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Bioimage informatics: a new area of engineering biology
- Source :
- Bioinformatics
- Publication Year :
- 2008
- Publisher :
- Oxford University Press, 2008.
-
Abstract
- In recent years, the deluge of complicated molecular and cellular microscopic images creates compelling challenges for the image computing community. There has been an increasing focus on developing novel image processing, data mining, database and visualization techniques to extract, compare, search and manage the biological knowledge in these data-intensive problems. This emerging new area of bioinformatics can be called ‘bioimage informatics’. This article reviews the advances of this field from several aspects, including applications, key techniques, available tools and resources. Application examples such as high-throughput/high-content phenotyping and atlas building for model organisms demonstrate the importance of bioimage informatics. The essential techniques to the success of these applications, such as bioimage feature identification, segmentation and tracking, registration, annotation, mining, image data management and visualization, are further summarized, along with a brief overview of the available bioimage databases, analysis tools and other resources. Contact: pengh@janelia.hhmi.org Supplementary information: Supplementary data are available at Bioinformatics online.
- Subjects :
- Statistics and Probability
Diagnostic Imaging
Computer science
media_common.quotation_subject
Data management
Biomedical Engineering
Bioimage informatics
Biochemistry
Models, Biological
Field (computer science)
User-Computer Interface
Computer Graphics
Computer Simulation
Molecular Biology
media_common
Creative visualization
Review Paper
business.industry
Computational Biology
Data science
Computer Science Applications
Visualization
Computational Mathematics
Identification (information)
Computational Theory and Mathematics
Feature (computer vision)
Data and Text Mining
business
Subjects
Details
- Language :
- English
- ISSN :
- 14602059 and 13674803
- Volume :
- 24
- Issue :
- 17
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....b0b3cef8761872b5daf5c34326b408e5