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Kvantovaya Elektronika, 2018, Volume 48, Number 1, Pages 70–74 (Mi qe16758)  

This article is cited in 5 scientific papers (total in 5 papers)

Laser biophotonics

Characteristic point algorithm in laser ektacytometry of red blood cells

S. Yu. Nikitinab, V. D. Ustinovab

a Faculty of Physics, Lomonosov Moscow State University
b Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics
Full-text PDF (582 kB) Citations (5)
References:
Abstract: We consider the problem of measuring red blood cell deformability by laser diffractometry in shear flow (ektacytometry). A new equation is derived that relates the parameters of the diffraction pattern to the width of the erythrocyte deformability distribution. The numerical simulation method shows that this equation provides a higher accuracy of measurements in comparison with the analogous equation obtained by us earlier.
Keywords: red blood cell deformability, diffractometry, laser ektacytometry, data processing algorithms.
Funding agency Grant number
Russian Foundation for Basic Research 17-02-00249
17-29-03507
Received: 04.10.2017
Revised: 23.10.2017
English version:
Quantum Electronics, 2018, Volume 48, Issue 1, Pages 70–74
DOI: https://doi.org/10.1070/QEL16527
Bibliographic databases:
Document Type: Article
Language: Russian


Citation: S. Yu. Nikitin, V. D. Ustinov, “Characteristic point algorithm in laser ektacytometry of red blood cells”, Kvantovaya Elektronika, 48:1 (2018), 70–74 [Quantum Electron., 48:1 (2018), 70–74]
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  • https://www.mathnet.ru/eng/qe16758
  • https://www.mathnet.ru/eng/qe/v48/i1/p70
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Квантовая электроника Quantum Electronics
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    Abstract page:281
    Full-text PDF :51
    References:25
    First page:15
     
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