GROOVY
HiGh ContRast DichrOic ReflectiOn EUV MicroscopY
Extreme ultraviolet (EUV) radiation offers unique possibilities for quantitative, material-specific imaging of surfaces and interfaces at the nanoscale. GROOVY develops a novel table-top EUV dichroic imaging solution based on polarization-sensitive reflection geometry.
By combining compact, laser-driven EUV sources with ptychography – a lens-less, non-destructive imaging technique – the project aims to achieve nanometer lateral and sub-Angstrom axial resolution. A key focus lies on advancing fast and efficient reconstruction algorithms for reflection ptychography, enabling quantitative insights into transient nanoscale spin and magnetic structures.
Through applications in materials science, optics and biology, and in collaboration with academic and industry partners, GROOVY will benchmark EUV reflection microscopy against existing techniques and demonstrate its broad applicability.
Other projects
AutoCoast
Automatic detection of coastline change and causal linkage with natural and human drivers
Coastal erosion enhanced by climate change has become an increasing global threat, which requires rapid detection and reliable risk assessment. AutoCoast aims to provide advanced and reliable remote sensing-based AI tools to quantify coastline change rate at high-resolution and unravel the linkage between coastline change rate and natural and anthropogenic drivers at regional to global scale.
ForestUNLOCK: A multi-modal Multiscale Benchmark Dataset for AI-Driven Boreal Forest Monitoring and Carbon Accounting
Building the first consistent multi-modal single tree benchmark for forest structure and carbon stock assessments of the northern boreal forest
PlastoView
Microplastic Detection with the PlastiScope
Water quality is essential for ecosystems and human health, yet it's increasingly threatened by microplastics. This project develops image-based methods for detecting both plankton and microplastics using a new low-cost, mobile system.