Automatic local resolution-based sharpening of cryo-EM maps.

ABSTRACT:

Motivation

Recent technological advances and computational developments have allowed the reconstruction of Cryo-Electron Microscopy (cryo-EM) maps at near-atomic resolution. On a typical workflow and once the cryo-EM map has been calculated, a sharpening process is usually performed to enhance map visualization, a step that has proven very important in the key task of structural modeling. However, sharpening approaches, in general, neglects the local quality of the map, which is clearly suboptimal.

Results

Here, a new method for local sharpening of cryo-EM density maps is proposed. The algorithm, named LocalDeblur, is based on a local resolution-guided Wiener restoration approach of the original map. The method is fully automatic and, from the user point of view, virtually p

SUBMITTER: Ramirez-Aportela E 

PROVIDER: S-EPMC9883678 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature