Accelerating Maximum-Likelihood Estimation for Reconstruction from Cryo-EM Images

Frederick Sigworth
Yale University
Cellular and Molecular Physiology

Fred J. Sigworth, Hemant Tagare, Andrew Barthel Yale University Departments of Cellular and Molecular Physiology, Diagnostic Imaging and Biomedical Engineering

Carazo, Scheres and co-workers have demonstrated very substantial advantages to using likelihood maximization as an approach to 3D
reconstruction from noisy cryo-EM images of heterogeneous samples.
The Expectation-Maximization algorithm is however computationally costly, requiring an exhaustive integration over many hidden variables. We present a dual-resolution integration procedure that allows high-precision integration with reductions by more than an order of magnitude in the number of function evaluations.

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