Abstract

Electron tomography is a powerful tool for deriving three-dimensional (3D) structural information about biological systems within the spatial scale spanning 1 nm/sup 3/ and 10 mm/sup 3/. With this technique, it is possible to derive detailed models of sub-cellular components such as organelles and synaptic complexes and to resolve the 3D distribution of their protein constituents in situ. Due in part to exponentially growing raw data-sizes, there continues to be a need for the increased integration of high-performance computing (HPC) and grid technologies with traditional electron tomography processes to provide faster data processing throughput. This is increasingly relevant because emerging mathematical algorithms that provide better data fidelity are more computationally intensive for larger raw data sizes. Progress has been made towards the transparent use of HPC and grid tools for launching scientific …

Date

2006

Authors

Adam Lathers, M-H Su, Alex Kulungowski, Abel W Lin, Gaurang Mehta, Steven T Peltier, Ewa Deelman, Mark H Ellisman

Conference

2006 IEEE Challenges of Large Applications in Distributed Environments

Pages

55-60

Publisher

IEEE