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Titel:

Automated three-dimensional detection and counting of neuron somata.

Dokumenttyp:
Journal Article
Autor(en):
Oberlaender, M; Dercksen, VJ; Egger, R; Gensel, M; Sakmann, B; Hege, HC
Abstract:
We present a novel approach for automated detection of neuron somata. A three-step processing pipeline is described on the example of confocal image stacks of NeuN-stained neurons from rat somato-sensory cortex. It results in a set of position landmarks, representing the midpoints of all neuron somata. In the first step, foreground and background pixels are identified, resulting in a binary image. It is based on local thresholding and compensates for imaging and staining artifacts. Once this pre...     »
Zeitschriftentitel:
J Neurosci Methods
Jahr:
2009
Band / Volume:
180
Heft / Issue:
1
Seitenangaben Beitrag:
147-60
Sprache:
eng
Volltext / DOI:
doi:10.1016/j.jneumeth.2009.03.008
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/19427542
Print-ISSN:
0165-0270
TUM Einrichtung:
Institut für Neurowissenschaften
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