Back to search

Article

DeepCryoPicker: Fully Automated Deep Neural Network for Single Protein Particle Picking in cryo-EM

2019-09-10

Abstract excerpt

Cryo-electron microscopy (Cryo-EM) is widely used in the determination of the three-dimensional (3D) structures of macromolecules. Particle picking from 2D micrographs remains a challenging early step in the Cryo-EM pipeline due to the diversity of particle shapes and the extremely low signal-to-noise ratio (SNR) of micrographs. Because of these issues, significant human intervention is often required to generate...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c08cfecb-98c2-57c2-b013-51368b9817bc
DOI
10.1101/763839
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
DeepCryoPicker: Fully Automated Deep Neural Network for Single Protein Particle Picking in cryo-EMDOI 10.1101/763839
Select a neighboring publication to make it the new centre.