Search Results - "Litvinenko, Alena L."

Method for the simulation of blood platelet shape and its evolution during activation by Moskalensky, Alexander E, Yurkin, Maxim A, Muliukov, Artem R, Litvinenko, Alena L, Nekrasov, Vyacheslav M, Chernyshev, Andrei V, Maltsev, Valeri P

“…We present a simple physically based quantitative model of blood platelet shape and its evolution during agonist-induced activation. The model is based on the…”
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The platelet shape change: biophysical basis and physiological consequences by Moskalensky, Alexander E., Litvinenko, Alena L.

“…The well-known platelet shape change is the universal hallmark of activation. This review uncovers the biophysics underlying this rapid and dramatic…”
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Spectral approach to recognize spherical particles among non-spherical ones by angle-resolved light scattering by Yastrebova, Ekaterina S., Dolgikh, Ivan, Gilev, Konstantin V., Vakhrusheva, Irina V., Liz, Elizaveta, Litvinenko, Alena L., Nekrasov, Vyacheslav M., Strokotov, Dmitry I., Karpenko, Andrei A., Maltsev, Valeri P.

“…•Polarizer-free and single-PMT setup to recognize single spheres from light scattering.•Optical vector-invariant constructed from angular-spectrum of light…”
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Application of RBF Neural Networks for Solving the Inverse Light Scattering Problem of Platelets by Aleksandrov, Evgeniy A., Gilev, Konstantin V., Litvinenko, Alena L., Nekrasov, Vyacheslav M., Strokotov, Dmitry I., Maltsev, Valeri P.

“…In this paper, the possibility of using Radial Basis Function (RBF) neural networks to solve the inverse problem of light scattering for platelets is…”
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Determining blood platelet morphology modelled by a superellipsoid from the solution of the inverse light-scattering problem by Litvinenko, Alena L., Nekrasov, Vyacheslav M., Gilev, Konstantin V., Alexandrov, Evgeniy A., Strokotov, Dmitry I., Maltsev, Valeri P., Karpenko, Andrey A., Yastrebova, Ekaterina S.

“…•The superellipsoid model is statistically superior to the oblate spheroid model for 60% of platelets.•Precision of recognized platelet fractions is increased…”
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