Author: Lund University

Inspecting tomographic datasets and Protein Data Base files in Augmented Reality – the perfect tool for an immersive poster session

Inspecting tomographic datasets and Protein Data Base files in Augmented Reality – the perfect tool for an immersive poster session

ByLund University education, infrastructure, news, project-development

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 The workflow was originally made for the LINXS hackathon SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme, but after a positive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.

Hackathon: SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme

Hackathon: SynchroMage: 3D Tomography and Visualisation for Earth’s Hidden Treasures – Environment and Climate theme

ByLund University competency, education, training, training-past

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

Segmenting Glomeruli and other structures from synchrotron X-ray microtomography datasets

Segmenting Glomeruli and other structures from synchrotron X-ray microtomography datasets

ByLund University project-in-depth

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.

Butterflies in Virtual Reality: developing workflows for efficient morphological segmentation and analysis of X-ray microtomography Datasets

Butterflies in Virtual Reality: developing workflows for efficient morphological segmentation and analysis of X-ray microtomography Datasets

ByLund University project-in-depth

Initially an InfraVis pilot project, the VR lab at LTH has worked with Sridhar Halali, a researcher at the LU Dept. of Biology. As part of his work to understand how butterflies have evolved in response to environmental changes, Dr Halali has collected a dataset of microCT scans of butterflies. The specific trait of interest is in this case the shape of the head. It can, however, be a greatly time-consuming task to isolate body segments in a large 3-dimensional dataset using the 2D interface of the standard software (3D Slicer). This is where the VR Lab comes in, analyzing the problem, building on existing plugins for visualization and interaction in VR, and parallel processing to implement a solution to facilitate the task.