Linked Life Data

18244675

Source:http://linkedlifedata.com/resource/pubmed/id/18244675

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-2-4
pubmed:abstractText
In this work, we focus on methods for the preprocessing of neurons from three-dimensional (3-D) confocal microscopy images, which are needed for a subsequent detailed morphologic analysis. Due to the specific image properties of confocal microscopy scans, we had to include several heuristic approaches which are based on multiscale edges to guarantee meaningful results: (1) a reliable segmentation of objects of different sizes independent of image contrast, and, based on it, (2) the computation of skeleton points along the branch central axes, and (3) the reliable detection of branching points and of problematic regions. These are preprocessing steps to gather information which is needed by the subsequent construction of a graph representing the geometry of the neuron and a final surface reconstruction.
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1057-7149
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
790-801
pubmed:year
2002
pubmed:articleTitle
Automatic segmentation and skeletonization of neurons from confocal microscopy images based on the 3-D wavelet transform.
pubmed:affiliation
Technische Universität Berlin, D-10587 Berlin, Germany. anca@cs.tu-berlin.de
pubmed:publicationType
Journal Article