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      Single-particle cryo-EM at atomic resolution

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          cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

          A software tool, cryoSPARC, addresses the speed bottleneck in cryo-EM image processing, enabling automated macromolecular structure determination in hours on a desktop computer without requiring a starting model.
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            MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy

            MotionCor2 software corrects for beam-induced sample motion, improving the resolution of cryo-EM reconstructions.
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              Is Open Access

              New tools for automated high-resolution cryo-EM structure determination in RELION-3

              Here, we describe the third major release of RELION. CPU-based vector acceleration has been added in addition to GPU support, which provides flexibility in use of resources and avoids memory limitations. Reference-free autopicking with Laplacian-of-Gaussian filtering and execution of jobs from python allows non-interactive processing during acquisition, including 2D-classification, de novo model generation and 3D-classification. Per-particle refinement of CTF parameters and correction of estimated beam tilt provides higher resolution reconstructions when particles are at different heights in the ice, and/or coma-free alignment has not been optimal. Ewald sphere curvature correction improves resolution for large particles. We illustrate these developments with publicly available data sets: together with a Bayesian approach to beam-induced motion correction it leads to resolution improvements of 0.2–0.7 Å compared to previous RELION versions.
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                Author and article information

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                Journal
                Nature
                Nature
                Springer Science and Business Media LLC
                0028-0836
                1476-4687
                October 21 2020
                Article
                10.1038/s41586-020-2829-0
                33087931
                0fa4b91c-1eb7-4ed1-97e9-c7bc81ab4d22
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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