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Developing open-source software for bioimage analysis: opportunities and challenges.
Levet, Florian; Carpenter, Anne E; Eliceiri, Kevin W; Kreshuk, Anna; Bankhead, Peter; Haase, Robert.
Affiliation
  • Levet F; Univ. Bordeaux, CNRS, Interdisciplinary Institute for Neuroscience, IINS, UMR 5297, Bordeaux, 33000, France.
  • Carpenter AE; Univ. Bordeaux, CNRS, INSERM, Bordeaux Imaging Center, BIC, UMS 3420, US 4, Bordeaux, 33000, France.
  • Eliceiri KW; Imaging Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Kreshuk A; Medical Physics and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA.
  • Bankhead P; European Molecular Biology Laboratory, Heidelberg, Germany.
  • Haase R; Pathology, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.
F1000Res ; 10: 302, 2021.
Article in En | MEDLINE | ID: mdl-34249339
Fast-paced innovations in imaging have resulted in single systems producing exponential amounts of data to be analyzed. Computational methods developed in computer science labs have proven to be crucial for analyzing these data in an unbiased and efficient manner, reaching a prominent role in most microscopy studies. Still, their use usually requires expertise in bioimage analysis, and their accessibility for life scientists has therefore become a bottleneck. Open-source software for bioimage analysis has developed to disseminate these computational methods to a wider audience, and to life scientists in particular. In recent years, the influence of many open-source tools has grown tremendously, helping tens of thousands of life scientists in the process. As creators of successful open-source bioimage analysis software, we here discuss the motivations that can initiate development of a new tool, the common challenges faced, and the characteristics required for achieving success.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Software Language: En Journal: F1000Res Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Image Processing, Computer-Assisted / Software Language: En Journal: F1000Res Year: 2021 Document type: Article Affiliation country: Country of publication: