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Building an automated three-dimensional flight agent for neural network reconstruction

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RoboEM, an artificial intelligence (AI)-based flight agent, automatically steers through three-dimensional electron microscopy (3D-EM) images of brain tissue to follow neurites. RoboEM substantially improves state-of-the-art automated reconstructions, eliminating manual proofreading needs in complex connectomic analysis problems and paving the way for high-throughput, cost-effective, large-scale mapping of neuronal networks — connectomes.

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Fig. 1: RoboEM replaces human proofreading by emulating the flight along axons.

References

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This is a summary of: Schmidt, M., Motta, A., Sievers, M. & Helmstaedter, M. RoboEM: automated 3D flight tracing for synaptic-resolution connectomics. Nat. Methods https://doi.org/10.1038/s41592-024-02226-5 (2024).

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Building an automated three-dimensional flight agent for neural network reconstruction. Nat Methods 21, 764–765 (2024). https://doi.org/10.1038/s41592-024-02227-4

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