Name
Title | ||
|---|---|---|
Geometrical Modeling and Visualization of Pre- and Post-Synaptic Structures in Double-Labeled Confocal Images |
Abstract | ||
|---|---|---|
3-D volume samples of selected dendritic segments are scanned by a confocal laser-scanning microscope to investigate the impact of alterations in the shape of dendritic spines for their synaptic functioning. Double-labeling techniques using green fluorescent protein-labeled neurons and synaptophysin-labeled presynaptic terminals allow us to capture images of dendrites and spines in one image channel and the presynaptic boutons in a second image channel. To detect spines and to reconstruct spine shape a parametric model is fitted in the noisy confocal image. Starting with the geometrical model of the spine head, voxels in the second image channel are labeled by a distance map to detect possible associated presynaptic terminals. This method enables a flexible visualization of geometrical models of spines and dendrites together with selected presynapses and an adjustable, distance-dependent quantification of boutons. These functional features are combined with morphological features from the geometrical model for every spine and establish a basis for advanced statistical analysis of the underlying learning processes in brain. The cellular events of changes in spine morphology can be studied in relation to functional properties. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/MEDIVIS.2006.12 | MediVis |
Keywords | Field | DocType |
post-synaptic structures,parametric model,double-labeled confocal images,dendritic spine,possible associated presynaptic terminal,spine head,spine morphology,geometrical modeling,presynaptic boutons,geometrical model,synaptophysin-labeled presynaptic terminal,image channel,noisy confocal image,proteins,microscopy,shape,statistical analysis,green fluorescent protein,solid modeling,image reconstruction,geometric model,fluorescence,visualization,image segmentation | Iterative reconstruction,Voxel,Computer vision,Dendritic spine,Pattern recognition,Visualization,Image segmentation,Microscope,Distance transform,Artificial intelligence,Confocal,Materials science | Conference |
ISBN | Citations | PageRank |
0-7695-2603-9 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Herzog | 1 | 0 | 0.34 |
| G. Krell | 2 | 0 | 0.68 |
| B. Michaelis | 3 | 29 | 6.01 |
| S. Westerholz | 4 | 2 | 0.91 |
| C. Helmeke | 5 | 0 | 0.68 |
| Katharina Braun | 6 | 10 | 8.12 |