Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Blood platelet quantification by light scattering: from morphology to activation. / Litvinenko, Alena L.; Nekrasov, Vyacheslav M.; Strokotov, Dmitry I. и др.
в: Analytical Methods, Том 13, № 29, 07.08.2021, стр. 3233-3241.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Blood platelet quantification by light scattering: from morphology to activation
AU - Litvinenko, Alena L.
AU - Nekrasov, Vyacheslav M.
AU - Strokotov, Dmitry I.
AU - Moskalensky, Alexander E.
AU - Chernyshev, Andrey V.
AU - Shilova, Anna N.
AU - Karpenko, Andrey A.
AU - Maltsev, Valeri P.
N1 - Publisher Copyright: © The Royal Society of Chemistry.
PY - 2021/8/7
Y1 - 2021/8/7
N2 - Analysis of blood platelets encounters a number of different preanalytical issues, which greatly decrease the reliability and accuracy of routine clinical analysis. Modern hematology analyzers determine only four parameters relating to platelets. Platelet shape and dose-dependent activation parameters are outside the scope of commercial instruments. We used the original scanning flow cytometer for measurement of angle-resolved light scattering and the discrete dipole approximation for simulation of light scattering from a platelet optical model, as an oblate spheroid, and global optimization with two algorithms: the DATABASE algorithm to retrieve platelet characteristics from light scattering and the DIRECT algorithm to retrieve dose-dependent activation parameters. We developed the original sampling protocol to decrease spontaneous platelet activation. The new protocol allows us to keep most of the platelets in resting and partially activated states before analysis. The analysis delivers 13 content and morphological parameters of the platelets. To analyze platelet shape change during ADP activation we developed a phenomenological model. This model was applied to the analysis of ADP activation of platelets to give 8 dose-dependent activation parameters. To demonstrate the applicability of the developed protocol and analytical method, we analyzed platelets from five donors. This novel approach to the analysis of platelets allows the determination of 21 parameters relating to their content, morphology and dose-dependent activation.
AB - Analysis of blood platelets encounters a number of different preanalytical issues, which greatly decrease the reliability and accuracy of routine clinical analysis. Modern hematology analyzers determine only four parameters relating to platelets. Platelet shape and dose-dependent activation parameters are outside the scope of commercial instruments. We used the original scanning flow cytometer for measurement of angle-resolved light scattering and the discrete dipole approximation for simulation of light scattering from a platelet optical model, as an oblate spheroid, and global optimization with two algorithms: the DATABASE algorithm to retrieve platelet characteristics from light scattering and the DIRECT algorithm to retrieve dose-dependent activation parameters. We developed the original sampling protocol to decrease spontaneous platelet activation. The new protocol allows us to keep most of the platelets in resting and partially activated states before analysis. The analysis delivers 13 content and morphological parameters of the platelets. To analyze platelet shape change during ADP activation we developed a phenomenological model. This model was applied to the analysis of ADP activation of platelets to give 8 dose-dependent activation parameters. To demonstrate the applicability of the developed protocol and analytical method, we analyzed platelets from five donors. This novel approach to the analysis of platelets allows the determination of 21 parameters relating to their content, morphology and dose-dependent activation.
KW - Blood Platelets
KW - Computer Simulation
KW - Flow Cytometry
KW - Humans
KW - Platelet Activation
KW - Reproducibility of Results
UR - http://www.scopus.com/inward/record.url?scp=85112002686&partnerID=8YFLogxK
U2 - 10.1039/d1ay00431j
DO - 10.1039/d1ay00431j
M3 - Article
C2 - 34184022
AN - SCOPUS:85112002686
VL - 13
SP - 3233
EP - 3241
JO - Analytical Methods
JF - Analytical Methods
SN - 1759-9660
IS - 29
ER -
ID: 29281658