Bioimage informatics: a new area of engineering biology

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, searc...

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Bibliographic Details
Published in:Bioinformatics Vol. 24; no. 17; pp. 1827 - 1836
Main Author: Peng, Hanchuan
Format: Journal Article
Language:English
Published: Oxford Oxford University Press 01.09.2008
Oxford Publishing Limited (England)
Subjects:
Bioinformatics
Biological and medical sciences
Biomedical Engineering - methods
Biomedical Engineering - trends
Computational Biology - methods
Computational Biology - trends
Computer Graphics
Computer Simulation
Data management
Data mining
Diagnostic Imaging - methods
Fundamental and applied biological sciences. Psychology
General aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Models, Biological
Review Paper
User-Computer Interface
Bioinformatics
Biology
ISSN:1367-4803, 1367-4811, 1460-2059, 1367-4811
Online Access:Get full text
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Summary: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.
Bibliography:ark:/67375/HXZ-TR13QRXR-8
Associate Editor: Jonathan Wren
ArticleID:btn346
istex:9295113E8CD41BB2B46489419F6991FC74898653
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
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ObjectType-Review-3
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ISSN:1367-4803
1367-4811
1460-2059
1367-4811
DOI:10.1093/bioinformatics/btn346