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2016

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

4 years 4 months ago
TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections
: 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. Availability: This method has been implemented as an Open Source plugin for Vaa3D (http://vaa3d.org).
Zhi Zhou, Xiaoxiao Liu, Brian Long, Hanchuan Peng
Added 08 Apr 2016
Updated 08 Apr 2016
Type Journal
Year 2016
Where NI
Authors Zhi Zhou, Xiaoxiao Liu, Brian Long, Hanchuan Peng
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