Analyzing neurite outgrowth from explants by fitting ellipses

Haines, Carmen and Goodhill, Geoffrey J. (2010) Analyzing neurite outgrowth from explants by fitting ellipses. Journal of Neuroscience Methods, 187 1: 52-58. doi:10.1016/j.jneumeth.2009.12.010


Author Haines, Carmen
Goodhill, Geoffrey J.
Title Analyzing neurite outgrowth from explants by fitting ellipses
Journal name Journal of Neuroscience Methods   Check publisher's open access policy
ISSN 0165-0270
1872-678X
Publication date 2010-03
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.jneumeth.2009.12.010
Volume 187
Issue 1
Start page 52
End page 58
Total pages 7
Editor Gerhardt, G. A.
Crunelli, V.
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Collection year 2011
Language eng
Subject C1
110903 Central Nervous System
920111 Nervous System and Disorders
Formatted abstract
The establishment of appropriate connectivity in the developing nervous system depends onmanymolecular
guidance cues. A key method for studying the response of nerve fibers to such guidance cues is to
culture explants of neural tissue in three-dimensional collagen gels. However, most previous analyses
of the neurite outgrowth patterns from these explants have been very simple, often measuring only
one or two parameters. Here we introduce a more sophisticated method for characterizing neurite outgrowth
from explants, based on fitting an ellipse to the pattern of outgrowth. This provides 5 parameters
describing the outgrowth: x and y position of the center of the ellipse, the elongation, the area and the
tilt. We then apply this method to a large dataset of dorsal root ganglion explants grown in the presence
of precisely controlled gradients of nerve growth factor. This analysis reveals a number of new features
of these data. For instance, we find that it is the position of the center of the ellipse rather than the shape
of the ellipse that is correlated with the strength of the gradient. Together these results show that ellipsefitting
of explant data can give new insights into the biological processes underlying neurite guidance by
molecular cues.
© 2009 Elsevier B.V. All rights reserved.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 28 December 2009.

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
2010 Higher Education Research Data Collection
Queensland Brain Institute Publications
 
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Created: Thu, 21 Jan 2010, 15:21:56 EST by Debra McMurtrie on behalf of Queensland Brain Institute