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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler
Format: Artikel
Sprache:English
Veröffentlicht: International Union of Crystallography 2023-01-01
Schriftenreihe:IUCrJ
Schlagworte:
cryoem
automated cryoem data collection
computer vision
microscope automation software
machine learning
deep learning
automation
single-particle cryoem
Online Zugang:http://scripts.iucr.org/cgi-bin/paper?S2052252522010612

Online

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

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