Bioimage informatics: a new area of engineering biology.
Bioimage informatics: a new area of engineering biology.
复制标题
生物图像信息学:工程生物学的新领域。
DOI:
10.1093/bioinformatics/btn346
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发表时间:
2008-09-01
期刊:
影响因子:
5.8
通讯作者:
Peng, Hanchuan
中科院分区:
文献类型:
--
作者:
Peng, Hanchuan
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.
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DOI:
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发表时间:
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通讯作者:
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