Aggregation kinetics of erythrocytes in whole blood: comparison of data processing algorithms

Alexander V. Priezzhev; Nikolai N. Firsov; Olga M. Ryaboshapka; Marina G. Vyshlova

doi:10.1117/12.273616

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2 May 1997 Aggregation kinetics of erythrocytes in whole blood: comparison of data processing algorithms

Alexander V. Priezzhev, Nikolai N. Firsov, Olga M. Ryaboshapka, Marina G. Vyshlova

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Proceedings Volume 2982, Optical Diagnostics of Biological Fluids and Advanced Techniques in Analytical Cytology; (1997) https://doi.org/10.1117/12.273616
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

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.

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Alexander V. Priezzhev, Nikolai N. Firsov, Olga M. Ryaboshapka, and Marina G. Vyshlova "Aggregation kinetics of erythrocytes in whole blood: comparison of data processing algorithms", Proc. SPIE 2982, Optical Diagnostics of Biological Fluids and Advanced Techniques in Analytical Cytology, (2 May 1997); https://doi.org/10.1117/12.273616

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