and understanding how tissues are affected by disease and respond to treatment are fundamental to combating the effects of heart disease. A 3D Mueller matrix method that reconstructs the linear and circular birefringence and dichroism parameters has been developed to image the biological structures in myocardial tissues. The required optical data is gathered using a Stokes polarimeter and then processed mathematically to recover the individual optical anisotropy parameters, expanding on existing 2D Mueller matrix implementations by combining with a digital holography approach. Changes in the different optical anisotropy parameters are rationalised with reference to the general tissue structure, such that the structures can be identified from the anisotropy distributions. The first to fourth order statistical moments characterising the distribution of the parameters of the optical anisotropy of the polycrystalline structure of the partially depolarising layer of tissues in different phase sections of their volumes are investigated and analysed. The third and fourth order statistical moments are found to be the most sensitive to changes in the phase and amplitude anisotropy. The possibility of forensic medical differentiation of death in cases of acute coronary insufficiency (ACI) and coronary heart disease (CHD) is considered as a diagnostic application. The optimal phase plane (θ∗ = 0.7rad) has been found, in which excellent differentiation accuracy is achieved ACI and CHD -Ac(ΔZ₄(θ∗,ΦL,ΔL))=93.05%÷95.8%. A comparative analysis of the accuracy of the Mueller-matrix reconstruction of the parameters of the optical anisotropy of the myocardium in different phase planes (θ = 0.9rad and θ = 1.2rad), as well as the 2D Mueller-matrix reconstruction method was carried out. This work demonstrates that a 3D Mueller matrix method can be used to effectively analyse the optical anisotropy parameters of myocardial tissues with potential for definitive diagnostics in forensic medicine.

Published
2021

13. 3D Mueller matrix mapping of layered distributions of depolarisation degree for analysis of prostate adenoma and carcinoma diffuse tissues

Author

Ushenko, V. A. (Volodymyr A.), Hogan, B. T. (Benjamin T.), Dubolazov, A. (Alexander), Piavchenko, G. (Gennadii), Kuznetsov, S. L. (Sergey L.), Ushenko, A. G. (Alexander G.), Ushenko, Y. O. (Yuriy O.), Gorsky, M. (Mykhailo), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

Prostate cancer is the second most common cancer globally in men, and in some countries is now the most diagnosed form of cancer. It is necessary to differentiate between benign and malignant prostate conditions to give accurate diagnoses. We aim to demonstrate the use of a 3D Mueller matrix method to allow quick and easy clinical differentiation between prostate adenoma and carcinoma tissues with different grades and Gleason scores. Histological sections of benign and malignant prostate tumours, obtained by radical prostatectomy, were investigated. We map the degree of depolarisation in the different prostate tumour tissues using a Mueller matrix polarimeter set-up, based on the superposition of a reference laser beam with the interference pattern of the sample in the image plane. The depolarisation distributions can be directly related to the morphology of the biological tissues. The dependences of the magnitude of the 1st to 4th order statistical moments of the depolarisation distribution are determined, which characterise the distributions of the depolarisation values. To determine the diagnostic potential of the method three groups of histological sections of prostate tumour biopsies were formed. The first group contained 36 adenoma tissue samples, while the second contained 36 carcinoma tissue samples of a high grade (grade 4: poorly differentiated—4 + 4 Gleason score), and the third group contained 36 carcinoma tissue samples of a low grade (grade 1: moderately differentiated—3 + 3 Gleason score). Using the calculated values of the statistical moments, tumour tissues are categorised as either adenoma or carcinoma. A high level (> 90%) accuracy of differentiation between adenoma and carcinoma samples was achieved for each group. Differentiation between the high-grade and low-grade carcinoma samples was achieved with an accuracy of 87.5%. The results demonstrate that Mueller matrix mapping of the depolarisation distribution of prostate tumour tissues can accurately differentiate between adenoma and carcinoma, and between different grades of carcinoma. This represents a first step towards the implementation of 3D Mueller matrix mapping for clinical analysis and diagnosis of prostate tumours.

Published
2021

14. Digital histo-biophotonics:embossed topographic depolarization mapping of tissue samples

Author

Grechina, A. (A.V.), Venediktov, A. (A.A.), Piavchenko, G. (G.A.), Boronikhina, T. (T.V.), Ushenko, V. (V.A.), Dubolazov, A. (A.), Gorsky, M. (M.), Ushenko, A. (A.G.), Ushenko, Y. (Yu.O.), Bykov, A. (A.), Kuznetsov, S. (S.L.), and Meglinski, I. (I.)

Abstract

New Mueller matrix-based embossed depolarization mapping is developed to assess quantitatively morphological biotissues abnormalities in 3D. Typical results demonstrating polarization property variations for cardiac and liver tissues are presented.

Published
2021

18. 3D Mueller-matrix-based azimuthal invariant tomography of polycrystalline structure within benign and malignant soft-tissue tumours

Author

Peyvasteh, M. (Motahareh), Tryfonyuk, L. (Liliya), Ushenko, V. (Vladimir), Syvokorovskaya, A.-V. (Anastasia-Vira), Dubolazov, A. (Alexander), Vanchulyak, O. (Oleg), Ushenko, A. (Alexander), Ushenko, Y. (Yuri), Gorsky, M. (Mykhailo), Sidor, M. (Maxim), Tomka, Y. (Yuriy), Soltys, I. (Iryna), Bykov, A. (Alexander), Meglinski, I. (Igor), Peyvasteh, M. (Motahareh), Tryfonyuk, L. (Liliya), Ushenko, V. (Vladimir), Syvokorovskaya, A.-V. (Anastasia-Vira), Dubolazov, A. (Alexander), Vanchulyak, O. (Oleg), Ushenko, A. (Alexander), Ushenko, Y. (Yuri), Gorsky, M. (Mykhailo), Sidor, M. (Maxim), Tomka, Y. (Yuriy), Soltys, I. (Iryna), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

We introduce a method of azimuthally invariant 3D Mueller-matrix (MM) layer-by-layer mapping of the phase and amplitude parameters of anisotropy of the partially depolarizing layers of benign (adenoma) and malignant (carcinoma) prostate tumours. The technique is based on the analysis of spatial variations of Mueller matrix invariant (MMI) of histological sections of benign (adenoma) and malignant (carcinoma) tissue samples. The phase dependence of magnitudes of the first-to-fourth order statistical moments is applied to characterize 3D spatial distributions of MMI of linear and circular birefringence and dichroism of prostate tumours. The high order statistical moments and phase sections of the optimal differentiation of the polycrystalline structure of tissue samples are revealed. The obtained results are compared with the results obtained by conventional methods utilizing polarized light, including 2D and 3D Mueller matrix imaging.

Published
2020

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

Author

Peyvasteh, M. (Motahareh), Dubolazov, A. (Alexander), Popov, A. (Alexey), Ushenko, A. (Alexander), Ushenko, Y. (Yuriy), Meglinski, I. (Igor), Peyvasteh, M. (Motahareh), Dubolazov, A. (Alexander), Popov, A. (Alexey), Ushenko, A. (Alexander), Ushenko, Y. (Yuriy), and Meglinski, I. (Igor)

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.

Published
2020

22. Polarization singularity analysis of Mueller-matrix invariants of optical anisotropy of biological tissues samples in cancer diagnostics.

Author

Ushenko, V O, Trifonyuk, L, Ushenko, Y A, Dubolazov, O V, Gorsky, M P, and Ushenko, A G

Subjects
TISSUES, ANISOTROPY, COMPUTER simulation, STATISTICS
Abstract

An approach of azimuthally invariant Mueller-matrix description of the formation of polarization singularities networks of object fields of optically anisotropic biological tissues is proposed. The main formation scenarios of the topological polarization-singular structure of the boundary field of networks of optically anisotropic cylinders are determined by means of computer simulation. In order to assess the polarization-singular structure of the object field of real biological tissues, an original Mueller-matrix method of statistical analysis of the number of L and C points has been developed. [ABSTRACT FROM AUTHOR]

Published
2021
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23. Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks

Author

Borovkova, M. (Mariia), Trifonyuk, L. (Larysa), Ushenko, V. (Volodymyr), Dubolazov, O. (Olexander), Vanchulyak, O. (Oleg), Bodnar, G. (George), Ushenko, Y. (Yurii), Olar, O. (Olena), Ushenko, O. (Olexander), Sakhnovskiy, M. (Michael), Bykov, A. (Alexander), Meglinski, I. (Igor), Borovkova, M. (Mariia), Trifonyuk, L. (Larysa), Ushenko, V. (Volodymyr), Dubolazov, O. (Olexander), Vanchulyak, O. (Oleg), Bodnar, G. (George), Ushenko, Y. (Yurii), Olar, O. (Olena), Ushenko, O. (Olexander), Sakhnovskiy, M. (Michael), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

We introduce a Mueller-matrix imaging polarization-based approach for the quantitative digital screening of the polycrystalline structure of fibrillary-based biological tissues in vitro. The morphometric evaluation of histological sections of myocardium was performed utilizing the high-order statistical moments calculated based on the spatial distribution of linear and circular birefringence and dichroism obtained experimentally. We demonstrate that spatial distributions of phase of light and optical anisotropy of scattering inherent to fibrillar networks of myocardium at different necrotic stages can be effectively used as a quantitative marker of stages of myosin fibril degradation. Processing the images of phase of light scattered in biological tissues with high order statistical analysis provides a functional tool for the quantitative characterization of necrotic conditions of the myocardium.

Published
2019

24. Biomedical applications of Jones-matrix tomography to polycrystalline films of biological fluids

Author

Ushenko, V. A. (V. A.), Sdobnov, A. Y. (A. Yu.), Mishalov, W. D. (W. D.), Dubolazov, A. V. (A. V.), Olar, O. V. (O. V.), Bachinskyi, V. T. (V. T.), Ushenko, A. G. (A. G.), Ushenko, Y. A. (Yu. A.), Wanchuliak, O. Y. (O. Ya.), Meglinski, I. (I.), Ushenko, V. A. (V. A.), Sdobnov, A. Y. (A. Yu.), Mishalov, W. D. (W. D.), Dubolazov, A. V. (A. V.), Olar, O. V. (O. V.), Bachinskyi, V. T. (V. T.), Ushenko, A. G. (A. G.), Ushenko, Y. A. (Yu. A.), Wanchuliak, O. Y. (O. Ya.), and Meglinski, I. (I.)

Abstract

Algorithms for reconstruction of linear and circular birefringence-dichroism of optically thin anisotropic biological layers are presented. The technique of Jones-matrix tomography of polycrystalline films of biological fluids of various human organs has been developed and experimentally tested. The coordinate distributions of phase and amplitude anisotropy of bile films and synovial fluid taken from the knee joint are determined and statistically analyzed. Criteria (statistical moments of 3rd and 4th orders) of differential diagnostics of early stages of cholelithiasis and septic arthritis of the knee joint with excellent balanced accuracy were determined. Data on the diagnostic efficiency of the Jones-matrix tomography method for polycrystalline plasma (liver disease), urine (albuminuria) and cytological smears (cervical cancer) are presented.

Published
2019

25. Stokes-correlometry analysis of biological tissues with polycrystalline structure

Author

Ushenko, A. (Alexander), Sdobnov, A. (Anton), Dubolazov, A. (Alexander), Grytsiuk, M. (Marta), Ushenko, Y. (Yuriy), Bykov, A. (Alexander), Meglinski, I. (Igor), Ushenko, A. (Alexander), Sdobnov, A. (Anton), Dubolazov, A. (Alexander), Grytsiuk, M. (Marta), Ushenko, Y. (Yuriy), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

Utilizing Stokes-correlometry analysis a new diagnostic approach has been introduced for quantitative assessment of polarization images of histological sections of optically anisotropic biological tissues with different morphological structures and physiological conditions. The developed approach is based on the quantitative assessment of coordinate and phase distributions of the Stokes vector of scattered light. A combined use of statistic, correlation, and fractal analysis is used for resolving variations in optical anisotropy of biological samples. The proposed combined application of the statistical, correlation, and fractal-based evaluates of spatial distributions of ‘single-point’ polarization azimuth, ellipticity, and ‘two-point’ Stokes vector parameters of polarization images of biological tissues histological sections demonstrates a high accuracy (Ac ≥ 90%) in monitoring of optical anisotropy variations within biological tissues.

Published
2019

26. Mapping of polycrystalline films of biological fluids utilizing the Jones-matrix formalism

Author

Ushenko, V. A. (Vladimir A), Dubolazov, A. V. (Alexander V), Pidkamin, L. Y. (Leonid Y), Sakchnovsky, M. Y. (Michael Yu), Bodnar, A. B. (Anna B), Ushenko, Y. A. (Yuriy A), Ushenko, A. G. (Alexander G), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Subjects
Jones-matrix formalism, Condensed Matter::Materials Science, polarization, polarimetric imaging, scattering, Physics::Optics, tissue characterization, polarimetry
Abstract

Utilizing a polarized light approach, we reconstruct the spatial distribution of birefringence and optical activity in polycrystalline films of biological fluids. The Jones-matrix formalism is used for an accessible quantitative description of these types of optical anisotropy. We demonstrate that differentiation of polycrystalline films of biological fluids can be performed based on a statistical analysis of the distribution of rotation angles and phase shifts associated with the optical activity and birefringence, respectively. Finally, practical operational characteristics, such as sensitivity, specificity and accuracy of the Jones-matrix reconstruction of optical anisotropy, were identified with special emphasis on biomedical application, specifically for differentiation of bile films taken from healthy donors and from patients with cholelithiasis.

Published
2018

27. 3D Mueller-matrix diffusive tomography of polycrystalline blood films for cancer diagnosis

Author

Ushenko, V. (Volodimir), Sdobnov, A. (Anton), Syvokorovskaya, A. (Anna), Dubolazov, A. (Alexander), Vanchulyak, O. (Oleh), Ushenko, A. (Alexander), Ushenko, Y. (Yurii), Gorsky, M. (Mykhailo), Sidor, M. (Maxim), Bykov, A. (Alexander), Meglinski, I. (Igor), Ushenko, V. (Volodimir), Sdobnov, A. (Anton), Syvokorovskaya, A. (Anna), Dubolazov, A. (Alexander), Vanchulyak, O. (Oleh), Ushenko, A. (Alexander), Ushenko, Y. (Yurii), Gorsky, M. (Mykhailo), Sidor, M. (Maxim), Bykov, A. (Alexander), and Meglinski, I. (Igor)

Abstract

The decomposition of the Mueller matrix of blood films has been carried out using differential matrices with polarized and depolarized parts. The use of a coherent reference wave is applied and the algorithm of digital holographic reconstruction of the field of complex amplitudes is used. On this basis, the 3D Mueller-matrix diffuse tomography method — the reconstruction of distributions of fluctuations of linear and circular birefringence of depolarizing polycrystalline films of human blood is analytically justified and experimentally tested. The dynamics of the change in the magnitude of the statistical moments of the first-fourth order, which characterize layer-by-layer distributions of fluctuations in the phase anisotropy of the blood film, is examined and analyzed. The most sensitive parameters for prostate cancer are the statistical moments of the third and fourth orders, which characterize the asymmetry and kurtosis of fluctuations in the linear and circular birefringence of blood films. The excellent accuracy of differentiation obtained polycrystalline films of blood from healthy donors and patients with cancer patients was achieved.

Published
2018

28. Complementary analysis of Mueller-matrix images of optically anisotropic highly scattering biological tissues

Author

Borovkova, M. (Mariia), Peyvasteh, M. (Motahareh), Dubolazov, O. (Olexander), Ushenko, Y. (Yurii), Ushenko, V. (Volodymyr), Bykov, A. (Alexander), Deby, S. (Stanislas), Rehbinder, J. (Jean), Novikova, T. (Tatiana), Meglinski, I. (Igor), Borovkova, M. (Mariia), Peyvasteh, M. (Motahareh), Dubolazov, O. (Olexander), Ushenko, Y. (Yurii), Ushenko, V. (Volodymyr), Bykov, A. (Alexander), Deby, S. (Stanislas), Rehbinder, J. (Jean), Novikova, T. (Tatiana), and Meglinski, I. (Igor)

Abstract

Background: Using optical techniques for tissue diagnostics (so-called ‘optical biopsy’) has been a subject of extensive research for many years. Various groups have been exploring different spectral and/or imaging modalities (e.g. diffuse reflectance spectroscopy, autofluorescence, Raman spectroscopy, optical coherence tomography (OCT), polarized light microscopy, etc.) for biomedical applications. In this paper, we report on using multi-wavelength imaging Mueller polarimetry combined with an appropriated image post-processing for the detection of tissue malignancy. Methods: We investigate a possibility of complementary analysis of Mueller matrix images obtained for turbid tissue-like scattering phantoms and excised human normal and cancerous colorectal tissue samples embedded in paraffin. Combined application of correlation, fractal and statistical analysis was employed to assess quantitatively the polarization-inhomogeneous scattered fields observed at the surface of tissue samples. Results: The combined analysis of the polarimetric images of paraffin-embedded tissue blocks has proved to be an efficient tool for the unambiguous detection of tissue malignant transformation. A fractal structure was clearly observed at spatial distributions of depolarization of light scattered in healthy tissues in a visible range of spectrum, while corresponding distributions for cancerous tissues did not show such dependence. We demonstrate that paraffin does not destroy a fractal structure of spatial distribution of depolarization. Thus, the loss of fractality in spatial distributions of depolarization for cancerous tissue is related to the structural changes in the tissue sample induced by cancer itself and, therefore, may serve as a marker of the disease. Conclusions: The obtained results emphasize that a combined use of statistical, correlation and fractal analysis for the Mueller-matrix image post-processing is an effective approach for an assessment of variations of

Published
2018

37. Mueller-Matrix Interferometric Multifractal Scaling of Optically Anisotropic Architectonics of Diffuse Blood Facies: Fundamental and Applied Aspects.

Author

Ushenko Y, Ushenko A, Dubolazov A, Soltys I, Litvinenko O, Wanchuliak O, Sarkisova Y, Mikirin I, Salega O, Zheng J, and Bin L

Abstract

The article describes a technique for digital holographic reconstruction of complex amplitude fields in diffuse blood facies using laser polarization-interference phase scanning to isolate a single scattered component of the object field. This method serves as the basis for developing algorithms for Mueller-matrix reconstruction of linear and circular birefringence parameters in the polycrystalline architectonics of blood facies. Statistical (central moments of the 1st-4th orders) and multifractal analyses (fractal dimension spectra) are applied to study the optical anisotropy maps of polycrystalline networks during blood dehydration. The study explores a practical application in the differential diagnosis of blood loss volume, identifying higher-order central moments (skewness, kurtosis) as sensitive markers. The method achieved a maximum accuracy of 92.9% in differentiating blood loss volume., (© 2025 Wiley‐VCH GmbH.)

Published
2025
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38. Blood Plasma Film Multifractal Scanning in COVID-19 Consequences Diagnostics.

Author

Ushenko A, Pavlyukovich N, Khukhlina O, Pavlyukovich O, Soltys I, Dubolazov A, Ushenko Y, Gordey I, Zheng J, Chen Z, and Bin L

Subjects
Humans, Wavelet Analysis, Algorithms, COVID-19 blood, Fractals, Plasma chemistry
Abstract

A 3D phase scanning method was applied to study blood plasma facies, generating layered polarization maps of the object field. The most sensitive parameters to changes in birefringence distribution were identified. Multifractal analysis using wavelet transforms and fractal dimension spectra provided specific insights into the scale self-similarity of the polarization maps. The multifractal spectra of ellipticity distributions were algorithmically derived, revealing that the third- and fourth-order statistical moments were most sensitive to changes in the supramolecular networks of the facies. These findings were successfully applied to differentiate post-COVID-19 effects with high accuracy., (© 2024 Wiley‐VCH GmbH.)

Published
2024
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39. 3D polarization-interference holographic histology for wavelet-based differentiation of the polycrystalline component of biological tissues with different necrotic states. Forensic applications.

Author

Ushenko A, Dubolazov A, Zheng J, Litvinenko A, Gorsky M, Ushenko Y, Soltys I, Salega O, Chen Z, and Wanchuliak O

Subjects
Lasers, Spectrum Analysis, Histological Techniques, Myocardium, Holography
Abstract

Significance: The interference-holographic method of phase scanning of fields of scattered laser radiation is proposed. The effectiveness of this method for the selection of variously dispersed components is demonstrated. This method made it possible to obtain polarization maps of biological tissues at a high level of depolarized background. The scale-selective analysis of such maps was used to determine necrotic changes in the optically anisotropic architectonics of biological tissues., Objective: Development and experimental approbation of layered phase polarimetry of repeatedly scattered fields in diffuse layers of biological tissues. Application of scale-selective processing of the found coordinate distributions of polarization states in various phase sections of object fields. Determination of criteria (markers) for histological differential diagnosis of the causes of necrotic changes in optical anisotropy of biological tissues., Approach: We used a synthesis of three instrumental and analytical methods. Polarization-interference registration of laser radiation scattered by a sample of biological tissue. Digital holographic reconstruction and layered phase scanning of distributions of complex amplitudes of the object field. Analytical determination of polarization maps of various phase cross-sections of repeatedly scattered radiation. Application of wavelet analysis of the distributions of polarization states in the phase plane of a single scattered component of an object field. Determination of criteria (markers) for differential diagnosis of necrotic changes in biological tissues with different morphological structure. Two cases are considered. The first case is the myocardium of those who died as a result of coronary heart disease and acute coronary insufficiency. The second case is lung tissue samples of deceased with bronchial asthma and fibrosis., Results: A method of polarization-interference mapping of diffuse object fields of biological tissues has been developed and experimentally implemented. With the help of digital holographic reconstruction of the distributions of complex amplitudes, polarization maps in various phase sections of a diffuse object field are found. The wavelet analysis of azimuth and ellipticity distributions of polarization in the phase plane of a single scattered component of laser radiation is used. Scenarios for changing the amplitude of the wavelet coefficients for different scales of the scanning salt-like MHAT function are determined. Statistical moments of the first to fourth orders are determined for the distributions of the amplitudes of the wavelet coefficients of the azimuth maps and the ellipticity of polarization. As a result, diagnostic markers of necrotic changes in the myocardium and lung tissue were determined. The statistical criteria found are the basis for determining the accuracy of their differential diagnosis of various necrotic states of biological tissues., Conclusions: Necrotic changes caused by "coronary artery disease-acute coronary insufficiency" and "asthma-pulmonary fibrosis" were demonstrated by the method of wavelet differentiation with polarization interference with excellent accuracy., (© 2024 The Authors.)

Published
2024
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40. 3D digital polarization-holographic wavelet histology in determining the duration of mechanical damage to the myocardium.

Author

Ushenko A, Zheng J, Litvinenko A, Gorsky M, Wanchuliak O, Dubolazov A, Ushenko Y, Soltys I, Salega O, and Chen Z

Subjects
Myocardium pathology, Heart diagnostic imaging
Abstract

We aimed developing and experimentally validating methods for 3D scale-selective polarimetry of multiply scattered fields in diffuse myocardium layers for mechanical myocardial injury prescription histological differential diagnostics. We used the synthesis of diffuse object field polarization-interference registration and polarization-inhomogeneous field digital holographic reconstruction and layer-by-layer complex amplitudes distributions The method for selection single and diffuse object field multiply scattered components polarization maps is proposed. The conditions for eliminating the distorting influence of a depolarized background high level are found. On the basis of еру object field single scattered component polarization maps a large-scale selective wavelet analysis the criteria (markers) for mechanical myocardial injury different prescription diagnosis was determinate. Excellent accuracy mechanical injury myocardium necrotic changes with different duration using polarization-interference wavelet differentiation were achieved., (© 2023 Wiley‐VCH GmbH.)

Published
2024
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41. Optical Sensor System for 3D Jones Matrix Reconstruction of Optical Anisotropy Maps of Self-Assembled Polycrystalline Soft Matter Films.

Author

Wójcik W, Hu Z, Ushenko Y, Smolarz A, Soltys I, Dubolazov O, Ushenko O, Litvinenko O, Mikirin I, Gordey I, Pavlyukovich O, Pavlov S, Pavlyukovich N, Amirgaliyeva S, Kalizhanova A, and Aitkulov Z

Subjects
Female, Humans, Anisotropy, Microscopy, Polarization methods, Birefringence, Proteins, Optical Devices
Abstract

Our work uses a polarization matrix formalism to analyze and algorithmically represent optical anisotropy by open dehydration of blood plasma films. Analytical relations for Jones matrix reconstruction of optical birefringence maps of protein crystal networks of dehydrated biofluid films are found. A technique for 3D step-by-step measurement of the distributions of the elements of the Jones matrix or Jones matrix images (JMI) of the optically birefringent structure of blood plasma films (BPF) has been created. Correlation between JMI maps and corresponding birefringence images of dehydrated BPF and saliva films (SF) obtained from donors and prostate cancer patients was determined. Within the framework of statistical analysis of layer-by-layer optical birefringence maps, the parameters most sensitive to pathological changes in the structure of dehydrated films were found to be the central statistical moments of the 1st to 4th orders. We physically substantiated and experimentally determined the sensitivity of the method of 3D polarization scanning technique of BPF and SF preparations in the diagnosis of endometriosis of uterine tissue.

Published
2024
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42. Optical anisotropy composition of benign and malignant prostate tissues revealed by Mueller-matrix imaging.

Author

Sieryi O, Ushenko Y, Ushenko V, Dubolazov O, Syvokorovskaya AV, Vanchulyak O, Ushenko AG, Gorsky M, Tomka Y, Bykov A, Yan W, and Meglinski I

Abstract

A Mueller matrix imaging approach is employed to disclose the three-dimensional composition framework of optical anisotropy within cancerous biotissues. Visualized by the Mueller matrix technique spatial architecture of optical anisotropy of tissues is characterised by high-order statistical moments. Thus, quantitative analysis of the spatial distribution of optical anisotropy, such as linear and circular birefringence and dichroism, is revealed by using high-order statistical moments, enabling definitively discriminate prostate adenoma and carcinoma. The developed approach provides greater (>90%) accuracy of diagnostic achieved by using either the 3-rd or 4-th order statistical moments of the linear anisotropy parameters. Noticeable difference is observed between prostate adenoma and carcinoma tissue samples in terms of the extinction coefficient and the degree of depolarisation. Juxtaposition to other optical diagnostic modalities demonstrates the greater accuracy of the approach described herein, paving the way for its wider application in cancer diagnosis and tissue characterization., Competing Interests: The authors declare no conflicts of interest., (Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.)

Published
2022
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43. Mueller-matrix-based polarization imaging and quantitative assessment of optically anisotropic polycrystalline networks.

Author

Borovkova M, Trifonyuk L, Ushenko V, Dubolazov O, Vanchulyak O, Bodnar G, Ushenko Y, Olar O, Ushenko O, Sakhnovskiy M, Bykov A, and Meglinski I

Subjects
Algorithms, Birefringence, Microscopy, Polarization methods, Myosins metabolism, Anisotropy, Myocardium metabolism
Abstract

We introduce a Mueller-matrix imaging polarization-based approach for the quantitative digital screening of the polycrystalline structure of fibrillary-based biological tissues in vitro. The morphometric evaluation of histological sections of myocardium was performed utilizing the high-order statistical moments calculated based on the spatial distribution of linear and circular birefringence and dichroism obtained experimentally. We demonstrate that spatial distributions of phase of light and optical anisotropy of scattering inherent to fibrillar networks of myocardium at different necrotic stages can be effectively used as a quantitative marker of stages of myosin fibril degradation. Processing the images of phase of light scattered in biological tissues with high order statistical analysis provides a functional tool for the quantitative characterization of necrotic conditions of the myocardium., Competing Interests: The authors have declared that no competing interests exist.

Published
2019
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