BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

HC Peng; M Hawrylycz; J Roskams; S Hill; N Spruston; Erik Meijering; GA Ascoli

doi:10.1016/j.neuron.2015.06.036

BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

HC Peng, M Hawrylycz, J Roskams, S Hill, N Spruston, Erik Meijering, GA Ascoli

Radiology & Nuclear Medicine

Research output: Contribution to journal › Article › Academic › peer-review

152 Citations (Scopus)

Abstract

Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely recognized need for openness and standardization to provide a community resource for automated reconstruction of dendritic and axonal morphology of single neurons.

Original language	Undefined/Unknown
Pages (from-to)	252-256
Number of pages	5
Journal	Neuron
Volume	87
Issue number	2
DOIs	https://doi.org/10.1016/j.neuron.2015.06.036
Publication status	Published - 2015

Access to Document

10.1016/j.neuron.2015.06.036

http://hdl.handle.net/1765/81742

Cite this

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title = "BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images",

abstract = "Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely recognized need for openness and standardization to provide a community resource for automated reconstruction of dendritic and axonal morphology of single neurons.",

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AU - Meijering, Erik

AU - Ascoli, GA

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AB - Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely recognized need for openness and standardization to provide a community resource for automated reconstruction of dendritic and axonal morphology of single neurons.

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