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Improving Multislice Electron Ptychography with a Generative Prior

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arxiv 2507.17800 v2 pith:7MDE6OPC submitted 2025-07-23 eess.IV cond-mat.mtrl-scics.CVphysics.optics

classification eess.IVcond-mat.mtrl-scics.CVphysics.optics
keywords existingcrystaldiffusionelectrongenerativeinversemep-diffusionmethods
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Multislice electron ptychography (MEP) is an inverse imaging technique that computationally reconstructs the highest-resolution images of atomic crystal structures from diffraction patterns. Available algorithms often solve this inverse problem iteratively but are both time consuming and produce suboptimal solutions due to their ill-posed nature. We develop MEP-Diffusion, a diffusion model trained on a large database of crystal structures specifically for MEP to augment existing iterative solvers. MEP-Diffusion is easily integrated as a generative prior into existing reconstruction methods via Diffusion Posterior Sampling (DPS). We find that this hybrid approach greatly enhances the quality of the reconstructed 3D volumes, achieving a 90.50% improvement in SSIM over existing methods.

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    cs.CV 2025-08 conditional novelty 6.0 of 10

    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.

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