Event-based reconstructions in Computational Microscopy
Publication date
2025-09-22
Authors
Rivera Sanchez, Fabrizio Aaron
Seifert, Jacob
Karpavicius, Augustas
Gouder, Matthias
Witte, Stefan
Editors
Advisors
Supervisors
Document Type
/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/conferencearticle
Metadata
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Abstract
We present a maximum-likelihood estimation (MLE) framework tailored to event-driven detectors to perform computational image reconstruction and phase retrieval. Using Poissonian photon statistics, we built an event-based loss function that maximizes the probability of having the set of events and non-events given the initial parameters. Our loss function can be utilized in both optical and electron ptychography. We demonstrate experimental reconstructions using data acquired with a Timepix3 detector.
Keywords
General Physics and Astronomy
Citation
Rivera Sanchez, F A, Seifert, J, Karpavicius, A, Gouder, M & Witte, S 2025, 'Event-based reconstructions in Computational Microscopy', EPJ Web of Conferences, vol. 335, 01006. https://doi.org/10.1051/epjconf/202533501006