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SUMMARY:Workshop: Hard X-rays imaging opportunities at ALBA
DTSTART:20260506T080000Z
DTEND:20260506T133000Z
DTSTAMP:20260519T155500Z
UID:indico-event-1730@indico.cells.es
DESCRIPTION:Speakers: Alessandra Patera\, Carles Bosch Piñol\, Johannes I
 hli\n\nInvited speakersMarcus Carlsson\, Associate Professor in Mathematic
 s at Lund UniversityTitle: Joint Holotomography Solver for Large-Scale Exp
 erimental Data ProcessingAbstract: Multi-distance holotomography enables q
 uantitative three-dimensional phase-contrast imaging with coherent hard X-
 rays and routinely achieves sub-100 nm resolution. At such resolutions\, r
 econstructions become sensitive to probe structure and scanning positions.
  Conventional workflows address these effects through sequential processin
 g steps\, which can limit accuracy.We present a scalable joint reconstruct
 ion framework that simultaneously estimates the object\, illumination prob
 e\, and scan-position corrections from the measured data. Using a bilinear
 -Hessian-based optimization strategy and a multi-GPU implementation\, the 
 method enables practical joint reconstruction of large experimental datase
 ts and reduces artifacts compared with conventional pipelines.Pablo Villan
 ueva-Perez\, Associate Professor in Synchrotron Radiation Research at Lund
  University's Department of PhysicsTitle: 3D and 4D X-ray imaging opportun
 ities at diffraction-limited storage ringsAbstract: The advent of diffract
 ion-limited storage rings\, such as MAX IV\, SIRIUS\, ESRF-EBS\, APS-U\, a
 nd the upcoming ALBA-II\, opens the door to new spatiotemporal frontiers i
 n X-ray imaging. Unlocking this potential\, however\, requires not only ad
 vances in reconstruction algorithms but also new acquisition strategies ca
 pable of efficiently capturing high-dimensional information from dynamic s
 ystems.In this talk\, I will present our recent progress in both acquisiti
 on and reconstruction methods for 3D and 4D (3D+time) X-ray imaging. First
 \, I will introduce X-ray multi-projection imaging (XMPI)\, a technique th
 at overcomes the rotational constraints of conventional time-resolved tomo
 graphy by generating multiple angularly resolved beams that probe the samp
 le simultaneously. This approach enables the recovery of 4D information wi
 thout the need for sample rotation or any scanning.Second\, I will present
  end-to-end\, self-supervised AI reconstruction frameworks for 3D and 4D i
 maging. These methods incorporate physical models and sample priors to pro
 duce high-fidelity reconstructions from sparse data\, enabling up to an or
 der-of-magnitude faster acquisitions without sacrificing spatial resolutio
 n in both full-field and coherent imaging modalities.Finally\, I will high
 light the spatiotemporal capabilities that emerge from combining XMPI with
  these AI-based approaches. This includes\, for example\, the ability to o
 bserve 4D dynamics at frequencies up to 25 kHz with sub-10 µm spatial res
 olution during advanced manufacturing processes.We anticipate that the com
 bination of XMPI and AI-driven reconstruction\, together with the capabili
 ties of ALBA-II and similar facilities\, will enable access to previously 
 unobservable dynamic phenomena across a wide range of scientific and indus
 trial applications.\n\nhttps://indico.cells.es/event/1730/\n\nWorkshop: Ha
 rd X-rays imaging opportunities at ALBA: https://zoom.us/j/92474120247?pwd
 =6Hib0fTqo6O2Ubkz5YoWAr1LCOwidU.1
LOCATION:Maxwell Auditorium (ALBA Synchrotron)
URL:https://indico.cells.es/event/1730/
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