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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Vydáno v:	Bioinformatics Ročník 24; číslo 17; s. 1827 - 1836
Hlavní autor:	Peng, Hanchuan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Oxford University Press 01.09.2008 Oxford Publishing Limited (England)
Témata:	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
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Popis
Shrnutí:	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.
Bibliografie:	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 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	1367-4803 1367-4811 1460-2059 1367-4811
DOI:	10.1093/bioinformatics/btn346