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Dose-efficient automatic differentiation for ptychographic reconstruction

Wu, L; Yoo, S; Chu, YS; Huang, X; Robinson, IK; (2024) Dose-efficient automatic differentiation for ptychographic reconstruction. Optica , 11 (6) pp. 821-830. 10.1364/OPTICA.522380. Green open access

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Abstract

Ptychography, as a powerful lensless imaging method, has become a popular member of the coherent diffractive imaging family over decades of development. The ability to utilize low-dose X-rays and/or fast scans offers a big advantage in a ptychographic measurement (for example, when measuring radiation-sensitive samples), but results in low-photon statistics, making the subsequent phase retrieval challenging. Here, we demonstrate a dose-efficient automatic differentiation framework for ptychographic reconstruction (DAP) at low-photon statistics and low overlap ratio. As no reciprocal space constraint is required in this DAP framework, the framework, based on various forward models, shows superior performance under these conditions. It effectively suppresses potential artifacts in the reconstructed images, especially for the inherent periodic artifact in a raster scan. We validate the effectiveness and robustness of this method using both simulated and measured datasets.

Type: Article
Title: Dose-efficient automatic differentiation for ptychographic reconstruction
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/OPTICA.522380
Publisher version: http://dx.doi.org/10.1364/optica.522380
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > London Centre for Nanotechnology
URI: https://discovery.ucl.ac.uk/id/eprint/10194156
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