Cmu Brainhub Researchers Use Machine Learning to Count Synapses (IMAGE)

Carnegie Mellon University

Cmu Brainhub Researchers Use Machine Learning to Count Synapses

Caption

This image shows synapses in the somatosensory cortex stained with ethanolic phosphotungstic acid and visualized using electron microscopy. Synapses were identified using a Carnegie Mellon-developed machine learning algorithm that enables a high-throughput analysis of experience-dependent changes in synapse properties across the cortical column. For this image, candidate synapses were selected from electron micrographs and aligned, then pseudocolored for contrast.

Credit

Image credit: Saket Navlakha and Alison Barth; the Journal of Neuroscience.

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Credit: Saket Navlakha and Alison Barth; the Journal of Neuroscience.

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