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JoVE Journal
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 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.

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Large-scale Reconstructions Independent Clustering Morphological Metrics Classify Neurons Selective Populations Virus-labeled Neurons Neuroanatomical Data Unbiased Classification Neuronal Subclasses Large-scale Analysis Morphological Reconstructions Well Isolated Neurons Z-depth Aligning Arbors Brain Tissue Section Primate Stereotaxically Injected Modified Rabies Virus EGFP
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