KnE Energy

ISSN: 2413-5453

The latest conference proceedings on energy science, applications and resources

Computer Microscopy of Biological Fluid Dry Patterns for Medical Diagnostics

Published date: Apr 17 2018

Journal Title: KnE Energy

Issue title: The 2nd International Symposium "Physics, Engineering and Technologies for Biomedicine"

Pages: 528–534

DOI: 10.18502/ken.v3i2.1861

Authors:
Abstract:

We elaborate hardware and software system that implements the principle of diagnosis based on the standard procedure of pattern preparation including digital recognition of image and its computer analysis based on specially developed algorithms by comparing with the expert descriptors and extensive database of dry pattern samples obtained from clinical treatments which include more than 1500 samples to high selective and accuracy recognition of pathologies, for recognition of wide range of pathologies, in particular, the endogenous intoxication.

Keywords: biological fluids, image analysis, medical diagnostics, endogenous intoxication.

References:

[1] V.N. Shabalin, S.N. Shatokhina, Morphology of Body Liquids, Khrizostom, Moscow, 304 p., (2001) (in Russian).


[2] M.E. Buzoverya, Yu.P. Shcherbak, I.V. Shishpor, Yu.P. Potekhina, Microstructural analysis of biological fluids, Technical Physics, vol. 57, No. 7, pp. 1019-1024, (2012).


[3] M.E. Buzoverya, Yu.P. Potekhina, E.A. Kizova, T.G. Shcherbatyuk, Yu.P. Shcherbak. Patent No 2395087 С2 RU MPC G 01 N 33/487 (2006.01). The method for diagnostics endogenous intoxication. Reported on 23.06.2008. Published on 20.07.2010. Bulletin No 20 (in Russian).


[4] P. Lebedev-Stepanov, K. Vlasov, Simulation of self-assembly in an evaporating droplet of colloidal solution by dissipative particle dynamics, Colloids and Surfaces A: Physicochem. Eng. Aspects, vol. 432, pp. 132-138, (2013).

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