Multiparameter correlation microscopy of biological fluids polycrystalline networks

Dubolazov, A.V.; Marchuk, Yu.F.; Olar, O.I.; Bachinskiy, V.T.; Vanchuliak, O.Ya.; Pashkovska, N.V.; Andriychuk, D.R.; Kostiuk, S.V.

dc.contributor.author	Dubolazov, A.V.	en
dc.contributor.author	Marchuk, Yu.F.	en
dc.contributor.author	Olar, O.I.	en
dc.contributor.author	Bachinskiy, V.T.	en
dc.contributor.author	Vanchuliak, O.Ya.	en
dc.contributor.author	Pashkovska, N.V.	en
dc.contributor.author	Andriychuk, D.R.	en
dc.contributor.author	Kostiuk, S.V.	en
dc.date.accessioned	2016-05-26T09:31:37Z
dc.date.available	2016-05-26T09:31:37Z
dc.date.issued	2013
dc.identifier.uri	http://dspace.bsmu.edu.ua:8080/xmlui/handle/123456789/10873
dc.description.abstract	In this part the description of the basic types of human biological fluids is given. Experimentally measured coordinate divisions of Jones-matrix elements of optically thin polycrystalline networks are cited. Algorithms are provided and experimental methodology of measuring Jones-matrix imaging is analyzed. Experimental results of investigation of statistic, correlational and fractal parameters characterizing Jonesmatrix imaging of polycrystalline networks of the basic types of human biological fluids are represented. The system of classification of optical anisotropic peculiarities of biological fluids’ membranes based on statistic, correlational, space-frequency and spectral approach is suggested.	ru_RU
dc.language.iso	en	ru_RU
dc.publisher	Proc. of SPIE. – 2013. – Vol.9066. – 1Y-1–1Y-9.	ru_RU
dc.subject	correlation microscopy	ru_RU
dc.subject	biologilc fluids	ru_RU
dc.subject	polarimetry	ru_RU
dc.title	Multiparameter correlation microscopy of biological fluids polycrystalline networks	ru_RU
dc.type	Article	ru_RU