Scientific visualisation

Scientific visualisation is about data in a spatial context. Our work covers a variety of application fields ranging from flow visualisation to astronomy.

Volume visualisation

Generation of interactive imagery from scalar three-dimensional data, for instance using data from medical imaging or complex simulations.

Molecular dynamics visualisation

The results of particle-based simulations are difficult to analyse. Specifically, unexpected effects are not easy to grasp. Interactive visualisation helps in the process of analysing the results of such simulations.

Flow, vector field and tensor field visualisation

Vectors and tensors are being used if directional information are important, for instance when investigating data from magnetic resonance imaging.

Visualisation of protein dynamics and systems biology

Simulations are a key enabler for new insights in systems biology research. New visualisation techniques help understanding the outcomes of such simulations.

Visualisation of astronomical data and objects

We develop novel and fast interactive visualisation techniques for the faithful reconstruction of actual astronomic objects. This way, three-dimensional visualisations can be constructed from two-dimensional imagery.

Texture-based flow visualisation

Vector fields are often visualised by means of glyphs. Texture-based methods create, in contrast, a dense representation by assigning directional information to each pixel.

Visualisation in special and general relativity

Effects of the theory of relativity are difficult to understand for the layman. Computer simulations with accompanying visualisation can provide intuitive access to those phenomena.