27 citations · 27 across the 3 of their papers we have counts for
4 papers
Atelier: Learning Local Self-Supervised Features for CryoEM Volumes via Hypernetworks
Phillip Lo, Sudarshan Babu, Dari Kimanius +1
CryoEM map interpretation requires features that are spatially localized, consistent across samples, and informative across spatial scales. Most deep learning methods for map annot…
POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET
Jonathan Schwartz, Utz Heinrich Ermel, C. Braxton Owens +6
Cryo-electron tomography (cryoET) has emerged as a powerful tool in structural and cellular biology by enabling direct visualization of macromolecular structures within intact cell…
Ghostbuster: a phase retrieval diffraction tomography algorithm for cryo-EM
Joel Yeo, Benedikt J. Daurer, Dari Kimanius +4
Ewald sphere curvature correction, which extends beyond the projection approximation, stretches the shallow depth of field in cryo-EM reconstructions of thick particles. Here we sh…
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
Kiarash Jamali, Dari Kimanius, Sjors H. W. Scheres
Electron cryo-microscopy (cryo-EM) produces three-dimensional (3D) maps of the electrostatic potential of biological macromolecules, including proteins. Along with knowledge about…