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Proceedings Paper

Image informatics in systems biology applications
Author(s): Stephen T. C. Wong
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Paper Abstract

Digital optical microscopy, coupled with parallel processing and a large arsenal of labeling techniques, offers tremendous values to localize, identify, and characterize cells and molecules. This generates many image informatics challenges in requiring new algorithms and tools to extract, classify, correlate, and model image features and content from massive amounts of cellular and molecular images acquired. Image informatics aims to fill this gap. Coupling automated microscopy and image analysis with biostatistical and data mining techniques to provide a system biologic approach in studying the cells, the basic unit of life, potentially leads to many exciting applications in life and health sciences. In this presentation, we describe certain new system biology applications enabled by image informatics technology.

Paper Details

Date Published: 8 February 2005
PDF: 8 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.584572
Show Author Affiliations
Stephen T. C. Wong, Harvard Medical School (United States)
Brigham and Women's Hospital (United States)


Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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