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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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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. |
format | Online Article Text |
id | pubmed-7714466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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