
Outreach talk at Trieste’s Adriaco
Prof. Thibault was invited by the Regional division of the association Marevivo to give an outreach talk about our recent work using X-rays to help
Our research is focused on pushing the limits of X-ray imaging techniques towards ever higher resolution and higher contrast sensitivity. In particular, we look at means of using coherence and the related interference and diffraction phenomena as tools to efficiently encode nanometer-scale information from samples of interest. Decoding this information requires sophisticated algorithmic techniques, which are a specialty of our group.
The two main techniques applied and investigated in our group are called ptychography and speckle-based X-ray imaging.
Prof. Thibault was invited by the Regional division of the association Marevivo to give an outreach talk about our recent work using X-rays to help
Dr. Vittorio Di Trapani, who just completed his PhD at the University of Siena, is joining the team today as a post-doc. Vittorio has vast
In a new paper published last week, we show how ptychography can be used to characterize the extremely short and powerful X-ray pulses generated at
We are always ready to take on new challenges, with new collaborators and ideas of systems and samples to image. We are also looking for industrial partners.
Daurer, B. J.; Sala, S.; Hantke, M. F.; Reddy, H. K. N.; Bielecki, J.; Shen, Z.; Nettelblad, C.; Svenda, M.; Ekeberg, T.; Carini, G. A.; Hart, P.; Osipov, T.; Aquila, A.; Loh, N. D.; Maia, F. R. N. C. & Thibault, P., Ptychographic wavefront characterization for single-particle imaging at x-ray lasers, Optica (2021),
The S-BaXIT project is carried out by Prof. Thibault’s group, OptImaTo, devoted to the development and application of novel X-ray imaging methods. Have a look at our profiles!
University of Trieste
Department of Physics
via A. Valerio, 2
34127 Trieste (Italy)
T. +39 040 558 2960
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement n. 866026
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