Azimuthally Invariant Mueller-Matrix Tomography of Linear Dichroism of Polycrystalline Networks of Biological Tissues

dc.contributor.author	Pavlyukovich, A.
dc.contributor.author	Pavlyukovich, N.
dc.contributor.author	Sarkisova, Y.
dc.contributor.author	Dubolazov, A.
dc.contributor.author	Ushenko, O.
dc.contributor.author	Ushenko, V.
dc.contributor.author	Kovalchuk, M.
dc.contributor.author	Solovey, Yu.
dc.contributor.author	Solovey, M.
dc.contributor.author	Railianu, S.
dc.contributor.author	Polovyi, V.
dc.date.accessioned	2024-09-30T11:44:47Z
dc.date.available	2024-09-30T11:44:47Z
dc.date.issued	2020
dc.identifier.other	DOI: 10.1117/12.2571213
dc.identifier.uri	http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/25592
dc.description.abstract	Abstract. 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.iso	en	uk_UA
dc.publisher	Proc. SPIE 11718, Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies X, 117181J (31 December 2020)	uk_UA
dc.subject	Mueller matrix tomography	uk_UA
dc.subject	linear dichroism	uk_UA
dc.subject	biological tissue	uk_UA
dc.subject	diagnostic	uk_UA
dc.title	Azimuthally Invariant Mueller-Matrix Tomography of Linear Dichroism of Polycrystalline Networks of Biological Tissues	uk_UA
dc.type	Article	uk_UA