Year: 2009
Type: review
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.
Source: Trends in Cell Biology
Authors: Jason R. Swedlow, Kevin W. Eliceiri
Institutions: University of Dundee, University of Wisconsin–Madison
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $7,030
Awards: The Open Microscopy Environment: towards the development of a scientific data management system., G3882813265, The Electron Microscopy Data Bank, G4951421451, OME-XML: Development of a Data Standard for Biological Light Microscopy, Multi-dimensional Image Analysis Tools for Brain Tissue, G7964129600, Open image informatics software for biological microscopy, G928095571
OpenAlex ID: W2129289695