J. Beyer, A. Al-Awami, N. Kasthuri, J. Lichtman, H. Pfister, M. Hadwiger
IEEE transactions on visualization and computer graphics, 19(12), pp. 2868-2877, (2013)
Connectomics, Neuroscience, Query algebra, Visual knowledge discovery, Petascale volume analysis
This paper presents ConnectomeExplorer, an application for the
interactive exploration and query-guided visual analysis of large
volumetric electron microscopy (EM) data sets in connectomics research.
Our system incorporates a knowledge-based query algebra that supports
the interactive specification of dynamically evaluated queries, which
enable neuroscientists to pose and answer domain-specific questions in
an intuitive manner. Queries are built step by step in a visual query
builder, building more complex queries from combinations of simpler
queries. Our application is based on a scalable volume visualization
framework that scales to multiple volumes of several teravoxels each,
enabling the concurrent visualization and querying of the original EM
volume, additional segmentation volumes, neuronal connectivity, and
additional meta data comprising a variety of neuronal data attributes.
We evaluate our application on a data set of roughly one terabyte of EM
data and 750 GB of segmentation data, containing over 4,000 segmented
structures and 1,000 synapses. We demonstrate typical use-case scenarios
of our collaborators in neuroscience, where our system has enabled them
to answer specific scientific questions using interactive querying and
analysis on the full-size data for the first time.