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High-Precision Automated Reconstruction of Neurons with Flood-filling Networks

Michał Januszewski, Jörgen Kornfeld, Peter H Li, Art Pope, Tim Blakely, Larry Lindsey, Jeremy B Maitin-Shepard, Mike Tyka, Winfried Denk, Viren Jain
doi: https://doi.org/10.1101/200675
Michał Januszewski
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Jörgen Kornfeld
Max Planck Institute of Neurobiology
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Peter H Li
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Art Pope
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Tim Blakely
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Larry Lindsey
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Jeremy B Maitin-Shepard
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Mike Tyka
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Winfried Denk
Max Planck Institute of Neurobiology
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Viren Jain
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  • For correspondence: viren@google.com
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Abstract

Reconstruction of neural circuits from volume electron microscopy data requires the tracing of complete cells including all their neurites. Automated approaches have been developed to perform the tracing, but without costly human proofreading their error rates are too high to obtain reliable circuit diagrams. We present a method for automated segmentation that, like the majority of previous efforts, employs convolutional neural networks, but contains in addition a recurrent pathway that allows the iterative optimization and extension of the reconstructed shape of individual neural processes. We used this technique, which we call flood-filling networks, to trace neurons in a data set obtained by serial block-face electron microscopy from a male zebra finch brain. Our method achieved a mean error-free neurite path length of 1.1 mm, an order of magnitude better than previously published approaches applied to the same dataset. Only 4 mergers were observed in a neurite test set of 97 mm path length.

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The copyright holder for this preprint is the author/funder. It is made available under a CC-BY-NC-ND 4.0 International license.
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  • Posted October 9, 2017.

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High-Precision Automated Reconstruction of Neurons with Flood-filling Networks
Michał Januszewski, Jörgen Kornfeld, Peter H Li, Art Pope, Tim Blakely, Larry Lindsey, Jeremy B Maitin-Shepard, Mike Tyka, Winfried Denk, Viren Jain
bioRxiv 200675; doi: https://doi.org/10.1101/200675
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High-Precision Automated Reconstruction of Neurons with Flood-filling Networks
Michał Januszewski, Jörgen Kornfeld, Peter H Li, Art Pope, Tim Blakely, Larry Lindsey, Jeremy B Maitin-Shepard, Mike Tyka, Winfried Denk, Viren Jain
bioRxiv 200675; doi: https://doi.org/10.1101/200675

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