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T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery
BACKGROUND: A fundamental understanding of live-cell dynamics is necessary in order to advance scientific techniques and personalized medicine. For this understanding to be possible, image processing techniques, probes, tracking algorithms and many other methodologies must be improved. Currently the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557281/ https://www.ncbi.nlm.nih.gov/pubmed/28807036 http://dx.doi.org/10.1186/s13104-017-2739-x |
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author | Arbuckle, Cody Greenberg, Milton Bergh, Adrienne German, Rene Sirago, Nick Linstead, Erik |
author_facet | Arbuckle, Cody Greenberg, Milton Bergh, Adrienne German, Rene Sirago, Nick Linstead, Erik |
author_sort | Arbuckle, Cody |
collection | PubMed |
description | BACKGROUND: A fundamental understanding of live-cell dynamics is necessary in order to advance scientific techniques and personalized medicine. For this understanding to be possible, image processing techniques, probes, tracking algorithms and many other methodologies must be improved. Currently there are no large open-source datasets containing live-cell imaging to act as a standard for the community. As a result, researchers cannot evaluate their methodologies on an independent benchmark or leverage such a dataset to formulate scientific questions. FINDINGS: Here we present T-Time, the largest free and publicly available data set of T cell phase contrast imagery designed with the intention of furthering live-cell dynamics research. T-Time consists of over 40 GB of imagery data, and includes annotations derived from these images using a custom T cell identification and tracking algorithm. The data set contains 71 time-lapse sequences containing T cell movement and calcium release activated calcium channel activation, along with 50 time-lapse sequences of T cell activation and T reg interactions. The database includes a user-friendly web interface, summary information on the time-lapse images, and a mechanism for users to download tailored image datasets for their own research. T-Time is freely available on the web at http://ttime.mlatlab.org. CONCLUSIONS: T-Time is a novel data set of T cell images and associated metadata. It allows users to study T cell interaction and activation. |
format | Online Article Text |
id | pubmed-5557281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55572812017-08-16 T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery Arbuckle, Cody Greenberg, Milton Bergh, Adrienne German, Rene Sirago, Nick Linstead, Erik BMC Res Notes Data Note BACKGROUND: A fundamental understanding of live-cell dynamics is necessary in order to advance scientific techniques and personalized medicine. For this understanding to be possible, image processing techniques, probes, tracking algorithms and many other methodologies must be improved. Currently there are no large open-source datasets containing live-cell imaging to act as a standard for the community. As a result, researchers cannot evaluate their methodologies on an independent benchmark or leverage such a dataset to formulate scientific questions. FINDINGS: Here we present T-Time, the largest free and publicly available data set of T cell phase contrast imagery designed with the intention of furthering live-cell dynamics research. T-Time consists of over 40 GB of imagery data, and includes annotations derived from these images using a custom T cell identification and tracking algorithm. The data set contains 71 time-lapse sequences containing T cell movement and calcium release activated calcium channel activation, along with 50 time-lapse sequences of T cell activation and T reg interactions. The database includes a user-friendly web interface, summary information on the time-lapse images, and a mechanism for users to download tailored image datasets for their own research. T-Time is freely available on the web at http://ttime.mlatlab.org. CONCLUSIONS: T-Time is a novel data set of T cell images and associated metadata. It allows users to study T cell interaction and activation. BioMed Central 2017-08-15 /pmc/articles/PMC5557281/ /pubmed/28807036 http://dx.doi.org/10.1186/s13104-017-2739-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Data Note Arbuckle, Cody Greenberg, Milton Bergh, Adrienne German, Rene Sirago, Nick Linstead, Erik T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title | T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title_full | T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title_fullStr | T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title_full_unstemmed | T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title_short | T-Time: A data repository of T cell and calcium release-activated calcium channel activation imagery |
title_sort | t-time: a data repository of t cell and calcium release-activated calcium channel activation imagery |
topic | Data Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5557281/ https://www.ncbi.nlm.nih.gov/pubmed/28807036 http://dx.doi.org/10.1186/s13104-017-2739-x |
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