Journal Articles Nucleus Year : 2020

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

Céline Gonthier-Gueret
Emilie Pery
Frédéric Chausse
Aline V Probst

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 Otsumodified 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 usercurated datasets that will be useful for software benchmarking or to train convolution neural networks.
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Dates and versions

hal-03441015 , version 1 (22-11-2021)

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Tristan Dubos, Axel Poulet, Céline Gonthier-Gueret, Guillaume Mougeot, Emmanuel Vanrobays, et al.. Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0. Nucleus, 2020, 11 (1), pp.315 - 329. ⟨10.1080/19491034.2020.1845012⟩. ⟨hal-03441015⟩
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