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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-5113068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chalfounjoe lineagemapperaversatilecellandparticletracker AT majurskimichael lineagemapperaversatilecellandparticletracker AT dimaalden lineagemapperaversatilecellandparticletracker AT haltermichael lineagemapperaversatilecellandparticletracker AT bhadrirajukiran lineagemapperaversatilecellandparticletracker AT bradymary lineagemapperaversatilecellandparticletracker |