Name: LocScale-EMmerNet deep learning models for contrast optimisation of cryo-EM maps
Keywords: cryo-EM, map sharpening, density modifcation, deep learning

Research datakeyboard_double_arrow_right Dataset 16 Jun 2022Publisher:ZenodoFunded by:EC | AUTOCARGO, EC | PHAGOSCOPY

Authors: De Bruin, Reinier; Bharadwaj, Alok; Jakobi, Arjen J.;

doi: 10.5281/zenodo.6651990 , 10.5281/zenodo.6651995 , 10.5281/zenodo.6651750 , 10.5281/zenodo.8211668 , 10.5281/zenodo.6651751

LocScale-EMmerNet deep learning models for contrast optimisation of cryo-EM maps

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Abstract

{"references": ["Bharadwaj, A and Jakobi, AJ: LocScale - reference-based sharpening of cryo-EM maps. (2022); https://gitlab.tudelft.nl/aj-lab/locscale", "Bharadwaj A and Jakobi AJ: Electron scattering properties of biological macromolecules and their use in cryo-EM map sharpening (2022). Faraday Discussions, DOI https://doi.org/10.1039/D2FD00078D"]}

EMmerNet deep learning models local optimisation of cryo-EM map contrast using LocScale.

Related Organizations

Delft University of Technology
Netherlands

Keywords

cryo-EM, map sharpening, density modifcation, deep learning

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LocScale – reference-based local sharpening of cryo-EM maps
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