A Virtual Reality Visualization Tool for Neuron Tracing

Will Usher, Pavol Klacansky, Frederick Federer, Peer-Timo Bremer, Aaron Knoll, Jeff Yarch, Alessandra Angelucci, and Valerio Pascucci

In IEEE Transactions on Visualization and Computer Graphics, 2018
Fig. 1: A screenshot of our VR neuron tracing tool using the isosurface rendering mode. The dark gray floor represents the extent of the tracked space. Users can orient themselves in the dataset via the minimap (right), which shows the world extent in blue, the current focus region in orange, and the previously traced neuronal structures. The focus region is displayed in the center of the space. The 3D interaction and visualization provides an intuitive environment for exploring the data and a natural interface for neuron tracing, resulting in faster, high-quality traces with less fatigue reported by users compared to existing 2D tools.

Abstract

Tracing neurons in large-scale microscopy data is crucial to establishing a wiring diagram of the brain, which is needed to understand how neural circuits in the brain process information and generate behavior. Automatic techniques often fail for large and complex datasets, and connectomics researchers may spend weeks or months manually tracing neurons using 2D image stacks. We present a design study of a new virtual reality (VR) system, developed in collaboration with trained neuroanatomists, to trace neurons in microscope scans of the visual cortex of primates. We hypothesize that using consumer-grade VR technology to interact with neurons directly in 3D will help neuroscientists better resolve complex cases and enable them to trace neurons faster and with less physical and mental strain. We discuss both the design process and technical challenges in developing an interactive system to navigate and manipulate terabyte-sized image volumes in VR. Using a number of different datasets, we demonstrate that, compared to widely used commercial software, consumer-grade VR presents a promising alternative for scientists.

Supplemental Video

Presentation Video

BibTeX

@article{Usher_VRNT_2018,
author={W. Usher and P. Klacansky and F. Federer and P. T. Bremer and A. Knoll and J. Yarch and A. Angelucci and V. Pascucci},
journal={{IEEE} {Transactions} on {Visualization} and {Computer} {Graphics}},
title={A {Virtual} {Reality} {Visualization} {Tool} for {Neuron} {Tracing}},
year={2018},
volume={24},
number={1},
pages={994-1003},
doi={10.1109/TVCG.2017.2744079},
ISSN={1077-2626},
month={Jan},
}