Dr. Chandrajit BajajProfessor, Director of Center for Computational Visualization
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Image Processing and Visualization of Biological Complexes
Abstract
The computational modeling, analysis and visualization of large macro-molecular biological complexes, such as viruses, ion channels, the ribosome, are progressively providing a better understanding of the structure/function relationships of the nano-machinery of life. Many of these complexes are critical to the normal physiological process of the cell while others can be causative agents of disease. A varied assortment of imaging modalities including x-ray crystallography, NMR spectroscopy, electron cryomicroscopy (cryoEM), and in-vivo molecular tomographic imaging have additionally become indispensable at revealing the structures of these large macro-molecular complexes at sub-nanometer resolutions. In this talk, I shall describe the challenges and the progress made in the image processing, and visualization of biological complexes. More information at:
http://www.ices.utexas.edu/CCV/projects/AngstromBio of the Speaker
Chandrajit Bajaj is currently a Professor at the Department of Computer Science at the University of Texas at Austin where he holds the CAM Visualization Chair and is the Director of the Computational Visualization Center. His research interests are geometric modeling, image processing, data visualization and computational mathematics. His research utilizes the design and analysis of geometric data structures; synthesis and compression algorithms that support multi-resolution finite element approximations of volumetric imaging, geometries and computed function fields; integrated design and analysis for domain modeling, physical simulations, coupled with interrogative visualization and exploration of dynamic phenomena.
Dr. Bajaj graduated from Cornell University in 1984 and was a Professor at Purdue University before moving to his current position. He is on the editorial board of the ACM Transactions on Graphics and the International Journal of Computational Geometry and Applications, has published extensively and has co-authored two books.