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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.


14 September 2018

New TOMCAT paper

Our team in collaboration with scientists from CFEL, MaxIV and ESRF published a work presenting a method for hard X-ray multi-projection imaging. The idea is to split the main beam from a synchrotron or, in the future, from a X-FEL, into multiple beams in order to acquire simultaneous, angularly spaced projection of a sample. This approach provides multiple angular views of the specimens and can provide volumetric information of natural processes and non-reproducible samples in a single shot.

1 December 2017

Arttu Miettinen joins the TOMCAT team as PostDoc

After his PhD at the University of Jyväskylä in Finnland in image analysis, Arttu will be working on the stitching and segmentation of large datasets in the framework of the Human Brain Project.
News Archive

Scientific Highlights 2017

17 November 2017

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PSI spin-off GratXray wins Swiss Technology Award 2017

Research Using Synchrotron Light Human Health

A spin-off from PSI has received this year's Swiss Technology Award: The young company GratXray is developing a new method for early diagnosis of breast cancer.

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.