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Proceedings Paper

Aggregation kinetics of erythrocytes in whole blood: comparison of data processing algorithms
Author(s): Alexander V. Priezzhev; Nikolai N. Firsov; Olga M. Ryaboshapka; Marina G. Vyshlova
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Paper Abstract

Samples of erythrocyte suspensions of normal and pathological blood were studied by light back-scattering technique. This method allows to register the kinetics of the formation of erythrocyte aggregates in stasis and the disruption of large and small aggregates in shear flow of aggregated blood in a Couette chamber. The output signal proportional to backscattered light intensity was processed by different algorithms to quantitatively determine the aggregational properties of erythrocytes. We suggest that the registered time dependence of the signal representing the aggregation kinetics can be approximated as a sum of exponentials with parameters T1 and T2 that reflect the characteristic times of linear and clump or network aggregates formation respectively. On the other hand the hyperbolic approximation of the aggregation kinetics enables to determine the characteristic constant of the whole aggregation process. We show that the parameters obtained with both exponential and hyperbolic data processing algorithms are sensitive to the concentration of erythrocytes in blood sample, mode of scattered light detection and other factors. The advantages of each algorithm and latest results of their comparative analysis will be discussed in this paper.

Paper Details

Date Published: 2 May 1997
PDF: 6 pages
Proc. SPIE 2982, Optical Diagnostics of Biological Fluids and Advanced Techniques in Analytical Cytology, (2 May 1997); doi: 10.1117/12.273616
Show Author Affiliations
Alexander V. Priezzhev, Moscow State Univ. (Russia)
Nikolai N. Firsov, Russian State Medical Univ. (Russia)
Olga M. Ryaboshapka, Moscow State Univ. (Russia)
Marina G. Vyshlova, Russian State Medical Univ. (Russia)


Published in SPIE Proceedings Vol. 2982:
Optical Diagnostics of Biological Fluids and Advanced Techniques in Analytical Cytology
Robert C. Leif; Alexander V. Priezzhev; Toshimitsu Asakura; Robert C. Leif, Editor(s)

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