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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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Detalles Bibliográficos
Autores principales: Swedlow, Jason R., Eliceiri, Kevin W.
Formato: Texto
Lenguaje:English
Publicado: Elsevier Science Publishers 2009
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.
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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
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