Image informatics in systems biology applications

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


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.

Original languageEnglish (US)
Article number29
Pages (from-to)138-145
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jun 14 2005
EventElectronic Imaging and Multimedia Technology IV - Beijing, China
Duration: Nov 8 2004Nov 11 2004


  • Drug Discovery
  • High Throughput Cell Imaging
  • Image Informatics
  • Systems Biology

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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