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Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0

Authors :
Tristan Dubos
Axel Poulet
Céline Gonthier-Gueret
Guillaume Mougeot
Emmanuel Vanrobays
Yanru Li
Sylvie Tutois
Emilie Pery
Frédéric Chausse
Aline V. Probst
Christophe Tatout
Sophie Desset
Source :
Nucleus, Vol 11, Iss 1, Pp 315-329 (2020)
Publication Year :
2020
Publisher :
Taylor & Francis Group, 2020.

Abstract

NucleusJ 1.0, an ImageJ plugin, is a useful tool to analyze nuclear morphology and chromatin organization in plant and animal cells. NucleusJ 2.0 is a new release of NucleusJ, in which image processing is achieved more quickly using a command-lineuser interface. Starting with large collection of 3D nuclei, segmentation can be performed by the previously developed Otsu-modified method or by a new 3D gift-wrapping method, taking better account of nuclear indentations and unstained nucleoli. These two complementary methods are compared for their accuracy by using three types of datasets available to the community at https://www.brookes.ac.uk/indepth/images/. Finally, NucleusJ 2.0 was evaluated using original plant genetic material by assessing its efficiency on nuclei stained with DNA dyes or after 3D-DNA Fluorescence in situ hybridization. With these improvements, NucleusJ 2.0 permits the generation of large user-curated datasets that will be useful for software benchmarking or to train convolution neural networks.

Details

Language :
English
ISSN :
19491034 and 19491042
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nucleus
Publication Type :
Academic Journal
Accession number :
edsdoj.2d21f69056bd44569a7c6119496317c2
Document Type :
article
Full Text :
https://doi.org/10.1080/19491034.2020.1845012