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Lineage mapper: A versatile cell and particle tracker

The ability to accurately track cells and particles from images is critical to many biomedical problems. To address this, we developed Lineage Mapper, an open-source tracker for time-lapse images of biological cells, colonies, and particles. Lineage Mapper tracks objects independently of the segment...

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Detalles Bibliográficos
Autores principales: Chalfoun, Joe, Majurski, Michael, Dima, Alden, Halter, Michael, Bhadriraju, Kiran, Brady, Mary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113068/
https://www.ncbi.nlm.nih.gov/pubmed/27853188
http://dx.doi.org/10.1038/srep36984
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author Chalfoun, Joe
Majurski, Michael
Dima, Alden
Halter, Michael
Bhadriraju, Kiran
Brady, Mary
author_facet Chalfoun, Joe
Majurski, Michael
Dima, Alden
Halter, Michael
Bhadriraju, Kiran
Brady, Mary
author_sort Chalfoun, Joe
collection PubMed
description The ability to accurately track cells and particles from images is critical to many biomedical problems. To address this, we developed Lineage Mapper, an open-source tracker for time-lapse images of biological cells, colonies, and particles. Lineage Mapper tracks objects independently of the segmentation method, detects mitosis in confluence, separates cell clumps mistakenly segmented as a single cell, provides accuracy and scalability even on terabyte-sized datasets, and creates division and/or fusion lineages. Lineage Mapper has been tested and validated on multiple biological and simulated problems. The software is available in ImageJ and Matlab at isg.nist.gov.
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spelling pubmed-51130682016-11-25 Lineage mapper: A versatile cell and particle tracker Chalfoun, Joe Majurski, Michael Dima, Alden Halter, Michael Bhadriraju, Kiran Brady, Mary Sci Rep Article The ability to accurately track cells and particles from images is critical to many biomedical problems. To address this, we developed Lineage Mapper, an open-source tracker for time-lapse images of biological cells, colonies, and particles. Lineage Mapper tracks objects independently of the segmentation method, detects mitosis in confluence, separates cell clumps mistakenly segmented as a single cell, provides accuracy and scalability even on terabyte-sized datasets, and creates division and/or fusion lineages. Lineage Mapper has been tested and validated on multiple biological and simulated problems. The software is available in ImageJ and Matlab at isg.nist.gov. Nature Publishing Group 2016-11-17 /pmc/articles/PMC5113068/ /pubmed/27853188 http://dx.doi.org/10.1038/srep36984 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chalfoun, Joe
Majurski, Michael
Dima, Alden
Halter, Michael
Bhadriraju, Kiran
Brady, Mary
Lineage mapper: A versatile cell and particle tracker
title Lineage mapper: A versatile cell and particle tracker
title_full Lineage mapper: A versatile cell and particle tracker
title_fullStr Lineage mapper: A versatile cell and particle tracker
title_full_unstemmed Lineage mapper: A versatile cell and particle tracker
title_short Lineage mapper: A versatile cell and particle tracker
title_sort lineage mapper: a versatile cell and particle tracker
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5113068/
https://www.ncbi.nlm.nih.gov/pubmed/27853188
http://dx.doi.org/10.1038/srep36984
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