New measures of anisotropy of cryo-EM maps

Article Chemistry, Physical

Image processing tools for the validation of CryoEM maps

C. O. S. Sorzano et al.

Summary: This article proposes a new map validation scheme that takes into account not only the agreement between maps and models, but also factors such as 2D classes, particles, angles, coordinates, defoci, and micrographs. The scheme uses a progressive classification system to qualitatively evaluate the validation status of the results.

FARADAY DISCUSSIONS (2022)

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Article Biology

DeepEMhancer: a deep learning solution for cryo-EM volume post-processing

Ruben Sanchez-Garcia et al.

Summary: Sanchez-Garcia et al. introduce DeepEMhancer, a deep learning-based method for automatic post-processing of raw cryo-electron microscopy density maps. It globally improves local quality of density maps and shows potential as a useful tool for structures without readily available PDB models.

COMMUNICATIONS BIOLOGY (2021)

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Article Biochemistry & Molecular Biology

Algorithmic robustness to preferred orientations in single particle analysis by CryoEM

C. O. S. Sorzano et al.

Summary: The presence of preferred orientations in SPA by cryoEM poses a challenge for achieving high-resolution structures, but some image processing algorithms are more robust against these detrimental conditions.

JOURNAL OF STRUCTURAL BIOLOGY (2021)

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Article Multidisciplinary Sciences