English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  A computerized image analysis system for quantitative analysis of cells in histological brain sections

Benali, A., Leefken, I., Eysel, U., & Weiler, E. (2003). A computerized image analysis system for quantitative analysis of cells in histological brain sections. Journal of Neuroscience Methods, 125(1-2), 33-43. doi:10.1016/S0165-0270(03)00023-2.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-6A98-9 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-6A99-8
Genre: Journal Article

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Benali, A, Author
Leefken, I, Author
Eysel, UT, Author
Weiler, E1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We propose a reliable method for automatic counting of cells in brain sections labeled with different antibodies (against NeuN, parvalbumin, GABA and c-Fos) and in Nissl-staining. Images of stained sections are converted to binary images by thresholding. Clusters of ‘ON pixels’ (value of 1) corresponding to cell bodies are selected based on size. The parameters of the algorithm (intensity range and cluster-size) are adjusted for different methods of staining according to expert knowledge. The automatic cell counting method (ACCM) provides correct counting results, as demonstrated by a comparison of computational results with counts gained by human experimenters and with a commercially available image analysis system. On the basis of ACCM counts, small and perhaps physiologically relevant differences in the number of labeled cells can be revealed, as demonstrated here for the GABAergic system following electrical stimulation.

Details

show
hide
Language(s):
 Dates: 2003-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/S0165-0270(03)00023-2
 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: 125 (1-2) Sequence Number: - Start / End Page: 33 - 43 Identifier: ISSN: 0165-0270
CoNE: https://pure.mpg.de/cone/journals/resource/954925480594