Noise-robust latent vector reconstruction in ptychography using deep generative models

Conference Paper (2024)
Author(s)

Jacob Seifert (Advanced Research Center for Nanolithography, Universiteit Utrecht)

Yifeng Shao (TU Delft - ImPhys/Coene group)

Allard P. Mosk (Advanced Research Center for Nanolithography)

Research Group
ImPhys/Coene group
DOI related publication
https://doi.org/10.1364/COSI.2024.CTh1B.2
More Info
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Publication Year
2024
Language
English
Research Group
ImPhys/Coene group
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
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Abstract

We introduce a novel approach for ptychographic reconstruction, integrating a pre-trained autoencoder within a reconstruction framework based on automatic differentiation. This enables noise-robust imaging and insight into optimization landscapes for applications with prior object knowledge.

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