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Abstract
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.
Original language | English |
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Pages (from-to) | 656-660 |
Number of pages | 5 |
Journal | Trends in Cell Biology |
Volume | 19 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2009 |
Keywords
- OPEN MICROSCOPY ENVIRONMENT
- GREEN FLUORESCENT PROTEIN
- IMAGE DATA
- QUANTITATIVE-ANALYSIS
- OPEN TOOLS
- SEGMENTATION
- DATABASE
- QUANTIFICATION
- VISUALIZATION
- MEMBRANE
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- 1 Finished
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Aref#d: 21060. The Open Microscopy Environment: Towards the Development of a Scientific Data Management System
Swedlow, J. (Investigator)
1/10/08 → 31/03/13
Project: Research