High-Throughput Image Reconstruction and Analysis

Today's bioimaging technologies generate mountains of biological data that can simply overwhelm conventional analysis methods. This groundbreaking book helps researchers blast through the computational bottleneck with high-performance computing (HPC) techniques that are blazing the way to never-before bioimaging, image analysis, and data mining capabilities and revolutionizing the study of cellular and organ-level systems. This innovative volume surveys the latest advances in scanning electron microscopy, knife-edge scanning microscopy, and 4D imaging of multi-component biological systems. The book includes detailed case studies that show how key techniques have been successfully deployed in medical image analysis, drug discovery, tissue analysis, functional MRI data analysis, and other areas.

A. Ravishankar Rao is a research staff member with the Biometaphorical Computing Group at the IBM T.J. Watson Research Center, Yorktown Heights, New York. He is also an associate editor of the journals Pattern Recognition and Machine Vision and Applications. Dr. Rao received his B.Tech degree in electrical engineering from the Indian Institute of Technology (Kanpur), and his M.S. and Ph.D. degrees in computer engineering from the University of Michigan, Ann Arbor. He was named a Master Inventor at IBM Research in 2004.

Guillermo A. Cecchi is a research staff member with the Biometaphorical Computing Group at the IBM T.J. Watson Research Center, Yorktown Heights, New York. Dr. Cecchi received his M.Sc. in physics at the University of La Plata, Argentina and his Ph.D. in physics and biology at The Rockefeller University. He also served as a postdoctoral fellow at Cornell University.