title: Automatically obtaining by methods of flow cytometry and cluster analysis simplified leukocyte formula
metadata.name: dc.contributor.author
metadata.value: Orekhov, Andrey V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Shishkin, Viktor I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kudriavtseva, Galina V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Pavilaynen, Galina V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Shishkin, Viktor V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Lyudkevich, Nikolay S.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2024-02-19T13:30:36Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2024-02-19T13:30:36Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-12
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Orekhov A. V., Shishkin V. I., Kudriavtseva G. V., Pavilaynen G. V., Shishkin V. V., Lyudkevich N. S. Automatically obtaining by methods of flow cytometry and cluster analysis simplified leukocyte formula. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2023, vol. 19, iss. 4, pp. 469–483. https://doi.org/10.21638/11701/spbu10.2023.404 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2023.404
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44905
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The leukocyte formula is the percentage of different groups of white blood cells. According
  to morphological features, three subpopulations can be distinguished among leukocytes:
  lymphocytes, monocytes and granulocytes. Granulocytes are divided into neutrophilic,
  eosinophilic, and basophilic cells. Automatic typologization of white blood cells is an unsolved
  problem, since at present, during cytometric research, the counting of the number of cells
  in various subpopulations of leukocytes is actually done manually, which in turn causes the
  subjectivity of the experiment and large values of errors in calculations. To solve this problem,
  attempts have been made repeatedly to use cluster analysis methods. In computational
  experiments, it was shown that the use of standard algorithms, such as the agglomerative
  methods, EM algorithm, DBSCAN, etc., does not allow to obtain the desired results. In
  recent years, a large number of research papers have been published describing specialized
  clustering algorithms for detecting and determining populations of white blood cells, some
  of them have found practical application, but the problems associated with the presence of a
  large amount of noise and different data density distribution during leukocyte clustering by
  flow cytometry methods remain relevant. The article considers an approach to constructing
  a strategy for automatic allocation of the main leukocyte subpopulations using a modified
  agglomerative centroid clustering method and discusses the results of computational experiments.
  The results of calculating the proportion of lymphocytes are compared “manually”
  and automatically using a modified centroid algorithm.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 19; Issue 4
metadata.lang: -
metadata.name: dc.subject
metadata.value: leukocyte formula
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: flow cytometry
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: cluster analysis
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Markov moment
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: least squares method
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Automatically obtaining by methods of flow cytometry and cluster analysis simplified leukocyte formula
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 04.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44905/1/04.pdf
resources.format: Adobe PDF
resources.size: 428,16 kB