The application to the Swedish Research Council 2021 was approved and the InfraVis partner organisations: Chalmers University of Technology (Chalmers), Linköping University (LiU), Linneus University (LNU), Lund University (LU), MidSweden University(MIUN), Royal Institute of Technology (KTH), Umeå University (UmU), University of Gothenburg(UGot) and Uppsala University (UU) are now planning for the start-up phase of this globally unique Research Infrastructure for visualisation of scientific data!
Visualisation and Analysis at Lund University
The InfraVis mission is to enable scientific discovery through the application of advanced visualisation and data analysis techniques. Users of InfraVis will receive support through:
1) a national help desk with rapid response times;
2) in-depth projects addressing specific data and software challenges;
3) software solutions based on development within connected research groups;
4) curation of international software and best practice, and
5) user training in the form of courses, seminars and on-line documentation.
Lund University is one of the nine Swedish universities forming the InfraVis constellation that with Chalmers as lead partner will submit an application to the Research Council for national infrastructure funding. The InfraVis@LU Team draws upon the breadth of knowledge at LU, with key elements being located in four faculties. InfraVis@LU brings together experts in virtual reality, microscopy, tomography and machine learning providing a coherent service to researchers at LU and beyond.
Key Elements of InfraVis@LU
LU Humanities Lab (www.humlab.lu.se) is an infrastructure for the study of human behaviour in a broad sense (abbreviated as cognition, communication, and culture) at Lund University. It offers LU researchers free access to advanced sensor-based technology generating 2D and 3D data (e.g. EEG, eye-tracking, motion capture, laser scanning, electromagnetic articulography), the e-scientific/AI tools including language technology to work on the data, methodological know-how, and training.
The Virtual Reality Lab (www.design.lth.se/english/the-department/research-laboratories/virtualr…) at Lund university is an infrastructure for research and innovation utilizing virtual reality (VR) and augmented reality (AR) technology for a wide range of applications. It offers a broad spectrum of hardware, from large immersive VR systems to wearable AR and various types of interaction e.g. eye tracking and haptics.
The Lund University Bioimaging Centre (LBIC; www.lbic.lu.se) is the imaging core facility at the Faculty of Medicine, Lund University. Equipment ranges from electron microscopes to the National 7T MRI facility. Within the InfraVis framework, LBIC can help users prepare their imaging data for use in Unreal Engine as well as several 3D software packages for both interactive experiences and animation. For examples, see the LBIC website.
LUNARC (www.lunarc.lu.se) is the centre for scientific and technical computing at Lund University as well as long-time member of the Swedish National Infrastructure for Computing (SNIC). LUNARC has operated several high-performance computing, storage, and visualisation resources for both LU and SNIC. LUNARC provides training and has worked in development projects including LU Humanities Lab and LBIC. Application experts within LUNARC are integrated directly into both CIPA and QIM.
CIPA (Correlative Image Processing and Analysis; www.microscopy.lu.se/cipa) provides access to image analysis expertise, tools for handling high-end data and analysis as well as training for users. CIPA also contributes to linking infrastructures for imaging, data handling and analysis distributed at both Lund University and other organisations. The CIPA team at Lund University has a strong cross-disciplinary composition with members from the Faculties of Medicine, Science and Engineering (LTH).
The Center for Quantification of Imaging Data from MAX IV (www.lunarc.lu.se/projects/qim) develops algorithms for quantitative image analysis. The aim of QIM is to support research carried out a large-scale imaging facilities, including both industrial and clinical applications. QIM is experienced in analyzing samples across a wide range of scientific disciplines. Projects are carried out either in close collaboration with experimental scientists or on a consultancy basis. Developed tools are made freely available.
AI Lund (www.ai.lu.se) is an interdisciplinary network for research, education and innovation in the field of Artificial Intelligence. It is coordinated by Lund University and open to members from academia, industry, public sector and other organisations. The network has been formed to consolidate these activities and simplify contacts with students, industry and society as a whole. Members of AI Lund make active contributions to the analysis of data, e.g. by using deep neural networks to classify medical images.