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• W2154917588 abstract "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." @default.
• W2154917588 created "2016-06-24" @default.
• W2154917588 creator A5036224886 @default.
• W2154917588 date "2008-07-04" @default.
• W2154917588 modified "2023-10-15" @default.
• W2154917588 title "Bioimage informatics: a new area of engineering biology" @default.
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• W2154917588 doi "https://doi.org/10.1093/bioinformatics/btn346" @default.
• W2154917588 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2519164" @default.
• W2154917588 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18603566" @default.

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