Paper Info
Title
Detection of presynaptic terminals on dendritic spines in double labeling confocal images
Abstract
For the analysis of learning processes and the underlying changes of the shape of excitatory synapses (spines), 3-D volume samples of selected dendritic segments are scanned by a confocal laser scanning microscope. The images are unsharp because of the (direction dependent) resolution limit. A deconvolution on image data is not sufficient for the resolution needed. Therefore a parametric model is used to reconstruct the dendrite and the spines. The parameter estimation of model is done in a two step approach. First, rough center axes of dendrite and spines are found by a growing model which can be adjusted interactively. In a second step the model parameters are optimized during an iterative process. To estimate the deviation between the microscope image and the model, the model is sampled with the same resolution as the microscope image and convolved by the microscope point spread function (psf). The result is a accurate model of dendrite and spines. The model fitting process is comparable with a deconvolution but with a limited number of model parameters and stable results without strong distortions by PSF. The associated presynaptic terminal can be detected in a second image channel inside a region of interest (roi) on spine position. Morphological features of spines from geometrical model and from second channel roi are combined for statistical analysis.
Year
DOI
Venue
2006
10.1109/ICPR.2006.442
ICPR (4)
Keywords
DocType
ISSN
accurate model,microscope point spread function,image data,resolution limit,parametric model,model fitting process,confocal image,geometrical model,dendritic spine,image channel,model parameter,presynaptic terminal,microscope image,point spread function,mathematical morphology,image resolution,statistical analysis,image reconstruction,iterative methods,optical transfer function,optical microscopy,geometric model,neurophysiology,dendritic spines,feature extraction,parameter estimation,region of interest,iterative process
Conference
1051-4651
ISBN
Citations 
PageRank 
0-7695-2521-0
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Andreas Herzog1162.17
Robert Niese210512.09
Gerald Krell313625.41
Bernd Michaelis445877.12
Wladimir Ovtscharoff500.68
Katharina Braun6108.12