11 March 2005 Maximum likelihood 3D reconstruction of multiple viruses from mixtures of cryo electron microscope images
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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.
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Junghoon Lee, Yili Zheng, Peter C. Doerschuk, Jinghua Tang, 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); doi: 10.1117/12.598307; https://doi.org/10.1117/12.598307
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