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  Automated axon length quantification for populations of labelled neurons

Broser, P. J., Erdogan, S., Grinevich, V., Osten, P., Sakmann, B., & Haydon-Wallace, D. J. (2008). Automated axon length quantification for populations of labelled neurons. Journal of Neuroscience Methods, 169(1), 43-54. doi:10.1016/j.jneumeth.2007.11.027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-00B9-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-DBB7-B
Genre: Journal Article

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JNeurosciMeth_169_2008_43.pdf (Any fulltext), 2MB
 
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 Creators:
Broser, Philip Julian1, Author              
Erdogan, Sezgin1, Author              
Grinevich, Valery2, Author              
Osten, Pavel2, Author              
Sakmann, Bert1, Author              
Haydon-Wallace, Damian J., Author
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1Department of Cell Physiology, Max Planck Institute for Medical Research, Max Planck Society, ou_1497701              
2Department of Molecular Neurobiology, Max Planck Institute for Medical Research, Max Planck Society, ou_1497704              

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Free keywords: Quantitative morphology; Axon tracing; Local metrics; Digital image processing; Lentivirus; Bright field microscopy
 Abstract: Virus-based methods for labelling populations of cortical neurons, when combined with cell-type specific recombinant promoters and techniques allowing temporal control of gene expression, provide neuroscience with new opportunities to examine the connectivity between brain regions and how this connectivity is modified by experience or disease. However, to take full advantage of these technical advances, it is necessary to develop new methods for quantification of the axonal projections revealed. Here we describe a method for quantitative analysis of axonal projection patterns emanating from populations of labelled cells, using transmitted light bright field microscopy. A single high resolution image of an area to be analysed is first acquired using mosaic extended focus image microscopy. This image is then analysed by specifically developed image processing algorithms that identify and track axon segments present. For quantitative analysis, measurement grids consisting of a user-defined number of individual elements are placed over an area of interest, with the computer-based method then returning the summed length of the axon segments in each element. Axon density plots can thus be generated. We present an example from rat brain showing, over a whole coronal section, axon densities emanating from a population of layer 2/3 somatosensory neurons.

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Language(s): eng - English
 Dates: 2007-06-182007-11-212007-12-082008-03-30
 Publication Status: Published in print
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Degree: -

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Title: Journal of Neuroscience Methods
  Other : J. Neurosci. Meth.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 169 (1) Sequence Number: - Start / End Page: 43 - 54 Identifier: ISSN: 0165-0270
CoNE: /journals/resource/954925480594