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NucliTrack: an integrated nuclei tracking application
SUMMARY: Live imaging studies give unparalleled insight into dynamic single cell behaviours and fate decisions. However, the challenge of reliably tracking single cells over long periods of time limits both the throughput and ease with which such studies can be performed. Here, we present NucliTrack...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860035/ https://www.ncbi.nlm.nih.gov/pubmed/28637183 http://dx.doi.org/10.1093/bioinformatics/btx404 |
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author | Cooper, Sam Barr, Alexis R Glen, Robert Bakal, Chris |
author_facet | Cooper, Sam Barr, Alexis R Glen, Robert Bakal, Chris |
author_sort | Cooper, Sam |
collection | PubMed |
description | SUMMARY: Live imaging studies give unparalleled insight into dynamic single cell behaviours and fate decisions. However, the challenge of reliably tracking single cells over long periods of time limits both the throughput and ease with which such studies can be performed. Here, we present NucliTrack, a cross platform solution for automatically segmenting, tracking and extracting features from fluorescently labelled nuclei. NucliTrack performs similarly to other state-of-the-art cell tracking algorithms, but NucliTrack’s interactive, graphical interface makes it significantly more user friendly. AVAILABILITY AND IMPLEMENTATION: NucliTrack is available as a free, cross platform application and open source Python package. Installation details and documentation are at: http://nuclitrack.readthedocs.io/en/latest/ A video guide can be viewed online: https://www.youtube.com/watch?v=J6e0D9F-qSU Source code is available through Github: https://github.com/samocooper/nuclitrack. A Matlab toolbox is also available at: https://uk.mathworks.com/matlabcentral/fileexchange/61479-samocooper-nuclitrack-matlab. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5860035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58600352018-03-23 NucliTrack: an integrated nuclei tracking application Cooper, Sam Barr, Alexis R Glen, Robert Bakal, Chris Bioinformatics Applications Notes SUMMARY: Live imaging studies give unparalleled insight into dynamic single cell behaviours and fate decisions. However, the challenge of reliably tracking single cells over long periods of time limits both the throughput and ease with which such studies can be performed. Here, we present NucliTrack, a cross platform solution for automatically segmenting, tracking and extracting features from fluorescently labelled nuclei. NucliTrack performs similarly to other state-of-the-art cell tracking algorithms, but NucliTrack’s interactive, graphical interface makes it significantly more user friendly. AVAILABILITY AND IMPLEMENTATION: NucliTrack is available as a free, cross platform application and open source Python package. Installation details and documentation are at: http://nuclitrack.readthedocs.io/en/latest/ A video guide can be viewed online: https://www.youtube.com/watch?v=J6e0D9F-qSU Source code is available through Github: https://github.com/samocooper/nuclitrack. A Matlab toolbox is also available at: https://uk.mathworks.com/matlabcentral/fileexchange/61479-samocooper-nuclitrack-matlab. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-10-15 2017-06-20 /pmc/articles/PMC5860035/ /pubmed/28637183 http://dx.doi.org/10.1093/bioinformatics/btx404 Text en © The Author 2017. Published by Oxford University Press. http://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/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Cooper, Sam Barr, Alexis R Glen, Robert Bakal, Chris NucliTrack: an integrated nuclei tracking application |
title | NucliTrack: an integrated nuclei tracking application |
title_full | NucliTrack: an integrated nuclei tracking application |
title_fullStr | NucliTrack: an integrated nuclei tracking application |
title_full_unstemmed | NucliTrack: an integrated nuclei tracking application |
title_short | NucliTrack: an integrated nuclei tracking application |
title_sort | nuclitrack: an integrated nuclei tracking application |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860035/ https://www.ncbi.nlm.nih.gov/pubmed/28637183 http://dx.doi.org/10.1093/bioinformatics/btx404 |
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