English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  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.

Item is

Files

show Files
hide Files
:
JNeurosciMeth_169_2008_43.pdf (Any fulltext), 2MB
 
File Permalink:
-
Name:
JNeurosciMeth_169_2008_43.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Medical Research, MHMF; )
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Creators

show
hide
 Creators:
Broser, Philip Julian1, Author           
Erdogan, Sezgin1, Author           
Grinevich, Valery2, Author           
Osten, Pavel2, Author           
Sakmann, Bert1, Author           
Haydon-Wallace, Damian J., Author
Affiliations:
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              

Content

show
hide
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.

Details

show
hide
Language(s): eng - English
 Dates: 2007-06-182007-11-212007-12-082008-03-30
 Publication Status: Issued
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

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