ML-Augmented Reconstruction
Because the learned operator acts on reconstructed objects, it is agnostic to detector size, pixel sampling, and solver details. The method augments CDTools instead of replacing the ptychographic reconstruction framework. The proposed meth…
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Because the learned operator acts on reconstructed objects, it is agnostic to detector size, pixel sampling, and solver details. The method augments CDTools instead of replacing the ptychographic reconstruction framework. The proposed method accelerates reconstruction by inserting a learned fast-forward operator into a conventional iterative workflow. The learned prediction reinitializes the iterative solver before ordinary physics-based updates continue.