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CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. (arXiv:2203.08138v4 [cs.CV] UPDATED)
Sept. 1, 2022, 1:11 a.m. | Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein
cs.LG updates on arXiv.org arxiv.org
Cryo-electron microscopy (cryo-EM) has become a tool of fundamental
importance in structural biology, helping us understand the basic building
blocks of life. The algorithmic challenge of cryo-EM is to jointly estimate the
unknown 3D poses and the 3D electron scattering potential of a biomolecule from
millions of extremely noisy 2D images. Existing reconstruction algorithms,
however, cannot easily keep pace with the rapidly growing size of cryo-EM
datasets due to their high computational and memory cost. We introduce cryoAI,
an ab …
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