| Summary: | The user can combine the visualisation methods, annotations, and camera motion paths in a scheduled tour that can be shared by a custom URL or QR code generated directly in the browser interface. Panels (a)-(d) demonstrate use cases for real-world datasets with different characteristics and dimensionality. (a) Ant trails (2D+t) from [ 18 ]. Bundling and colour-coding (spatial orientation by mapping (x,y,z) to (R,G,B) values) indicate the major trails running in opposing directions. (b) GPS Animal tracking data for two species (blue whales [ 19 ]—blue and arctic tern [ 20 ]—red) shown on a Mercator projection of the earth’s surface. For a better orientation, the outline of the continents is included as axes into the visualisation that dynamically adapt to the projections and viewpoint changes (2D surface data + t). (c) Brain tractography data showing major white matter connectivity from diffusion MRI (3D). The spatial selection highlights the left hemisphere, while anatomical context is provided by the outline of the entire brain (from mesh data) and the defocused tracts of the right hemisphere. (d) Cell movements during the elongation process of zebrafish blastoderm explants (3D+t) [ 21 ]. Bundling, colour coding, and spatial selection highlight collective cell movements as the explant starts elongating, focusing on a subpopulation of cells driving this process. The colour code shows time from early (yellow) to late (red) for selected tracks.
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