NDLI: ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data

Content Provider	IEEE Xplore Digital Library
Author	Beyer, J. Al-Awami, A. Kasthuri, N. Lichtman, J.W. Pfister, H. Hadwiger, M.
Copyright Year	1995
Abstract	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.
Sponsorship	IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society
Page Count	10
File Size	9536196
Starting Page	2868
Ending Page	2877
File Format	PDF
ISSN	10772626
Volume Number	19
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Nerve fibers Data visualization Neuroscience Three-dimensional displays Query processing visual knowledge discovery petascale volume analysis Connectomics neuroscience query algebra
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software

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