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Neuroscience

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
 

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Article DOI: 10.3791/55133-v 12:27 min February 15th, 2017
February 15th, 2017

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Summary

This protocol describes large-scale reconstructions of selective neuronal populations, labeled following retrograde infection with a modified rabies virus expressing fluorescent markers, and independent, unbiased cluster analyses that enable comprehensive characterization of morphological metrics among distinct neuronal subclasses.

Tags

Keywords: Neuron Reconstruction Morphological Metrics Unbiased Clustering Neuroanatomical Data Analysis EGFP-labeled Neurons Primate Brain Tissue Dendritic Arborization Neuronal Subclasses
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