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Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structure of proteins and other macromolecular complexes at near-atomic resolution.
A more symmetrical fourier analysis applied to transmission problems
Ralph VL Hartley · 1942
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Strip integration in radio astronomy
Ronald N Bracewell · 1956
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A method for establishing the handedness of biological macromolecules
D M Belnap, N H Olson, and T S Baker · 1997
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Healpix: a framework for high-resolution discretization and fast analysis of data distributed on the sphere
Krzysztof M Gorski, Eric Hivon, Anthony J Banday, Benjamin D Wandelt, Frode K Hansen, Mstvos Reinecke, and Matthia Bartelmann · 2005
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The orthogonal tilt reconstruction method: an approach to generating single-class volumes with no missing cone for ab initio reconstruction of asymmetric particles
Andres E Leschziner and Eva Nogales · 2006
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SPARX, a new environment for Cryo-EM image processing
Michael Hohn, Grant Tang, Grant Goodyear, P R Baldwin, Zhong Huang, Pawel A Penczek, Chao Yang, Robert M Glaeser, Paul D Adams, and Steven J Ludtke · 2007
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EMAN2: an extensible image processing suite for electron microscopy
Guang Tang, Liwei Peng, Philip R Baldwin, Deepinder S Mann, Wen Jiang, Ian Rees, and Steven J Ludtke · 2007
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Determination of signal-to-noise ratios and spectral SNRs in cryo-EM low-dose imaging of molecules
William T Baxter, Robert A Grassucci, Haixiao Gao, and Joachim Frank · 2009
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Maximum-likelihood methods in cryo-em. part ii: Application to experimental data
Sjors HW Scheres · 2010
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Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
Anna Yershova, Swati Jain, Steven M LaValle, and Julie C Mitchell · 2010
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM
Xueming Li, Paul Mooney, Shawn Zheng, Christopher R Booth, Michael B Braunfeld, Sander Gubbens, David A Agard, and Yifan Cheng · 2013
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Likelihood-based classification of cryo-EM images using FREALIGN
Lyumkis, Dmitry, Brilot, Axel F, Theobald, Douglas L, and Grigorieff, Nikolaus · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Cryo-EM enters a new era
Werner Kühlbrandt · 2014
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Cryo-EM structure of the Plasmodium falciparum 80S ribosome bound to the anti-protozoan drug emetine
Wilson Wong, Xiao-Chen Bai, Alan Brown, Israel S Fernandez, Eric Hanssen, Melanie Condron, Yan Hong Tan, Jake Baum, and Sjors H W Scheres · 2014
Cited alongside, same era.
Rapid solution of the cryo-EM reconstruction problem by frequency marching
Alex Barnett, Leslie Greengard, Andras Pataki, and Marina Spivak · 2016
Cited alongside, same era.
Automatic differentiation in pytorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 2017
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cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
Ali Punjani, John L Rubinstein, David J Fleet, and Marcus A Brubaker · 2017
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CocoNet: A deep neural network for mapping pixel coordinates to color values
Paul Andrei Bricman and Radu Tudor Ionescu · 2018
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Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION
Takanori Nakane, Dari Kimanius, Erik Lindahl, and Sjors Hw Scheres · 2018
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Cryo-EM in drug discovery: achievements, limitations and prospects
Jean-Paul Renaud, Ashwin Chari, Claudio Ciferri, Wen-Ti Liu, Hervé-William Rémigy, Holger Stark, and Christian Wiesmann · 2018
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Joseph H Davis, Yong Zi Tan, Bridget Carragher, Clinton S Potter, Dmitry Lyumkis, and James R Williamson · 2016
Cited alongside, same era.
Continuous changes in structure mapped by manifold embedding of single-particle data in cryo-EM
Joachim Frank and Abbas Ourmazd · 2016
Cited alongside, same era.
How cooperative are protein folding and unfolding transitions?
Pooja Malhotra and Jayant B Udgaonkar · 2016
Cited alongside, same era.
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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3d shape induction from 2d views of multiple objects
Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
Cited alongside, same era.
Continuously heterogeneous hyper-objects in cryo-EM and 3-D movies of many temporal dimensions
Roy R Lederman and Amit Singer · 2017
Cited alongside, same era.
A Bayesian view on cryo-EM structure determination
Sjors H W Scheres
Cited in the paper.
Multi-view consistency as supervisory signal for learning shape and pose prediction
Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
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Explicitly disentangling image content from rotation and translation with spatial-VAE
Tristan Bepler, Ellen Zhong, Kotaro Kelley, Edward Brignole, and Bonnie Berger · 2019
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Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM
Roy R Lederman, Joakim Andén, and Amit Singer · 2019
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Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Amit Moscovich, Amit Halevi, Joakim Andén, and Amit Singer · 2019
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Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
Karen Ullrich, Rianne van den Berg, Marcus Brubaker, David Fleet, and Max Welling · 2019
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Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
Nicholas Watters, Loic Matthey, Christopher P Burgess, and Alexander Lerchner · 2019
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