A Comparative Morphological Classification of Marine Invertebrate Immune Cells
The combination of a fractal formalism with linear methods of image analysis is the basis of a statistically reliable description of the morphology and classification of forms that are irregular from the point of view of Euclidean geometry, such as in vitro flattened amoeboid cells. We have develope...
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Published in | Russian journal of marine biology Vol. 46; no. 1; pp. 1 - 11 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Moscow
Pleiades Publishing
2020
Springer Nature B.V |
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Abstract | The combination of a fractal formalism with linear methods of image analysis is the basis of a statistically reliable description of the morphology and classification of forms that are irregular from the point of view of Euclidean geometry, such as in vitro flattened amoeboid cells. We have developed a classification algorithm that is based on the morphological characteristics of immune cells of four species of marine invertebrates: the bivalves
Spisula sachalinensis
(Schrenck, 1862) and
Callista brevisiphonata
(Carpenter, 1864) and the echinoderms
Aphelasterias japonica
(Bell, 1881) and
Asterias amurensis
(Lütken, 1871). The morphological signs of the cells included dimensional characteristics (area and perimeter), features of the circle and the convex hull that circumscribes the cell, characteristics of the symmetry and roundness of the cell, as well as fractal dimension and lacunarity, which were determined in several ways while assessing the spatial complexity of cells. It was shown that the optimal classification structure of immune cells of all studied species is based on a similar universal algorithm, including hierarchical classification by the Ward method, using variables with the highest multimodality index that load different factors in the factor analysis. |
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AbstractList | The combination of a fractal formalism with linear methods of image analysis is the basis of a statistically reliable description of the morphology and classification of forms that are irregular from the point of view of Euclidean geometry, such as in vitro flattened amoeboid cells. We have developed a classification algorithm that is based on the morphological characteristics of immune cells of four species of marine invertebrates: the bivalves
Spisula sachalinensis
(Schrenck, 1862) and
Callista brevisiphonata
(Carpenter, 1864) and the echinoderms
Aphelasterias japonica
(Bell, 1881) and
Asterias amurensis
(Lütken, 1871). The morphological signs of the cells included dimensional characteristics (area and perimeter), features of the circle and the convex hull that circumscribes the cell, characteristics of the symmetry and roundness of the cell, as well as fractal dimension and lacunarity, which were determined in several ways while assessing the spatial complexity of cells. It was shown that the optimal classification structure of immune cells of all studied species is based on a similar universal algorithm, including hierarchical classification by the Ward method, using variables with the highest multimodality index that load different factors in the factor analysis. The combination of a fractal formalism with linear methods of image analysis is the basis of a statistically reliable description of the morphology and classification of forms that are irregular from the point of view of Euclidean geometry, such as in vitro flattened amoeboid cells. We have developed a classification algorithm that is based on the morphological characteristics of immune cells of four species of marine invertebrates: the bivalves Spisula sachalinensis (Schrenck, 1862) and Callista brevisiphonata (Carpenter, 1864) and the echinoderms Aphelasterias japonica (Bell, 1881) and Asterias amurensis (Lütken, 1871). The morphological signs of the cells included dimensional characteristics (area and perimeter), features of the circle and the convex hull that circumscribes the cell, characteristics of the symmetry and roundness of the cell, as well as fractal dimension and lacunarity, which were determined in several ways while assessing the spatial complexity of cells. It was shown that the optimal classification structure of immune cells of all studied species is based on a similar universal algorithm, including hierarchical classification by the Ward method, using variables with the highest multimodality index that load different factors in the factor analysis. |
Author | Pimenova, E. A. Karetin, Yu. A. Kalitnik, A. A. |
Author_xml | – sequence: 1 givenname: Yu. A. surname: Karetin fullname: Karetin, Yu. A. email: yura15cbx@gmail.com organization: Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences – sequence: 2 givenname: E. A. surname: Pimenova fullname: Pimenova, E. A. organization: Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences – sequence: 3 givenname: A. A. surname: Kalitnik fullname: Kalitnik, A. A. organization: Zhirmunsky National Scientific Center of Marine Biology, Far Eastern Branch, Russian Academy of Sciences |
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Cites_doi | 10.1073/pnas.0903269107 10.1134/S1063074016040052 10.1002/cne.22127 10.1016/j.aquaculture.2009.09.003 10.1093/cercor/bhj041 10.1242/jcs.02898 10.1016/j.micron.2016.03.003 10.1002/cyto.a.22676 10.1002/adma.200901808 10.1037/a0024338 10.1002/9780470382776 10.1016/S0304-3800(00)00303-3 10.1002/cne.23489 10.1007/s00709-017-1078-z 10.1016/S1385-299X(96)00014-1 10.1007/s004410050898 10.1105/tpc.010346 10.1016/j.fsi.2014.11.034 10.1073/pnas.87.9.3579 10.1201/9781584888536 |
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SubjectTerms | Algorithms Biomedical and Life Sciences Cells Classification Factor analysis Fractals Freshwater & Marine Ecology Image processing Indicator species Invertebrates Life Sciences Marine invertebrates Mollusks Morphology Original Papers Physical characteristics Shellfish |
Title | A Comparative Morphological Classification of Marine Invertebrate Immune Cells |
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