News
Computational Imaging group news
CWI podcast: How the FleX-ray scanner reveals art secrets
The science podcast "How CWI's FleX-ray scanner reveals art secrets" is now online. CWI PhD candidate Francien Bossema (CI) and Rijksmuseum professor Erma Hermens talk to science journalist Bennie Mols about our …
CT scan by CWI reveals hidden double-panel painting from Rubens studio
CT scans of a Rijksmuseum panel painting in CWI’s FleX-ray laboratory have revealed a surprising insight: it turns out it was not painted on oak, as was always assumed, but on tropical …
IMPACT4ART: the interplay between scientists, art historians, conservators and the general public
The wooden sculpture shown in the green oval is surrounded by mystery: How old is this wooden sculpture? Where and by whom was it made? Mathematics and computer science can help to …
Cycling & Mathematics: why Wilco Kelderman lost a minute or more to the early starters of the Giro 2020 …
Cycling pro Wilco Kelderman is a good individual time trialist and he said in his post-race interview that he felt he rode a great prologue at the Giro 2020. Knowing this, we …
Quest for the Hugo de Groot book chest
Rijksmuseum Amsterdam was pursuing an interesting question: in which book chest did Hugo de Groot escape from castle Loevestein in 1621? The Rijksmuseum and University of Amsterdam turned to CWI for help …
Insight in Wood: dating wooden objects with 3D CT imaging
Together with the Rijksmuseum, researchers of CIW's Computational Imaging group investigate art objects with the help of our state of the art FleX-ray scanner. PhD student Francien Bossema explains how they proceed.
Best Poster Prize for Allard Hendriksen
Allard Hendriksen, researcher at CWI’s Computational Imaging group was awarded the Best Poster Prize at the “Mathematics of Machine Learning” symposium.
EU Horizon 2020 grant award for realtime CT imaging project ‘xCting’
Project ‘xCTing’ from CWI’s Computational Imaging (CI) group and partners, has been awarded a grant from the EU Horizon 2020 Marie Curie Innovative Training Networks programme.
