people
Joakim Bohlin, InfraVis Application Expert, developed interactive tools for visualizing DNA, RNA, and protein structures. His work includes oxView for DNA nanotechnology, oxJenga for VR simulations of DNA origami, and Vrotein, a web app for protein visualization using VR/AR. These tools were showcased at MAX IV Users’ Meeting 2025.
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 The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive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.
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 The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive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.
Time: October 22-23, 2024; LINXS – Institute of Advanced Neutron and X-ray Science, IDEON Delta 5, Floor 5, Scheelevägen 19, 223 70 Lund, Sweden
This project focused on developing a user-friendly and accessible pipeline for producing 3D models or ‘meshes’ from volumetric datasets, specifically for this case, in the domain of biology.
Time: 13-15:30, March 14, 2024; Lund University, Sölvegatan 18, Lund, Sweden
Time: February 29, 2024; Copenhagen University, Frederiksberg Campus, Festauditoriet A1-01.01, Bülowsvej 17, 1870 Frederiksberg C, Copenhagen, Denmark
Time: October 31, 2023; Location: LINXS, IDEON Delta 5, Floor 5, Scheelevägen 19, 223 70 Lund, Sweden
Imaging at large-scale facilities offers unique opportunities for measuring a material’s microstructure. Most often, these measurements require quantitative image analysis to obtain the relevant information. To ensure a high scientific output from MAX IV, the QIM center aims at developing and using the most relevant tools for analyzing the data for a given problem.
LU-IPA, previously CIPA, is the Lund University infrastructure for Image Processing and Analysis.
LU-IPA provides services for image processing and analysis, guidance and tutorial to software, access to computer work stations with image processing and analysis software, access to on-site application expertise and tools.
