Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
Jonathan Bouvette(Université de Montréal), Alberto Bartesaghi(Duke University), Juliana da Fonseca Rezende e Mello(National Institutes of Health), Mario J. Borgnia(National Institutes of Health), Roel M. Schaaper(National Institutes of Health), Hsuan-Fu Liu(Duke University), Bradley P. Klemm(National Institutes of Health), Ye Zhou(Duke University), Rick Huang(Howard Hughes Medical Institute), Andrew P. Sikkema(New England Biolabs (United States)), Xiaochen Du(Duke University)
Cited by 10
Related Papers
Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
|Nature Communications|2021|100
Structure of human GABAB receptor in an inactive state
|Nature|2020|98
nextPYP: a comprehensive and scalable platform for characterizing protein variability in situ using single-particle cryo-electron tomography
|Nature Methods|2023|51
High‐Complexity One‐Pot Golden Gate Assembly
|Current Protocols|2023|32
Revealing A-T and G-C Hoogsteen base pairs in stressed protein-bound duplex DNA
|Nucleic Acids Research|2021|27