no code implementations • 14 Sep 2023 • Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
In this work, we demonstrate that the ptychographic phase problem can be solved in a live fashion during scanning, while data is still being collected.
no code implementations • 19 May 2023 • Pablo Villanueva-Perez, Valerio Bellucci, Yuhe Zhang, Sarlota Birnsteinova, Rita Graceffa, Luigi Adriano, Eleni Myrto Asimakopoulou, Ilia Petrov, Zisheng Yao, Marco Romagnoni, Andrea Mazzolari, Romain Letrun, Chan Kim, Jayanath C. P. Koliyadu, Carsten Deiter, Richard Bean, Gabriele Giovanetti, Luca Gelisio, Tobias Ritschel, Adrian Mancuso, Henry N. Chapman, Alke Meents, Tokushi Sato, Patrik Vagovic
X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D).
1 code implementation • 12 Nov 2022 • Simon Welker, Henry N. Chapman, Timo Gerkmann
In this work, we utilize the high-fidelity generation abilities of diffusion models to solve blind JPEG restoration at high compression levels.
no code implementations • 17 Feb 2022 • Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
One of the most prominent challenges in the field of diffractive imaging is the phase retrieval (PR) problem: In order to reconstruct an object from its diffraction pattern, the inverse Fourier transform must be computed.
no code implementations • 13 Sep 2021 • Yulong Zhuang, Salah Awel, Anton Barty, Richard Bean, Johan Bielecki, Martin Bergemann, Benedikt J. Daurer, Tomas Ekeberg, Armando D. Estillore, Hans Fangohr, Klaus Giewekemeyer, Mark S. Hunter, Mikhail Karnevskiy, Richard A. Kirian, Henry Kirkwood, Yoonhee Kim, Jayanath Koliyadu, Holger Lange, Romain Letrun, Jannik Lübke, Abhishek Mall, Thomas Michelat, Andrew J. Morgan, Nils Roth, Amit K. Samanta, Tokushi Sato, Zhou Shen, Marcin Sikorski, Florian Schulz, John C. H. Spence, Patrik Vagovic, Tamme Wollweber, Lena Worbs, P. Lourdu Xavier, Oleksandr Yefanov, Filipe R. N. C. Maia, Daniel A. Horke, Jochen Küpper, N. Duane Loh, Adrian P. Mancuso, Henry N. Chapman, Kartik Ayyer
One of the outstanding analytical problems in X-ray single particle imaging (SPI) is the classification of structural heterogeneity, which is especially difficult given the low signal-to-noise ratios of individual patterns and that even identical objects can yield patterns that vary greatly when orientation is taken into consideration.