Micrograph frames from 110 internal SEMC/NYSBC test datasets used for Topaz-Denoise model generation & analysis
Ontology highlight
ABSTRACT:
SUBMITTER: Bonnie Berger
PROVIDER: EMPIAR-10473 | biostudies-other |
REPOSITORIES: biostudies-other
Publications
Topaz-Denoise: general deep denoising models for cryoEM and cryoET.
Bepler Tristan T Kelley Kotaro K Noble Alex J AJ Berger Bonnie B
Nature communications 20201015 1
Cryo-electron microscopy (cryoEM) is becoming the preferred method for resolving protein structures. Low signal-to-noise ratio (SNR) in cryoEM images reduces the confidence and throughput of structure determination during several steps of data processing, resulting in impediments such as missing particle orientations. Denoising cryoEM images can not only improve downstream analysis but also accelerate the time-consuming data collection process by allowing lower electron dose micrographs to be us ...[more]
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