A fully automatized iterative reconstruction pipeline designed to reconstruct and segment dynamic processes within a static matrix has been developed at TOMCAT. The algorithm performance is demonstrated on dynamic fuel cell data where it enabled automatic extraction of liquid water dynamics from sub-second tomographic microscopy data. The work is published in Scientific Reports on 2 October 2020.
In a recent study, TOMCAT has shown that lossy compression by a factor of at least 3 to 4 of raw acquisitions generally does not affect the reconstruction quality and that higher factors (six to eight times) can be achieved for tomographic volumes with a high signal-to-noise ratio as it is the case for phase-retrieved datasets. This finding is relevant to current challenges on large tomography data management and storage especially at synchrotron facilities. The results of this study was published in Journal of Synchrotron Radiation.
Researchers from the TOMCAT beamline have developed a small-angle scattering tensor tomography method to visualize microscopic features within a macroscopic field of view with unprecedented data acquisition speed. The results of the study were published in Applied Physics Letters on April 1, 2020.
Researchers from the CWI in Amsterdam and the TOMCAT beamline have developed and implemented a real-time CT reconstruction, visualisation, and on-the-fly analysis approach to monitor dynamic processes as they occur. With processes of multiple sets of CT slices per second, this represents the next crucial step towards adaptive feedback control of time-resolved in situ tomographic experiments. The results of this study were published in Scientific Reports on December 5, 2019.
A novel high-numerical-aperture macroscope optics dedicated to high-temporal and high-spatial resolution X-ray tomographic microscopy is available at TOMCAT. Coupled with the in-house developed GigaFRoST camera, this highly efficient imaging setup enables tomographic microscopy studies at 20 Hz and beyond, opening up new possibilities in tomographic investigations of dynamic processes. A detailed characterization of the macroscope performance was published in Journal of Synchrotron Radiation on May 21, 2019.
Researchers from the TOMCAT beamline, University College London (UCL), IDIBAPS and Universitat Pompeu Fabra (UPF) have developed a methodology that allows the multiscale analysis of the structural changes resulting from remodelling cardiovascular diseases, from whole organ down to single-cell level. This methodology has been published as an article in the journal Scientific Reports on May 6th 2019.
The PSI Thesis Medal is awarded every second year to the best PhD thesis performed at the Paul Scherrer Institut. Matias received the prize for his excellent thesis entitled "Direct Self-Imaging Methods for X-ray Differential Phase and Scattering Imaging". Congratulations!
The TOMCAT team in collaboration with scientists from CFEL, MaxIV and ESRF developed a method for hard X-ray multi-projection imaging, using a single crystal to split the beam into multiple beams with different directions.
The PSI in-house developed GigaFRoST high-speed camera and readout system is available for fast imaging experiments at the TOMCAT beamline, opening up exciting new possibilities for the observation of fast dynamic phenomena with X-ray tomography.