Embossed topographic depolarisation maps of biological tissues with different morphological structures

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 live...

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Autores principales:	Volodimir A. Ushenko, Benjamin T. Hogan, Alexander Dubolazov, Anastasiia V. Grechina, Tatiana V. Boronikhina, Mikhailo Gorsky, Alexander G. Ushenko, Yurii O. Ushenko, Alexander Bykov, Igor Meglinski
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b5423a20dd594e858fbf73e4c712fd34
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spelling	oai:doaj.org-article:b5423a20dd594e858fbf73e4c712fd342021-12-02T14:21:51ZEmbossed topographic depolarisation maps of biological tissues with different morphological structures10.1038/s41598-021-83017-22045-2322https://doaj.org/article/b5423a20dd594e858fbf73e4c712fd342021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83017-2https://doaj.org/toc/2045-2322Abstract 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.Volodimir A. UshenkoBenjamin T. HoganAlexander DubolazovAnastasiia V. GrechinaTatiana V. BoronikhinaMikhailo GorskyAlexander G. UshenkoYurii O. UshenkoAlexander BykovIgor MeglinskiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Volodimir A. Ushenko Benjamin T. Hogan Alexander Dubolazov Anastasiia V. Grechina Tatiana V. Boronikhina Mikhailo Gorsky Alexander G. Ushenko Yurii O. Ushenko Alexander Bykov Igor Meglinski Embossed topographic depolarisation maps of biological tissues with different morphological structures
description	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.
format	article
author	Volodimir A. Ushenko Benjamin T. Hogan Alexander Dubolazov Anastasiia V. Grechina Tatiana V. Boronikhina Mikhailo Gorsky Alexander G. Ushenko Yurii O. Ushenko Alexander Bykov Igor Meglinski
author_facet	Volodimir A. Ushenko Benjamin T. Hogan Alexander Dubolazov Anastasiia V. Grechina Tatiana V. Boronikhina Mikhailo Gorsky Alexander G. Ushenko Yurii O. Ushenko Alexander Bykov Igor Meglinski
author_sort	Volodimir A. Ushenko
title	Embossed topographic depolarisation maps of biological tissues with different morphological structures
title_short	Embossed topographic depolarisation maps of biological tissues with different morphological structures
title_full	Embossed topographic depolarisation maps of biological tissues with different morphological structures
title_fullStr	Embossed topographic depolarisation maps of biological tissues with different morphological structures
title_full_unstemmed	Embossed topographic depolarisation maps of biological tissues with different morphological structures
title_sort	embossed topographic depolarisation maps of biological tissues with different morphological structures
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b5423a20dd594e858fbf73e4c712fd34
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Embossed topographic depolarisation maps of biological tissues with different morphological structures

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