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cs.AI2026
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…
eess.IV2026
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…