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).

• Type: Journal
• Year: 2016
• Where: NI
• Authors: Zhi Zhou, Xiaoxiao Liu, Brian Long, Hanchuan Peng
• Keywords: Communications, NI 2016