Description and classification of bivalve mollusks hemocytes: a computational approach
- Published
- Accepted
- Subject Areas
- Bioinformatics, Cell Biology, Computational Biology, Marine Biology
- Keywords
- hemocytes, morphometry, bivalve, fractal analysis, cell morphology
- Copyright
- © 2018 Karetin et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Description and classification of bivalve mollusks hemocytes: a computational approach. PeerJ Preprints 6:e27258v1 https://doi.org/10.7287/peerj.preprints.27258v1
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.
Author Comment
This is a submission to PeerJ for review.
Supplemental Information
Lists of parameters, their explanation and computation
Full lists of parameters used in this study, their explanation and computation