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BrainGazer - Visual Queries for Neurobiology Research

Stefan Bruckner, Veronika Šoltészová, M. Eduard Gröller, Jiří Hladůvka, Katja Bühler and Jai Yu, Barry Dickson

JOURNAL ARTICLE: IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1497–1504, 2009. DOI: 10.1109/TVCG.2009.121

Abstract

Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as the common fruit fly Drosophila melanogaster, have proven to be an important tool in this research. Large databases of transgenic specimens are being built and need to be analyzed to establish models of neural information processing. In this paper we present an approach for the exploration and analysis of neural circuits based on such a database. We have designed and implemented BrainGazer, a system which integrates visualization techniques for volume data acquired through confocal microscopy as well as annotated anatomical structures with an intuitive approach for accessing the available information. We focus on the ability to visually query the data based on semantic as well as spatial relationships. Additionally, we present visualization techniques for the concurrent depiction of neurobiological volume data and geometric objects which aim to reduce visual clutter. The described system is the result of an ongoing interdisciplinary collaboration between neurobiologists and visualization researchers.

Published

IEEE Transactions on Visualization and Computer Graphics

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BibTeX

@ARTICLE{Bruckner-2009-BVQ,
  author = {Stefan Bruckner and Veronika \v{S}olt{\'e}szov{\'a} and M. Eduard
	Gr{\"o}ller and Ji\v{r}{\'i} Hlad\r{u}vka and Katja B{\"u}hler and
	Jai Yu and Barry Dickson},
  title = {BrainGazer - Visual Queries for Neurobiology Research},
  journal = {IEEE Transactions on Visualization and Computer Graphics},
  year = {2009},
  volume = {15},
  pages = {1497--1504},
  number = {6},
  month = nov,
  abstract = {Neurobiology investigates how anatomical and physiological relationships
	in the nervous system mediate behavior. Molecular genetic techniques,
	applied to species such as the common fruit fly Drosophila melanogaster,
	have proven to be an important tool in this research. Large databases
	of transgenic specimens are being built and need to be analyzed to
	establish models of neural information processing. In this paper
	we present an approach for the exploration and analysis of neural
	circuits based on such a database. We have designed and implemented
	BrainGazer, a system which integrates visualization techniques for
	volume data acquired through confocal microscopy as well as annotated
	anatomical structures with an intuitive approach for accessing the
	available information. We focus on the ability to visually query
	the data based on semantic as well as spatial relationships. Additionally,
	we present visualization techniques for the concurrent depiction
	of neurobiological volume data and geometric objects which aim to
	reduce visual clutter. The described system is the result of an ongoing
	interdisciplinary collaboration between neurobiologists and visualization
	researchers.},
  doi = {10.1109/TVCG.2009.121},
  event = {IEEE Visualization 2009},
  keywords = {biomedical visualization, neurobiology, visual queries, volume visualization},
  location = {Atlantic City, New Jersey, USA},
  url = {http://www.cg.tuwien.ac.at/research/publications/2009/bruckner-2009-BVQ/}
}






 Last Modified: Stefan Bruckner, 2014-09-22