Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography and NMR spectroscopy as a high-resolution structural method for biological macromolecules (Nobel Prize in Chemistry 2017). The speaker will give an overview of the computational challenges in cryo-EM analysis and how he and others are trying to face them, focusing on 3D ab-initio modeling and the heterogeneity problem of determining structural variability.

This presentation is part of Minisymposium “MS51 - Algorithms for Single Particle Reconstruction in Cryo-Electron Microscopy (cryo-EM). (3 parts)”
organized by: Roy Lederman (Yale University) , Joakim Andén (Flatiron Institute) .

Authors:

Amit Singer (Princeton University)

Keywords:

bayesian methods, computed tomography, image reconstruction, image registration, inverse problems