Visualization workflows and the applications used depend on the type of data being analyzed. Data having inherent spatial context, like flow in a channel or molecular interaction, is visualized using methods of scientific visualization, by mapping data to geometry. Typical applications for the job are ParaView and VMD. Abstract, statistical data is visualized using methods of data visualization, typically using R or Python and illustrated with graphs.

CSC's application specialists can help with the visualization software available on CSC computers. Check out also our tutorial series for using Blender software.

CSC's data analysis specialists can also help researchers in visualizing abstract, statistical data using tools such as R and ggplot2.

Typical challenges in scientific visualization include importing non-standard data into visualization applications, filtering unnecessary data, shortening I/O times, managing large data sets, running visualization as parallel process utilizing many cores or graphics cards, and fine tuning the final visualization for maximal impact.

The best way to reach all our specialists is by regular user support requests via CSC Service Desk.


Ion channel

PLoS Computation Biology 2/2009 cover picture. Conformational Changes and Slow Dynamics through Microsecond Polarized Atomistic Molecular Simulation of an Integral Kv1.2 Ion Channel. Bjelkmar, Niemelä, Vattulainen, Lindahl / Stockholm University, VTT, TKK, Stockholm University.


Gold collision

Gold-atom clusters colliding with the surface of a gold substrate and forming craters. Grand Challenge project, Samela, Nordlund / University of Helsinki. Awarded in the scientific image competition of the Tiede magazine Oct. 5, 2010.


Phys. Chem. Chem. Phys., 2011, vol 13, number 13 cover picture. Calculation of Isotropic Compton profiles with Gaussian basis sets. Lehtola, Hakala, Vaara, Hämäläinen / University of Helsinki, University of Oulu.


Carbon Rings

Phys. Chem. Chem. Phys., 2009, vol 11, number 48 cover picture. NMR tensors in planar hydrocarbons of increasing size. Ikäläinen, Lantto, Manninen, Vaara / University of Helsinki, University of Oulu, CSC.

Fusion Reactor

SimITER project home page logo, illustrating plasma-wall interaction in a fusion reactor.