people
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.
Diabetes is a long-lasting health condition with serious complications. We studied a new group of rats with a specific genetic mutation linked to diabetes. Regardless of their gender and blood sugar levels, these rats were overweight and had larger livers, hearts, and kidneys compared to normal rats. A study of the size of Bowmans space (difference between outer perimeter and Tuft of their glomeruli) can reveal tendencies toward having or developing cancer. In that respect advanced machine learning approaches are used to automatically segment and evaluate 3D volumetric information of many of the structures found within the tomography scans collected.
Node Coordinator
