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FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis
Beyond the more conventional single-cell segmentation and tracking, single-cell cycle dynamics is gaining a growing interest in the field of cell biology. Thanks to sophisticated systems, such as the fluorescent ubiquitination-based cell cycle indicator (FUCCI), it is now possible to study cell prol...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258891/ https://www.ncbi.nlm.nih.gov/pubmed/35793313 http://dx.doi.org/10.1371/journal.pone.0268297 |
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author | Taïeb, Hubert M. Bertinetti, Luca Robinson, Tom Cipitria, Amaia |
author_facet | Taïeb, Hubert M. Bertinetti, Luca Robinson, Tom Cipitria, Amaia |
author_sort | Taïeb, Hubert M. |
collection | PubMed |
description | Beyond the more conventional single-cell segmentation and tracking, single-cell cycle dynamics is gaining a growing interest in the field of cell biology. Thanks to sophisticated systems, such as the fluorescent ubiquitination-based cell cycle indicator (FUCCI), it is now possible to study cell proliferation, migration, changes in nuclear morphology and single cell cycle dynamics, quantitatively and in real time. In this work, we introduce FUCCItrack, an all-in-one, semi-automated software to segment, track and visualize FUCCI modified cell lines. A user-friendly complete graphical user interface is presented to record and quantitatively analyze both collective cell proliferation as well as single cell information, including migration and changes in nuclear or cell morphology as a function of cell cycle. To enable full control over the analysis, FUCCItrack also contains features for identification of errors and manual corrections. |
format | Online Article Text |
id | pubmed-9258891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-92588912022-07-07 FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis Taïeb, Hubert M. Bertinetti, Luca Robinson, Tom Cipitria, Amaia PLoS One Research Article Beyond the more conventional single-cell segmentation and tracking, single-cell cycle dynamics is gaining a growing interest in the field of cell biology. Thanks to sophisticated systems, such as the fluorescent ubiquitination-based cell cycle indicator (FUCCI), it is now possible to study cell proliferation, migration, changes in nuclear morphology and single cell cycle dynamics, quantitatively and in real time. In this work, we introduce FUCCItrack, an all-in-one, semi-automated software to segment, track and visualize FUCCI modified cell lines. A user-friendly complete graphical user interface is presented to record and quantitatively analyze both collective cell proliferation as well as single cell information, including migration and changes in nuclear or cell morphology as a function of cell cycle. To enable full control over the analysis, FUCCItrack also contains features for identification of errors and manual corrections. Public Library of Science 2022-07-06 /pmc/articles/PMC9258891/ /pubmed/35793313 http://dx.doi.org/10.1371/journal.pone.0268297 Text en © 2022 Taïeb et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Taïeb, Hubert M. Bertinetti, Luca Robinson, Tom Cipitria, Amaia FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title | FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title_full | FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title_fullStr | FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title_full_unstemmed | FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title_short | FUCCItrack: An all-in-one software for single cell tracking and cell cycle analysis |
title_sort | fuccitrack: an all-in-one software for single cell tracking and cell cycle analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258891/ https://www.ncbi.nlm.nih.gov/pubmed/35793313 http://dx.doi.org/10.1371/journal.pone.0268297 |
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