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...

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Bibliografiska uppgifter
Huvudupphovsmän:	Paul T. Kim, Alex J. Noble, Anchi Cheng, Tristan Bepler
Materialtyp:	Artikel
Språk:	English
Publicerad:	International Union of Crystallography 2023-01-01
Serie:	IUCrJ
Ämnen:	cryoem automated cryoem data collection computer vision microscope automation software machine learning deep learning automation single-particle cryoem
Länkar:	http://scripts.iucr.org/cgi-bin/paper?S2052252522010612

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