Past Study: Automated detection of Protein Crystal Images

Funded by National Institutes of Health (NESG)

Period: 2000-2009

Short Info: High-throughput experiments with varying crystallization conditions are currently performed with the hopes that one or more conditions will provide leads for actual protein crystallization. The High-throughput experiments generate millions of images that then have to be analyzed. We propose an automated classification algorithm that can replace the need for crystallographers to manually classify these images.