Open Access
3 January 2013 Accurate measurement of volume and shape of resting and activated blood platelets from light scattering
Alexander E. Moskalensky, Maxim A. Yurkin, Anastasiya I. Konokhova, Dmitry I. Strokotov, Vyacheslav M. Nekrasov, Andrei V. Chernyshev, Galina A. Tsvetovskaya, Elena D. Chikova, Valeri P. Maltsev
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Abstract
We introduce a novel approach for determination of volume and shape of individual blood platelets modeled as an oblate spheroid from angle-resolved light scattering with flow-cytometric technique. The light-scattering profiles (LSPs) of individual platelets were measured with the scanning flow cytometer and the platelet characteristics were determined from the solution of the inverse light-scattering problem using the precomputed database of theoretical LSPs. We revealed a phenomenon of parameter compensation, which is partly explained in the framework of anomalous diffraction approximation. To overcome this problem, additional a priori information on the platelet refractive index was used. It allowed us to determine the size of each platelet with subdiffraction precision and independent of the particular value of the platelet aspect ratio. The shape (spheroidal aspect ratio) distributions of platelets showed substantial differences between native and activated by 10 μM adenosine diphosphate samples. We expect that the new approach may find use in hematological analyzers for accurate measurement of platelet volume distribution and for determination of the platelet activation efficiency.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Alexander E. Moskalensky, Maxim A. Yurkin, Anastasiya I. Konokhova, Dmitry I. Strokotov, Vyacheslav M. Nekrasov, Andrei V. Chernyshev, Galina A. Tsvetovskaya, Elena D. Chikova, and Valeri P. Maltsev "Accurate measurement of volume and shape of resting and activated blood platelets from light scattering," Journal of Biomedical Optics 18(1), 017001 (3 January 2013). https://doi.org/10.1117/1.JBO.18.1.017001
Published: 3 January 2013
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Cited by 46 scholarly publications.
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KEYWORDS
Databases

Blood

Refractive index

Particles

Light scattering

Optical spheres

Data modeling

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