Description and classification of bivalve mollusks hemocytes: a computational approach
| Autor: | Eduardas Cicinskas, Alina E. Safonova, A. A. Kalitnik, Yuriy A. Karetin |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Convex hull
Hemocytes Bioinformatics lcsh:Medicine Marine Biology Cell morphology 01 natural sciences Fractal dimension General Biochemistry Genetics and Molecular Biology Quantitative Biology::Cell Behavior 03 medical and health sciences Fractal 0103 physical sciences Euclidean geometry Fractal analysis 010306 general physics Cluster analysis 030304 developmental biology Mathematics 0303 health sciences Spisula sachalinensis business.industry General Neuroscience Morphometry Bivalve lcsh:R Computational Biology Pattern recognition Cell Biology General Medicine Artificial intelligence General Agricultural and Biological Sciences business |
| Zdroj: | PeerJ, Vol 7, p e7056 (2019) PeerJ |
| ISSN: | 2167-8359 |
| Popis: | The fractal formalism in combination with linear image analysis enables statistically significant description and classification of “irregular” (in terms of Euclidean geometry) shapes, such as, outlines ofin vitroflattened cells. We developed an optimal model for classifying bivalveSpisula sachalinensisandCallista brevisiphonataimmune cells, based on evaluating their linear and non-linear morphological features: size characteristics (area, perimeter), various parameters of cell bounding circle, convex hull, cell symmetry, roundness, and a number of fractal dimensions and lacunarities evaluating the spatial complexity of cells. Proposed classification model is based on Ward’s clustering method, loaded with highest multimodality index factors. This classification scheme groups cells into three morphological types, which can be distinguished both visually and by several linear and quasi-fractal parameters. |
| Databáze: | OpenAIRE |
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