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MORPHEUS: An automated tool for unbiased and reproducible cell morphometry.

Authors :
Ruffinatti FA
Genova T
Mussano F
Munaron L
Source :
Journal of cellular physiology [J Cell Physiol] 2020 Dec; Vol. 235 (12), pp. 10110-10115. Date of Electronic Publication: 2020 Jun 21.
Publication Year :
2020

Abstract

Here we present a new Fiji/ImageJ2 plugin called Multiparametric Morphometric Analysis of EUcaryotic cellS (MORPHEUS), designed for the automated evaluation of cell morphometry from images acquired by fluorescence microscopy. MORPHEUS works with sampling distributions to learn-in an unsupervised manner and by a nonparametric approach-how to recognize the cells suitable for subsequent analysis. Afterward, the algorithm performs the evaluation of the most relevant cell-shape descriptors over the full set of detected cells. Optionally, also the extraction of nucleus features and a double-scale analysis of orientation can be performed. The whole algorithm is implemented as a one-click procedure, thus minimizing the user's intervention. By reducing biases and errors of human origin, MORPHEUS is intended to be a useful tool to enhance reproducibility in the bioimage analysis.<br /> (© 2020 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1097-4652
Volume :
235
Issue :
12
Database :
MEDLINE
Journal :
Journal of cellular physiology
Publication Type :
Academic Journal
Accession number :
32567069
Full Text :
https://doi.org/10.1002/jcp.29768