AtomDiffuser predicts affine drift and spatially varying beam damage between STEM image frames, trained on synthetic degradation and shown qualitatively on real cryo-STEM data.
A hybrid frequency-spatial domain model for sparse image reconstruction in scanning transmission electron microscopy
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AtomDiffuser: Time-Aware Degradation Modeling for Drift and Beam Damage in STEM Imaging
AtomDiffuser predicts affine drift and spatially varying beam damage between STEM image frames, trained on synthetic degradation and shown qualitatively on real cryo-STEM data.