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Neuroinformatics

Erschienen in:

01.01.2016 | Original Article

TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections

verfasst von: Zhi Zhou, Xiaoxiao Liu, Brian Long, Hanchuan Peng

Erschienen in: Neuroinformatics | Ausgabe 1/2016

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Abstract

Efficient and accurate digital reconstruction of neurons from large-scale 3D microscopic images remains a challenge in neuroscience. We propose a new automatic 3D neuron reconstruction algorithm, TReMAP, which utilizes 3D Virtual Finger (a reverse-mapping technique) to detect 3D neuron structures based on tracing results on 2D projection planes. Our fully automatic tracing strategy achieves close performance with the state-of-the-art neuron tracing algorithms, with the crucial advantage of efficient computation (much less memory consumption and parallel computation) for large-scale images.

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Titel: TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections
verfasst von: Zhi Zhou
Xiaoxiao Liu
Brian Long
Hanchuan Peng
Publikationsdatum: 01.01.2016
Verlag: Springer US
Erschienen in: Neuroinformatics / Ausgabe 1/2016
Print ISSN: 1539-2791
Elektronische ISSN: 1559-0089
DOI: https://doi.org/10.1007/s12021-015-9278-1

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