Learning to automate cryo-electron microscopy data collection with Ptolemy

Learning to automate cryo-electron microscopy data collection with Ptolemy

Over the past decade, cryo-electron microscopy (cryoEM) has emerged as an important method for determining near-native, near-atomic resolution 3D structures of biological macromolecules. To meet the increasing demand for cryoEM, automated methods that improve throughput and efficiency of microscope...

Descrizione completa

Dettagli Bibliografici
Autori principali: Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler
Natura: Articolo
Lingua:English
Pubblicazione: International Union of Crystallography 2023-01-01
Serie:IUCrJ
Soggetti:
cryoem
automated cryoem data collection
computer vision
microscope automation software
machine learning
deep learning
automation
single-particle cryoem
Accesso online:http://scripts.iucr.org/cgi-bin/paper?S2052252522010612

Accesso online

http://scripts.iucr.org/cgi-bin/paper?S2052252522010612

Documenti analoghi