IEEE Trans Image Process - A surface-based 3-D dendritic spine detection approach from confocal microscopy images.

Tópicos

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Resumo

Determining the relationship between the dendritic spine morphology and its functional properties is a fundamental challenge in neurobiology research. In particular, how to accurately and automatically analyse meaningful structural information from a large microscopy image data set is far away from being resolved. As pointed out in existing literature, one remaining challenge in spine detection and segmentation is how to automatically separate touching spines. In this paper, based on various global and local geometric features of the dendrite structure, we propose a novel approach to detect and segment neuronal spines, in particular, a breaking-down and stitching-up algorithm to accurately separate touching spines. Extensive performance comparisons show that our approach is more accurate and robust than two state-of-the-art spine detection and segmentation algorithms.

Resumo Limpo

determin relationship dendrit spine morpholog function properti fundament challeng neurobiolog research particular accur automat analys meaning structur inform larg microscopi imag data set far away resolv point exist literatur one remain challeng spine detect segment automat separ touch spine paper base various global local geometr featur dendrit structur propos novel approach detect segment neuron spine particular breakingdown stitchingup algorithm accur separ touch spine extens perform comparison show approach accur robust two stateoftheart spine detect segment algorithm

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