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dc.contributor.authorPavlyukovich, A.-
dc.contributor.authorPavlyukovich, N.-
dc.contributor.authorSarkisova, Y.-
dc.contributor.authorDubolazov, A.-
dc.contributor.authorUshenko, O.-
dc.contributor.authorUshenko, V.-
dc.contributor.authorKovalchuk, M.-
dc.contributor.authorSolovey, Yu.-
dc.contributor.authorSolovey, M.-
dc.contributor.authorRailianu, S.-
dc.contributor.authorPolovyi, V.-
dc.date.accessioned2024-09-30T11:44:47Z-
dc.date.available2024-09-30T11:44:47Z-
dc.date.issued2020-
dc.identifier.otherDOI: 10.1117/12.2571213-
dc.identifier.urihttp://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/25592-
dc.description.abstractAbstract. The results of applying algorithms for reconstructing parameters characterizing the linear dichroism of networks of biological crystals in differentiating changes in optical anisotropy associated with varying degrees of severity of pathology – pre-cancerous (atrophy and endometrial polyp) states of the cervix are presented.uk_UA
dc.language.isoenuk_UA
dc.publisherProc. SPIE 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X, 117181J (31 December 2020)uk_UA
dc.subjectMueller matrix tomographyuk_UA
dc.subjectlinear dichroismuk_UA
dc.subjectbiological tissueuk_UA
dc.subjectdiagnosticuk_UA
dc.titleAzimuthally Invariant Mueller-Matrix Tomography of Linear Dichroism of Polycrystalline Networks of Biological Tissuesuk_UA
dc.typeArticleuk_UA
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