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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
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Reconstruction of genetically identified neurons imaged by serial-section electron microscopy
Maximilian Joesch1,2, David Mankus1,2, Masahito Yamagata1,2
1Center for Brain Science, Harvard University, Cambridge, United States.
Elife
|July 8, 2016
Summary
Researchers developed a faster method for mapping neural circuits by targeting specific neuron types. This technique significantly reduces imaging and reconstruction times, enabling efficient comparison of brain structures across multiple subjects.
Area of Science:
- Neuroscience
- Electron Microscopy
- Circuit Mapping
Background:
- Serial section electron microscopy is the standard for resolving synaptic connectivity.
- Complete neural circuit reconstruction is time-consuming and often unnecessary for comparative studies.
Purpose of the Study:
- To present an alternative strategy for neural circuit analysis: targeted reconstruction of specific neuronal types.
- To develop a method that accelerates data acquisition and reconstruction for comparative neuroscience.
Main Methods:
- Utilized viral vectors to deliver peroxidase derivatives for genetically identifying neurons.
- Developed a protocol to enhance electron-density of labeled cells while preserving ultrastructure.
- Implemented targeted high-resolution reimaging and an unsupervised segmentation algorithm.
Main Results:
- Achieved high contrast labeling of specific neurons.
- Reduced imaging and reconstruction times by two orders of magnitude.
- Enabled faster acquisition of neural circuit data.
Conclusions:
- Targeted reconstruction of specific neuronal types offers a significant speed improvement over complete reconstruction.
- This pipeline facilitates directed inquiry into circuit motifs and comparative analysis of neuronal connectivity.
