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Sharing and reusing cell image data

The rapid growth in content and complexity of cell image data creates an opportunity for synergy between experimental and computational scientists. Sharing microscopy data enables computational scientists to develop algorithms and tools for data analysis, integration, and mining. These tools can be...

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Detalles Bibliográficos
Autor principal: Zaritsky, Assaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Cell Biology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994892/
https://www.ncbi.nlm.nih.gov/pubmed/29851565
http://dx.doi.org/10.1091/mbc.E17-10-0606
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author Zaritsky, Assaf
author_facet Zaritsky, Assaf
author_sort Zaritsky, Assaf
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description The rapid growth in content and complexity of cell image data creates an opportunity for synergy between experimental and computational scientists. Sharing microscopy data enables computational scientists to develop algorithms and tools for data analysis, integration, and mining. These tools can be applied by experimentalists to promote hypothesis-generation and discovery. We are now at the dawn of this revolution: infrastructure is being developed for data standardization, deposition, sharing, and analysis; some journals and funding agencies mandate data deposition; data journals publish high-content microscopy data sets; quantification becomes standard in scientific publications; new analytic tools are being developed and dispatched to the community; and huge data sets are being generated by individual labs and philanthropic initiatives. In this Perspective, I reflect on sharing and reusing cell image data and the opportunities that will come along with it.
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spelling pubmed-59948922018-08-16 Sharing and reusing cell image data Zaritsky, Assaf Mol Biol Cell MBoC Technical Perspective The rapid growth in content and complexity of cell image data creates an opportunity for synergy between experimental and computational scientists. Sharing microscopy data enables computational scientists to develop algorithms and tools for data analysis, integration, and mining. These tools can be applied by experimentalists to promote hypothesis-generation and discovery. We are now at the dawn of this revolution: infrastructure is being developed for data standardization, deposition, sharing, and analysis; some journals and funding agencies mandate data deposition; data journals publish high-content microscopy data sets; quantification becomes standard in scientific publications; new analytic tools are being developed and dispatched to the community; and huge data sets are being generated by individual labs and philanthropic initiatives. In this Perspective, I reflect on sharing and reusing cell image data and the opportunities that will come along with it. The American Society for Cell Biology 2018-06-01 /pmc/articles/PMC5994892/ /pubmed/29851565 http://dx.doi.org/10.1091/mbc.E17-10-0606 Text en © 2018 Zaritsky. “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology. http://creativecommons.org/licenses/by-nc-sa/3.0/ This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License.
spellingShingle MBoC Technical Perspective
Zaritsky, Assaf
Sharing and reusing cell image data
title Sharing and reusing cell image data
title_full Sharing and reusing cell image data
title_fullStr Sharing and reusing cell image data
title_full_unstemmed Sharing and reusing cell image data
title_short Sharing and reusing cell image data
title_sort sharing and reusing cell image data
topic MBoC Technical Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994892/
https://www.ncbi.nlm.nih.gov/pubmed/29851565
http://dx.doi.org/10.1091/mbc.E17-10-0606
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