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Open source bioimage informatics for cell biology
Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools...
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Formato: | Texto |
Lenguaje: | English |
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Elsevier Science Publishers
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2789254/ https://www.ncbi.nlm.nih.gov/pubmed/19833518 http://dx.doi.org/10.1016/j.tcb.2009.08.007 |
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author | Swedlow, Jason R. Eliceiri, Kevin W. |
author_facet | Swedlow, Jason R. Eliceiri, Kevin W. |
author_sort | Swedlow, Jason R. |
collection | PubMed |
description | Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools for the acquisition, visualization, analysis and dissemination of these datasets. These tools collectively make up a new subfield of computational biology called bioimage informatics, which is facilitated by open source approaches. We discuss why open source tools for image informatics in cell biology are needed, some of the key general attributes of what make an open source imaging application successful, and point to opportunities for further operability that should greatly accelerate future cell biology discovery. |
format | Text |
id | pubmed-2789254 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Elsevier Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-27892542009-12-22 Open source bioimage informatics for cell biology Swedlow, Jason R. Eliceiri, Kevin W. Trends Cell Biol Opinion Significant technical advances in imaging, molecular biology and genomics have fueled a revolution in cell biology, in that the molecular and structural processes of the cell are now visualized and measured routinely. Driving much of this recent development has been the advent of computational tools for the acquisition, visualization, analysis and dissemination of these datasets. These tools collectively make up a new subfield of computational biology called bioimage informatics, which is facilitated by open source approaches. We discuss why open source tools for image informatics in cell biology are needed, some of the key general attributes of what make an open source imaging application successful, and point to opportunities for further operability that should greatly accelerate future cell biology discovery. Elsevier Science Publishers 2009-11 /pmc/articles/PMC2789254/ /pubmed/19833518 http://dx.doi.org/10.1016/j.tcb.2009.08.007 Text en © 2009 Elsevier Ltd. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Opinion Swedlow, Jason R. Eliceiri, Kevin W. Open source bioimage informatics for cell biology |
title | Open source bioimage informatics for cell biology |
title_full | Open source bioimage informatics for cell biology |
title_fullStr | Open source bioimage informatics for cell biology |
title_full_unstemmed | Open source bioimage informatics for cell biology |
title_short | Open source bioimage informatics for cell biology |
title_sort | open source bioimage informatics for cell biology |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2789254/ https://www.ncbi.nlm.nih.gov/pubmed/19833518 http://dx.doi.org/10.1016/j.tcb.2009.08.007 |
work_keys_str_mv | AT swedlowjasonr opensourcebioimageinformaticsforcellbiology AT eliceirikevinw opensourcebioimageinformaticsforcellbiology |