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JoVE Journal
Neuroscience
Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software
JoVE Journal
Neuroscience
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JoVE Journal Neuroscience
Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Dendritic Spine Quantification Using an Automatic Three-Dimensional Neuron Reconstruction Software

Full Text
2,785 Views
07:45 min
September 27, 2024

DOI: 10.3791/66493-v

Kevin M. Keary III1, Ellen Sojka1,2, Melissa Gonzalez1,2, Zheng Li1

1Section on Synapse Development Plasticity, National Institute of Mental Health,National Institutes of Health, 2Colgate University

Dendritic spines are post-synaptic compartments of most excitatory synapses. Alterations to dendritic spine morphology occur during neurodevelopment, aging, learning, and many neurological and psychiatric disorders, underscoring the importance of reliable dendritic spine analysis. This protocol describes quantifying dendritic spine morphology accurately and reproducibly using automatic three-dimensional neuron reconstruction software.

The scope of our research is to examine the structural profile of dendritic spines in the hippocampus, specifically the CA-one apical dendrite. Through this, we're trying to answer questions centered around how different inputs to different parts of the same dendrite can be encoded at the cellular level. One challenge is obtaining high resolution images of dendritic spines for spine analysis.

Once you have these images, the method to most accurately and reliably analyze spines in a fashion that isn't overly burdensome for the researcher presents an additional challenge. A balance must be struck between the two components. This protocol offers a happy medium between fully manual and fully automated dendritic spine analysis.

Our protocol reduces the burden of manually counting individual spines. Additionally, the 3D reconstruction makes it possible to obtain spine volume. Classify the spines at the subtypes automatically.

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