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Neuromantic : from semi-manual to semi-automatic reconstruction of neuron morphology


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Myatt, D. R., Hadlington, T., Ascoli, G. A. and Nasuto, S. J. (2012) Neuromantic : from semi-manual to semi-automatic reconstruction of neuron morphology. Frontiers in Neuroinformatics, 6 (4). pp. 1-14. ISSN 1662-5196

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To link to this item DOI: 10.3389/fninf.2012.00004


The ability to create accurate geometric models of neuronal morphology is important for understanding the role of shape in information processing. Despite a significant amount of research on automating neuron reconstructions from image stacks obtained via microscopy, in practice most data are still collected manually. This paper describes Neuromantic, an open source system for three dimensional digital tracing of neurites. Neuromantic reconstructions are comparable in quality to those of existing commercial and freeware systems while balancing speed and accuracy of manual reconstruction. The combination of semi-automatic tracing, intuitive editing, and ability of visualizing large image stacks on standard computing platforms provides a versatile tool that can help address the reconstructions availability bottleneck. Practical considerations for reducing the computational time and space requirements of the extended algorithm are also discussed.

Item Type:Article
Divisions:Faculty of Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:32272
Uncontrolled Keywords:morphology, neuronal reconstruction, neuromantic, computational neuroscience, LiveWire
Additional Information:The full text of this article is freely available via PMC using the link supplied in Related URLs. Myatt DR, Hadlington T, Ascoli GA and Nasuto SJ (2012) Neuromantic – from semimanual to semi-automatic reconstruction of neuron morphology. Front. Neuroinform. 6:4.
Publisher Statement:This Document is Protected by copyright and was first published by Frontiers. All rights reserved. it is reproduced with permission.

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