syGlass: Interactive Exploration of Multidimensional Images Using Virtual Reality Head-mounted Displays
This addresses the problem of data inspection for researchers in biology, offering a novel tool for complex volumetric data, though it is incremental in applying VR to existing visualization needs.
The authors tackled the challenge of visualizing and interacting with large multidimensional biological image datasets by developing syGlass, a software package that uses virtual reality head-mounted displays to enable immersive 3D exploration, tested on datasets up to 16TB.
The quest for deeper understanding of biological systems has driven the acquisition of increasingly larger multidimensional image datasets. Inspecting and manipulating data of this complexity is very challenging in traditional visualization systems. We developed syGlass, a software package capable of visualizing large scale volumetric data with inexpensive virtual reality head-mounted display technology. This allows leveraging stereoscopic vision to significantly improve perception of complex 3D structures, and provides immersive interaction with data directly in 3D. We accomplished this by developing highly optimized data flow and volume rendering pipelines, tested on datasets up to 16TB in size, as well as tools available in a virtual reality GUI to support advanced data exploration, annotation, and cataloguing.