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Evaluate recent breakthroughs and persistent challenges in high-throughput volume electron microscopy for the complete reconstruction of vertebrate neural circuits.

May 11, 2018Current Opinion in NeurobiologyOpen Access

Progress and remaining challenges in high-throughput volume electron microscopy

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Evaluate recent breakthroughs and persistent challenges in high-throughput volume electron microscopy for the complete reconstruction of vertebrate neural circuits.
Reviewed progress in volume electron microscopy dataset acquisition, sample preparation, and image resolution.
Evaluated computational segmentation pipelines relying on convolutional neural network architectures for automated circuit extraction.
Assessed tissue-handling methodologies including hot-knife partitioning, ion milling, and multi-beam scanning electron microscopy.
Convolutional neural networks have markedly accelerated the automated extraction and segmentation of complex neural circuits from large datasets.
Integration of hot-knife sample partitioning with ion milling provides an effective strategy for sectioning and imaging larger tissue volumes.
Multi-beam scanning electron microscopy substantially increases acquisition speed, addressing the primary bottleneck preventing whole mammalian brain reconstruction within the coming decade.

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Implication

Technological review demonstrates advances in volume electron microscopy for adult vertebrate brains, indicating whole-brain neural circuit reconstruction may be achievable within a decade.

Cite This Study

Kornfeld et al. (2018) studied this question.

synapsesocial.com/papers/6a8a8f3f51cd0cd12ac1592b https://doi.org/10.1016/j.conb.2018.04.030

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Implication

Technological review demonstrates advances in volume electron microscopy for adult vertebrate brains, indicating whole-brain neural circuit reconstruction may be achievable within a decade.

Progress and remaining challenges in high-throughput volume electron microscopy

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Discussion

Implication

Cite This Study

Progress and remaining challenges in high-throughput volume electron microscopy

Key Points

Discussion

Implication

Cite This Study