Fast extraction of neuron morphologies from large-scale SBFSEM image stacks. ... Here we present NeuroStruct, a reconstruction environment developed for fast and automated analysis of large SBFSEM data sets containing individual stained neurons using optimized algorithms for CPU and GPU hardware. NeuroStruct is based on 3D operators and integrates image information from image stacks of individual neurons filled with biocytin and stained with osmium tetroxide. The focus of the presented work is the reconstruction of dendritic branches with detailed representation of spines. NeuroStruct delivers both a 3D surface model of the reconstructed structures and a 1D geometrical model corresponding to the skeleton of the reconstructed structures. Both representations are a prerequisite for analysis of morphological characteristics and simulation signalling within a neuron that capture the influence of spines.
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References in zbMATH (referenced in 1 article , 1 standard article )
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- Lang, Stefan; Drouvelis, Panos; Tafaj, Enkelejda; Bastian, Peter; Sakmann, Bert: Fast extraction of neuron morphologies from large-scale SBFSEM image stacks (2011)