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.
| Original language | English |
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| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | Computational Optical Sensing and Imaging 2024 - Part of Optica Imaging Congress - Toulouse, France Duration: 15 Jul 2024 → 19 Jul 2024 |
Conference
| Conference | Computational Optical Sensing and Imaging 2024 - Part of Optica Imaging Congress |
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| Abbreviated title | COSI 2024 |
| Country/Territory | France |
| City | Toulouse |
| Period | 15/07/24 → 19/07/24 |
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-careOtherwise 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.