A computational framework for the 3D structure determination of viruses with unknown symmetry
Journal of Parallel and Distributed Computing - High-performance computational biology
A fast hermite transform with applications to protein structure determination
Proceedings of the 2007 international workshop on Symbolic-numeric computation
Theoretical Computer Science
Noise limits on reconstructing diffraction signals from random tomographs
IEEE Transactions on Information Theory
3-D reconstructions of nanometer-scale helical objects from cryo electron microscopy images
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Sinogram denoising of cryo-electron microscopy images
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
Hi-index | 754.90 |
A statistical model for the object and the complete image formation process in the cryo electron microscopy of viruses is presented. Using this model, maximum-likelihood reconstructions of the three-dimensional (3-D) structure of viruses are computed using the expectation maximization algorithm, and alternative experimental designs are evaluated based on Cramer-Rao bounds. Numerical examples of the reconstructions and experimental design evaluations are provided based on Cowpea mosaic virus