Turning Images to Knowledge: Large-Scale 3D Image Annotation, Management, and Visualization
May 9 - 12, 2010

This conference will focus not on pure image analysis, but will instead stress the importance of extracting useful and biologically relevant descriptions and knowledge from image contents in a systematic, comprehensive and high-throughput way. It will discuss the state-of-the-art in the related fields, and promote the development of critical tools that will accelerate the discovery of useful knowledge from image contents. Among others, participants will discuss topics relevant to how biologists are currently annotating 3D images on different scales, and how these methods can be improved, as well as how to manage complex annotations with regard to ontology and database limitations.

Registration for this conference closed November 10, 2009.

• ORGANIZERS:

  Michael Hawrylyz, The Allen Institute for Brain Science
  
  B. S. Manjunath, University of California, Santa Barbara
  
  Maryann Martone, University of California, San Diego
  
  Fuhui Long, Janelia Farm Research Campus/HHMI
  
  Gene Myers, Janelia Farm Research Campus/HHMI
  
  Hanchuan Peng, Janelia Farm Research Campus/HHMI
  
  

• INVITED PARTICIPANTS:

  Scott Acton University of Virginia Douglas Armstrong University of Edinburgh Giorgio Ascoli George Mason University Mark Biggin Lawrence Berkeley National Laboratory Scott Fraser Biological Imaging William Gelbart Harvard University Luis Ibanez Kitware, Inc. David Kleinfeld University of California, San Diego Jeff Lichtman Harvard University Michael Liebling University of California, Santa Barbara

  Partha Mitra Cold Spring Harbor Laboratory Lydia Ng Allen Institute for Brain Science Jean-Christophe Olivo-Marin Institut Pasteur Anne Plant National Institute of Standards and Technology David Osumi-Sutherland University of Cambridge Amit Roy-Chowdhury University of California, Riverside Ivo Sbalzarini Swiss Federal Institute of Technology (ETH), Zurich Ernst Stelzer EMBL Heidelberg Robert Waterston University of Washington

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