Abstract:
Neurobiology investigates how anatomical and physiological relationships in the nervous system mediate behavior. Molecular genetic techniques, applied to species such as ...Show MoreMetadata
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 \emph{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 in: IEEE Transactions on Visualization and Computer Graphics ( Volume: 15, Issue: 6, Nov.-Dec. 2009)
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1.
A. Martin and M. Ward, In Proceedings of IEEE Visualization , 1995.
2.
N. L. Max, In Proceedings of ACM SIGGRAPH , 1976.
3.
A. Maye, T. H. Wenckebach and H.-C. Hege, International Journal of Neuroscience, vol. 116, no. 4, pp. 431-459, 2006.
4.
S. Oeltze and B. Preim, IEEE Transactions on Medical Imaging, vol. 24, no. 4, pp. 540-548, 2005.
5.
S. R. Olsen and R. I. Wilson, Trends in Neuro-sciences, vol. 31, no. 10, pp. 512-520, 2008.
6.
W. Pereanu and V Hartenstein, The Journal of Neuroscience, vol. 26, no. 20, pp. 5534-5553, 2006.
7.
W. A. Press, B. A. Olshausen and D. C. V Essen, Philosophical Transactions of the Royal Society, vol. 356, pp. 1147-1157, 2001.
8.
T. Rohlfing and J. C. R. Maurer, IEEE Transactions on Information Technology in Biomedicine, vol. 7, pp. 16-25, 2003.
9.
C. Ahlberg, C. Williamson and B. Shneiderman, In Proceedings of ACM CHI, 1992.
10.
11.
R. S. Avila, L. M. Sobierajski and A. E. Kaufman, Visualizing nerve cells., vol. 14, no. 5, pp. 11-13, 1994.
12.
L. Bertrand and J. Nissanov, Frontiers in Neuroinformatics, pp. 2, 2008.
13.
G. Bezgin, A. Reid, D. Schubert and R. Ktter, Neuroinformatics, vol. 7, pp. 7-22, 2009.
15.
A. H. Brand and N. Perrimon, Development, vol. 118, no. 2, pp. 401-415, 1993.
16.
S. Bruckner and M. E. Grller, Computer Graphics Forum, vol. 28, no. 3, pp. 775-782, 2009.
17.
G. A. Burns, W.-C. Cheng, R. H. Thompson and L. W. Swanson, BMC Bioinformatics, vol. 7, pp. 531-549, 2006.
18.
W. Cai and G. Sakas, Computer Graphics Forum, vol. 18, no. 3, pp. 359-368, 1999.
20.
P. de Heras Ciechomski, R. Mange and A. Peternier, In Proceedings of International Conference on Innovations in Information Technology 2008 , 2008.
21.
W. de Leeuw, P. J. Verschure and R. van Liere, IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1251-1258, 2006.
22.
M. Derthick, J. Kolojejchick and S. F. Roth, In Proceedings of ACM VIST, 1997.
24.
25.
J. Fredriksson, In Proceedings of IEEE International Conference on Multimedia Computing and Systems , vol. 1, 1999.
26.
V Gaede and O. Gnther, ACM Computing Surveys, vol. 30, no. 2, pp. 170-231, 1998.
28.
H. Hauser, L. Mroz, G.-I. Bischi and M. E. Grller, IEEE Transactions on Visualization and Computer Graphics, vol. 7, no. 3, pp. 242-252, 2001.
30.
A. Jenett, J. E. Schindelin and M. Heisenberg, BMC Bioinformatics, vol. 7, no. 1, pp. 544-555, 2006.