Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-19T05:33:28.959Z Has data issue: false hasContentIssue false

CryoDiscovery™: Public Data Based AI/ML Model Enhancements for Cryo-Electron Microscopy Image Analysis

Published online by Cambridge University Press:  22 July 2022

Ryan Dehart
Affiliation:
HTI Inc., Portland Oregon, United States.
Elliot Gray
Affiliation:
HTI Inc., Portland Oregon, United States.
Narasimha Kumar*
Affiliation:
HTI Inc., Portland Oregon, United States.
Hitha Yeccaluri
Affiliation:
HTI Inc., Portland Oregon, United States.
*
*Corresponding author: kumar@hti.ai

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Technical Advances in Cryo-EM
Copyright
Copyright © Microscopy Society of America 2022

References

Chung, SC., Lin, HH., Niu, PY. et al. Pre-pro is a fast pre-processor for single-particle cryo-EM by enhancing 2D classification. Commun Biol 3, 508 (2020).CrossRefGoogle Scholar
The authors acknowledge help and directions from Dr. Slavica Janic, CNRS, FrancGoogle Scholar