Classification and Uncertainty Visualization of Dendritic Spines from Optical Microscopy Imaging

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dc.contributor.authorJanoos, Firdausen_US
dc.contributor.authorNouansengsy, Boonthanomeen_US
dc.contributor.authorXu, Xiaoyinen_US
dc.contributor.authorMachiraju, Raghuen_US
dc.contributor.authorWong, Stephen T. C.en_US
dc.contributor.editorA. Vilanova, A. Telea, G. Scheuermann, and T. Moelleren_US
dc.date.accessioned2014-02-21T18:45:10Z
dc.date.available2014-02-21T18:45:10Z
dc.date.issued2008en_US
dc.description.abstractAbstract Neuronal dendrites and their spines affect the connectivity of neural networks, and play a significant role in many neurological conditions. Neuronal function is observed to be closely correlated with the appearance, disappearance and morphology of the spines. Automatic 3-D reconstruction of neurons from light microscopy images, followed by the identification, classification and visualization of dendritic spines is therefore essential for studying neuronal physiology and biophysical properties. In this paper, we present a method to reconstruct dendrites using a surface representation of the dendrite. The 1-D skeleton of the dendritic surface is then extracted by a medial geodesic function that is robust and topologically correct. This is followed by a Bayesian identification and classification of the spines. The dendrite and spines are visualized in a manner that displays the spines' types and the inherent uncertainty in identification and classification. We also describe a user study conducted to validate the accuracy of the classification and the efficacy of the visualization.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01220.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01220.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleClassification and Uncertainty Visualization of Dendritic Spines from Optical Microscopy Imagingen_US
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27-Issue 3
EuroVis08: Joint Eurographics - IEEE VGTC Symposium on Visualization