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Bioinformatics Advance Access first published online on July 4, 2008
This version published online on July 26, 2008
Bioinformatics, doi:10.1093/bioinformatics/btn346
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© 2008 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Bioimage Informatics: A New Area of Engineering Biology

Hanchuan Peng

Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.

To whom correspondence should be addressed. Dr. Hanchuan Peng, E-mail: pengh{at}janelia.hhmi.org


  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.

Associate Editor: Dr. Jonathan Wren

Received on June 6, 2008; revised on July 1, 2008; accepted on July 2, 2008

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H. Peng, F. Long, and E. W. Myers
VANO: a volume-object image annotation system
Bioinformatics, March 1, 2009; 25(5): 695 - 697.
[Abstract] [Full Text] [PDF]


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