Chris Havlin, Visiting Research Scientist, School of Information Sciences
Napari is a popular open source multidimensional image-viewer Python
package for the interactive visualization and analysis of a wide range
of image formats. Originally developed within the bio-imaging community,
napari has become more of a general purpose visualization tool in large
part thanks to its easily extensible plugin framework. In this
presentation I'll describe my efforts to build on recent developmental
support in napari for dynamic, on-demand loading of multi-dimensional
image subsets in order to provide a platform for the interactive
visualization and analysis of HPC-scale, variable resolution simulation
data.