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

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...

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Autores principales: Dubos, Tristan, Poulet, Axel, Gonthier-Gueret, Céline, Mougeot, Guillaume, Vanrobays, Emmanuel, Li, Yanru, Tutois, Sylvie, Pery, Emilie, Chausse, Frédéric, Probst, Aline V., Tatout, Christophe, Desset, Sophie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714466/
https://www.ncbi.nlm.nih.gov/pubmed/33153359
http://dx.doi.org/10.1080/19491034.2020.1845012
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author Dubos, Tristan
Poulet, Axel
Gonthier-Gueret, Céline
Mougeot, Guillaume
Vanrobays, Emmanuel
Li, Yanru
Tutois, Sylvie
Pery, Emilie
Chausse, Frédéric
Probst, Aline V.
Tatout, Christophe
Desset, Sophie
author_facet Dubos, Tristan
Poulet, Axel
Gonthier-Gueret, Céline
Mougeot, Guillaume
Vanrobays, Emmanuel
Li, Yanru
Tutois, Sylvie
Pery, Emilie
Chausse, Frédéric
Probst, Aline V.
Tatout, Christophe
Desset, Sophie
author_sort Dubos, Tristan
collection PubMed
description 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.
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spelling pubmed-77144662020-12-08 Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0 Dubos, Tristan Poulet, Axel Gonthier-Gueret, Céline Mougeot, Guillaume Vanrobays, Emmanuel Li, Yanru Tutois, Sylvie Pery, Emilie Chausse, Frédéric Probst, Aline V. Tatout, Christophe Desset, Sophie Nucleus Research Paper 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. Taylor & Francis 2020-11-29 /pmc/articles/PMC7714466/ /pubmed/33153359 http://dx.doi.org/10.1080/19491034.2020.1845012 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Dubos, Tristan
Poulet, Axel
Gonthier-Gueret, Céline
Mougeot, Guillaume
Vanrobays, Emmanuel
Li, Yanru
Tutois, Sylvie
Pery, Emilie
Chausse, Frédéric
Probst, Aline V.
Tatout, Christophe
Desset, Sophie
Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title_full Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title_fullStr Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title_full_unstemmed Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title_short Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0
title_sort automated 3d bio-imaging analysis of nuclear organization by nucleusj 2.0
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7714466/
https://www.ncbi.nlm.nih.gov/pubmed/33153359
http://dx.doi.org/10.1080/19491034.2020.1845012
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