Exploring Time-dependent Scientific Data Using Spatially Aware Mobiles and Large Displays

Scientific Visualization is generally based on very large and often high-dimensional data sets. In many cases (e.g., in the biomedical domain), high-resolution 3D data that changes over time and multiple data sets are involved. One important task in making sense of this data is finding interesting 2D views in the 3D space and additionally finding ways to handle changes over time. We explore how the combination of spatially aware mobiles and large displays can be used in this context. Specifically, we contribute both a precise selection technique for 2D cross sections and a concept for time-dependent 4D bookmarks that follow a point of interest over time. We implemented these techniques in a prototype application that visualizes biological Light Sheet Fluorescence Microscopy data and report on initial user feedback.