Maximum likelihood 3D reconstruction of multiple viruses from mixtures of cryo electron microscope images

Junghoon Lee; Yili Zheng; Peter C. Doerschuk; Jinghua Tang; John E. Johnson

doi:10.1117/12.598307

11 March 2005 Maximum likelihood 3D reconstruction of multiple viruses from mixtures of cryo electron microscope images

Junghoon Lee, Yili Zheng, Peter C. Doerschuk, Jinghua Tang, John E. Johnson

Proceedings Volume 5674, Computational Imaging III; (2005) https://doi.org/10.1117/12.598307
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

A statistical model for cryo electron microscopy image formation, a maximum likelihood 3-D reconstruction algorithm, and a parallel computer implementation of the algorithm are described. The essential character of this reconstruction problem is that it concerns 2-D projections of a 3-D object where the projection orientations are unknown and the 2-D projections have SNR less than 1. A key component of a variety of algorithms is integration over projection orientation. A fast algorithm is described for performing such integrations.

Citation Download Citation

Junghoon Lee, Yili Zheng, Peter C. Doerschuk, Jinghua Tang, and John E. Johnson "Maximum likelihood 3D reconstruction of multiple viruses from mixtures of cryo electron microscope images", Proc. SPIE 5674, Computational Imaging III, (11 March 2005); https://doi.org/10.1117/12.598307

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