Advanced Visualization for Nutrient Recovery
Searching for phosphates in tiny particles of dust and soot, using
advanced visualizations and data analysis of volume slices from XRF uCT
scans.
Our Impact: Science & Discovery
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CT Sinogram Visualiser
InfraVis helped develop a real-time visualization tool for complex CT scan data (sinograms), allowing researchers to spot measurement issues early, identify areas of interest, and reduce the need for time-consuming reconstructions during imaging experiments.
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VIAMD (Visual Interactive Analysis of Molecular Dynamics)
VIAMD (Visual Interactive Analysis of Molecular Dynamics) is an innovative open-source software designed to enhance and streamline the analysis of molecular dynamics (MD) simulations.
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New Interreg funding for data-driven research and innovation
We are delighted to share that DataCatalyst Öresund has been approved through Interreg Öresund-Kattegat-Skagerrak. The project brings together Lund University, DTU – Technical University of Denmark and Medicon Valley Alliance Microbiome Network to strengthen data-driven research and innovation across the Öresund region over the next three years.
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Visualizing physical interactions of molecules in macromolecular scale
The research group led by Ilaria Testa (KTH, SciLife Lab) has developed a novel method for measuring the rotation of molecules in a solution.
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GenomeLens
The aim of the project is to produce the novel interactive tool “GenomeLens”, that uses genome sequencing data to visualize genetic variation along chromosomes within and between populations.
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Visualization of incommensurately modulated structures on example of allotropes of bromine at high pressures
This project developed a specialized 3D visualization tool to explore how halogen crystal structures transform under extreme pressure, particularly focusing on incommensurately modulated structures that emerge during molecular dissociation. By enabling interactive visualization of complex atomic configurations and transitions, the tool helps researchers interpret structural phase changes that are otherwise difficult to analyze using conventional crystallographic methods.
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Constructing a virtual Synchrotron X-ray beamline
Researchers from InfraVis and MAX IV are developing virtual environments from CAD drawings for education, training, and virtual experiments. Using Blender and Unreal Engine 5, the team optimizes complex geometries for immersive visualization of beamlines like ForMAX at MAX IV. Future work focuses on topology optimization for seamless VR experiences.
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InfraVis identified as key to Unlocking Data Potential at facilities like MAX IV and ESS
The recent Swedish Research Council report, Bottlenecks that Delay the Benefits of Large-Scale Research Infrastructure, highlights data management, analysis, and visualization as major challenges for researchers. We are honored that InfraVis has been recognized as a key infrastructure in unlocking data potential at facilities like MAX IV and ESS. We look forward to continuing this important work alongside our users.
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Inspecting tomographic datasets and Protein Data Base files in Augmented Reality – the perfect tool for an immersive poster session
The InfraVis node at Lund University has developed an application and workflow to visualize tomographic datasets in the immersive CAVE system at the Virtual Reality laboratory at LTH – Faculty of Engineering. The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive evaluation from participants, also described in the following LINXS article, we have kept the development going.
