Innovations in Biological Imaging and Visualization

Post Date

February 12th 2010

Application Due Date

July 15th 2010

April 12, 2010 Deadline to submit applications to participate in the Ideas Lab, to be held May 24-28, 2010 July 15, 2010 Deadline for submission of Invited Proposals. Only invited submissions will be considered for funding.

Funding Opportunity Number

10-538

CFDA Number(s)

47.074

Funding Instrument Type(s)

Grant

Funding Activity Categories

Science and Technology and other Research and Development

Number of Awards

10

Eligibility Categories

Unrestricted

Funding

• Estimated Total Funding:

  $5000000

• Award Range:

  $None - $None

Grant Description

The IBIV activity supports the development of novel approaches to the analysis of biological research images through the innovative "Ideas Lab" project development and review process. The analysis and visual representation of complex biological images present daunting challenges across all scales of investigation, from multispectral analysis of foliage or algal bloom patterns in satellite images, to automated specimen classification, and tomographic reconstructions in structural biology. Analysis of biological image data is complicated by a host of factors, including: complicated signal to noise profiles; variable feature size, density, scale, and perspective in images; experiment-specific metadata considerations; and reliance on subjective classification criteria. Advances in biological image analyses have the potential to facilitate the automation of analytic processes, improve synthetic approaches to the analysis of large or heterogeneous data collections, and permit higher-order dimensional analyses of complex research models. The goal of this activity is to identify opportunities for investment to advance the state-of-the-art in biological image analysis, data visualization, archiving, and dissemination. Participants selected through an open application process will engage in an intensive five-day residential workshop to generate project ideas through an innovative, real-time review process. Members of the biological research community, computational theorists and engineers, mathematicians, imaging specialists from other fields, educators involved in training the next generation of researchers, and a range of other specialists (artists, illustrators, etc.) are all strongly encouraged to participate.

Contact Information

• Agency

  National Science Foundation

• Office:

  None

• Agency Contact:

  NSF grants.gov support
  grantsgovsupport@nsf.gov
  

• Agency Mailing Address:

  If you have any problems linking to this funding announcement, please contact

• Agency Email Address:

  grantsgovsupport@nsf.gov

• More Information:

  NSF Publication 10-538