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X-Ray Tomography Group

TOmographic Microscopy and Coherent rAdiology experimenTs

Prof. Stampanoni heads a group of over 20 people, including three staff scientists, two technicians, one controls engineer, and many postdocs and PhD students. The team focuses on the development of tools, both instrumentation and algorithms, for tomographic X-ray imaging, exploiting synchrotron and laboratory sources. The group is engaged in the design and construction of ultra-fast data acquisition systems (stroboscopic coherent X-ray radiology and tomography) to provide dynamic investigation of rapidly evolving systems. The group also intensively develops optimized applications for fast, concurrent post-processing of tomographic data starting from simple normalization corrections to ad-hoc reconstruction and artifact reductions algorithms. Finally, the group investigates, creates and optimizes novel imaging modalities based on the coherent properties of synchrotron radiation and works on the transition of such work to conventional x-ray sources.


1 July 2017

Matias Kagias joins the TOMCAT team as PostDoc

Matias Kagias, will continue his research within the TOMCAT team as a postdoc. He will be working on advanced gratings interferometry applications within the framework of the Eurostar project INFORMAT.

3 April 2017

Hector Dejea joined the TOMCAT team as a new PhD

Hector’s PhD will develop in the context of the Heart Imaging Project, working on cardiac tissue analysis with a focus towards dynamic experiments.

2 April 2017

Fei Yang joined the TOMCAT team as a PostDoc

With a PhD in materials science imaging applications, Fei will support the team in grating-based experiments both at the beamline and in the lab.

1 April 2017

Elena Borisova joined the TOMCAT team as a PostDoc

With a PhD in observational astrophysics, Elena has joined the beamline crew to support the team in theoretical aspects related to imaging.

26 February 2017

Marco Stampanoni appointed member of the SESAME SAC

The SESAME (Synchrotron-light for Experimental Science and Application in the Middle East) Council appointed Marco Stampanoni as Member of the Scientific Advisory Committee.
News Archive

Scientific Highlights 2016

20. October 2016


First protein structure solved using the JUNGFRAU detector!

JUNGFRAU is a charge-integrating, two-dimensional pixel detector developed at the Paul Scherrer Institut for use at free-electron lasers, in particular SwissFEL, and synchrotron light sources. On the 10th October, the first protein crystallography experiment using the JUNGFRAU detector, was performed at the beamline X06SA (PXI) of the Swiss Light Source by the members of the Protein Crystallography and Detectors groups at PSI.

30 June 2016

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Single shot grating interferometry demonstrated using direct conversion detection

Researchers at the Paul Scherrer Institute's Swiss Light Source in Villigen, Switzerland, have developed an X-ray grating interferometry setup which does not require an analyzer grating, by directly detecting the fringes generated by the phase grating with a high resolution detector. The 25um pitch GOTTHARD microstrip detector utilizes a direct conversion sensor in which the charge generated from a single absorbed photon is collected by more than one channel. Therefore it is possible to interpolate to achieve a position resolution finer than the strip pitch. The micron-level resolution delivered by the detector together with the appropriate algorithm to analyze the recorded fringe allows the differential phase signal to be retrieved. The interferometer's flux efficiency is increased by a factor of 2 compared to a standard Talbot-Lau interferometer by avoiding the use of the analyzer grating, which will lead to faster acquisition times and a potential dose reduction.

30 March 2016

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Watching lithium move in battery materials

In order to understand limitations in current battery materials and systematically engineer better ones, it is helpful to be able to directly visualize the lithium dynamics in materials during battery charge and discharge. Researchers at ETH Zurich and Paul Scherrer Institute have demonstrated a way to do this.