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AutoPhaseNN: Unsupervised Physics-aware Deep Learning of 3D Nanoscale Bragg Coherent Diffraction Imaging [article]

Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara
2022 arXiv   pre-print
Using a 3D nanoscale X-ray imaging modality (Bragg Coherent Diffraction Imaging or BCDI) as a representative technique, we demonstrate AutoPhaseNN, a DL-based approach which learns to solve the phase problem  ...  By incorporating the physics of the imaging technique into the DL model during training, AutoPhaseNN learns to invert 3D BCDI data from reciprocal space to real space in a single shot without ever being  ...  Unsupervised deep learning model The architecture of the unsupervised physics-aware deep learning model (AutoPhaseNN) is depicted in Fig. 1A .  ... 
arXiv:2109.14053v2 fatcat:y6hntugnbbgb3kyxl3fhpdkzci