Ushenko, V.A., Hogan, B.T., Dubolazov, A. et al. Embossed topographic depolarisation maps of biological tissues with different morphological structures. Sci Rep 11, 3871 (2021). https://doi.org/10.1038/s41598-021-83017-2
Embossed topographic depolarisation maps of biological tissues with different morphological structures
|Author:||Ushenko, Volodimir A.1; Hogan, Benjamin T.2; Dubolazov, Alexander1;|
1Chernivtsi National University, 2 Kotsiubynskyi Str., Chernivtsi 58012, Ukraine
2OPEM, ITEE, University of Oulu, 90014 Oulu, Finland
3Institute of Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University, Moscow 129090, Russia
4Bukovinian State Medical University, 3 Theatral Sq., Chernivtsi 58000, Ukraine
5College of Engineering and Physical Science, Aston University, Birmingham B4 7ET, UK.
|Online Access:||PDF Full Text (PDF, 2.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021050729182
|Publish Date:|| 2021-05-07
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.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work received funding from: National Research Foundation of Ukraine, Grant 0061; the ATTRACT project funded by the EC under Grant Agreement 777222; Academy of Finland (Grants 314639 and 325097); and INFOTECH strategic funding. I.M. also acknowledges partial support from MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005), and the National Research Tomsk State University Academic D.I. Mendeleev Fund Program.
|Academy of Finland Grant Number:||
314639 (Academy of Finland Funding decision)
325097 (Academy of Finland Funding decision)
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