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Innovations in Biological Imaging and Visualization  (IBIV)

CONTACTS

Name Email Phone Room
Reed  Beaman BIO-IBIV@nsf.gov 703 292-8470   
Timothy  Collins BIO-IBIV@nsf.gov 703 292-4763   
Steven  Ellis BIO-IBIV@nsf.gov 703 292-7191   
Richard  Rodewald BIO-IBIV@nsf.gov 703 292-7131   
Kamal  Shukla BIO-IBIV@nsf.gov 703 292-7131   

PROGRAM GUIDELINES

Solicitation  10-538

Please be advised that the NSF Proposal & Award Policies & Procedures Guide (PAPPG) includes revised guidelines to implement the mentoring provisions of the America COMPETES Act (ACA) (Pub. L. No. 110-69, Aug. 9, 2007.) As specified in the ACA, each proposal that requests funding to support postdoctoral researchers must include a description of the mentoring activities that will be provided for such individuals. Proposals that do not comply with this requirement will be returned without review (see the PAPP Guide Part I: Grant Proposal Guide Chapter II for further information about the implementation of this new requirement).

SYNOPSIS

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.

THIS PROGRAM IS PART OF

Additional Funding Opportunities for the DEB Community

Additional Funding Opportunities for the MCB Community


What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)



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Last Updated:
May 20, 2010
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Last Updated: May 20, 2010