TOMCAT: Multimodal Multiscale Dynamic Imaging

TOMCAT is a state‑of‑the‑art X‑ray imaging facility at the Swiss Light Source (SLS), dedicated to high‑resolution, dynamic, multi‑modal tomographic microscopy across a broad spectrum of scientific applications. 
 
Operated by the  X-ray Tomography Group at PSI,  TOMCAT integrates two complementary beamlines — S‑TOMCAT and I‑TOMCAT — to enable both absorption‑based and phase‑contrast imaging with isotropic voxel sizes ranging from a few hundred nanometers to ten micrometers, using either monochromatic or filtered white‑beam illumination. 
 
TOMCAT will resume regular user operations in Experimental Period 2026‑II, with the next proposal submission deadline on March 16, 2026 (midnight). For information on how to apply, please visit the Submitting Proposals  page.
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MarcoStampanoni_named_CPS_head

Congratulations to Marco Stampanoni on his appointment as Head of CPS

The TOMCAT Team warmly congratulates Marco Stampanoni on his appointment as Head of the PSI Center for Photon Science (CPS), effective 1 December 2026. He will succeed Gabriel Aeppli, who has led CPS since 2014.

I-TOMCAT First Tomo

Brand new I-TOMCAT beamline comes to life

Marking another milestone in the TOMCAT 2.0 upgrade project, I-TOMCAT — our newly built beamline — received its first X-ray light on September 25, 2025.

stomcat first light tomo with scale bar

S-TOMCAT beamline receives first X-ray light

On June 25th 2025, the S-TOMCAT beamline shutters were opened to receive first X-ray light from the new SLS 2.0 storage ring. 

 

Jisoo Kim receives PSI Thesis Medal 2023

Jisoo Kim receives PSI Thesis Medal 2023

Jisoo Kim receives the PSI Thesis Medal 2023. With this award, PSI recognises outstanding PhD theses, achieving  a high degree of innovation and potentially leading to scientific breakthroughs. Jisoo holds a Master of Science from the Korean Advanced Institute of Science &Technology and defended his thesis entitled “Towards time-resolved X-ray scattering tensor tomography” at ETH Zürich.

News Archive
Goran Lovric
•Health Innovation
•6 min

Colorazione virtuale dei tessuti in 3D

Scienze mediche
SLS
Biologia
Diagnostica

I ricercatori presso l'Istituto Paul Scherrer PSI hanno sviluppato un sistema di intelligenza artificiale in grado di colorare i dati in scala di grigi forniti dalla micro-CT, facendoli apparire come i campioni della classica istologia. Grazie a questo, in futuro i tessuti potrebbero essere analizzati con una tecnica tridimensionale, anziché solo in sottili sezioni microscopiche.

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