Scientific Visualization

Photo credits: Thor Balkhed

The group Scientific Visualization is a part of the division for Media and Information Technology (MIT). 

The group activities range from basic research questions to effective solution of visualization problems originating from diverse application areas. This is developing novel analysis, visualization and exploration techniques for a better understanding and communication of large data.

The applications include fluid-flow simulations, molecular dynamics, digital pathology, material sciences, astronomy, space missions and many medical topics. We develop methods for rendering, analysis and exploration of complex data including scalar, vector and tensor fields.

The research builds on ideas and methods from different areas of computer sciences and mathematics, such as computer graphics, computer vision, dynamical systems, computational geometry, and combinatorial topology.

Research areas

  • Molecular visualization
  • Visualization in medicine
  • Interactive volume rendering
  • Digital Pathology
  • Astronomy visualization
  • OpenSpace: Visualization of space missions 
  • Flow visualization in engineering and medicine
  • Topological methods for data analysis
  • Tensor field visualization
  • Software Inviwo – an extensible, multi-purpose visualization framework

Latest publications

2023

Emma Broman, Jacqueline Faherty, Laura Kreidberg, Sebastian Zieba, Charles Hansen, Anders Ynnerman, Alexander Bock (2023) ExoplanetExplorer: Contextual Visualization of Exoplanet Systems 2023 IEEE VISUALIZATION AND VISUAL ANALYTICS, VIS, p. 81-85 Continue to DOI
Farhan Rasheed, Talha Bin Masood, Tejas G. Murthy, Vijay Natarajan, Ingrid Hotz (2023) Multi-scale visual analysis of cycle characteristics in spatially-embedded graphs VISUAL INFORMATICS, Vol. 7, p. 49-58 Continue to DOI
Fernando Cossío, Haiko Schurz, Mathias Engström, Carl Barck-Holst, Apostolia Tsirikoglou, Claes Lundström, Håkan Gustafsson, Kevin Smith, Sophia Zackrisson, Fredrik Strand (2023) VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging Journal of Medical Imaging, Vol. 10 Continue to DOI
Derya Akbaba, Miriah Meyer (2023) "Two Heads are Better than One": Pair-Interviews for Visualization 2023 IEEE Visualization and Visual Analytics (VIS) Continue to DOI
Derya Akbaba, Devin Lange, Michael Correll, Alexander Lex, Miriah Meyer (2023) Troubling Collaboration: Matters of Care for Visualization Design Study PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2023) Continue to DOI
Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström (2023) The thorny complexities of visualization research for clinical settings: A case study from genomics FRONTIERS IN BIOINFORMATICS, Vol. 3, Article 1112649 Continue to DOI
Marina Gonzalez-Sanchez, Mariia J. Mayoral, Violeta Vazquez-Gonzalez, Marketa Paloncyova, Irene Sancho-Casado, Fatima Aparicio, Alberto de Juan, Giovanna Longhi, Patrick Norman, Mathieu Linares, David Gonzalez-Rodriguez (2023) Stacked or Folded? Impact of Chelate Cooperativity on the Self-Assembly Pathway to Helical Nanotubes from Dinucleobase Monomers Journal of the American Chemical Society, Vol. 145, p. 17805-17818 Continue to DOI
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström (2023) Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation MEDICAL IMAGING 2023, Article 124710W Continue to DOI
Danilo Hirabae De Oliveira, Michal Biler, Carsten Mim, Linnea Enstedt, Mathias Kvick, Patrick Norman, Mathieu Linares, My Hedhammar (2023) Silk Assembly against Hydrophobic Surfaces?Modeling and Imaging of Formation of Nanofibrils ACS Applied Bio Materials, Vol. 6, p. 1011-1018 Continue to DOI
Katriann Arja, Robert Selegård, Marketa Paloncyova, Mathieu Linares, Mikael Lindgren, Patrick Norman, Daniel Aili, Peter Nilsson (2023) Self-Assembly of Chiro-Optical Materials from Nonchiral Oligothiophene-Porphyrin Derivatives and Random Coil Synthetic Peptides ChemPlusChem, Vol. 88 Continue to DOI

Staff

Organisation