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LICONN Revolutionizes Brain Mapping with Synaptic-Resolution Light Microscopy

Published in Nature, LICONN offers a scalable, AI-driven pipeline for reconstructing neural circuits using standard light microscopes and hydrogel expansion.

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Overview

  • LICONN is the first light-microscopy method capable of reconstructing brain tissue with complete synaptic connectivity, previously achievable only through electron microscopy.
  • The technique combines hydrogel expansion, which enhances resolution to better than 20 nm, with multicolor imaging on standard off-the-shelf microscopes.
  • Deep-learning algorithms developed by Google Research automate neuron segmentation and connectivity mapping, making large-scale reconstructions feasible.
  • The method also enables the mapping of specific molecules involved in synaptic transmission onto neuronal networks, enriching the structural reconstructions.
  • LICONN's accessibility and reproducibility mark a significant step toward democratizing high-resolution connectomics globally, aligning with the goals of the U.S. BRAIN Initiative.