Description and classification of bivalve mollusks hemocytes: a computational approach
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Abstract
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 of in vitro flattened cells. We developed an optimal model for classifying bivalve Spisula sachalinensis and Callista brevisiphonata immune cells, based on evaluating their linear and non-linear morphological features: dimensional 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.
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2018. Description and classification of bivalve mollusks hemocytes: a computational approach. PeerJ Preprints 6:e27258v1 https://doi.org/10.7287/peerj.preprints.27258v1note This preprint is not peer-reviewed. You may wish to reference the subsequent peer-reviewed version of this article.
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Lists of parameters, their explanation and computation
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Competing Interests
The authors declare that they have no competing interests.
Author Contributions
Yuri A Karetin conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Aleksandra A Kalitnik performed the experiments, contributed reagents/materials/analysis tools, authored or reviewed drafts of the paper.
Alina E Safonova performed the experiments.
Eduardas Cicinskas performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.
Data Deposition
The following information was supplied regarding data availability:
https://drive.google.com/drive/folders/1LBoaYgpGZL2OsBMkof4s1S3oBcO63s6O
Funding
This work was supported by Russian Foundation for Basic Research (RFBR) (No. 18-04-00430А). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.