title: TReMAP: Automatic 3D Neuron Reconstruction Based on Tracing, Reverse Mapping and Assembling of 2D Projections.
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.
authors: Allen Institute for Brain Science, Seattle, WA, USA.
authors: Zhi
authors: Z
authors: Zhou
authors: Allen Institute for Brain Science, Seattle, WA, USA.
authors: Xiaoxiao
authors: X
authors: Liu
authors: Allen Institute for Brain Science, Seattle, WA, USA.
authors: Brian
authors: B
authors: Long
authors: Allen Institute for Brain Science, Seattle, WA, USA. hanchuanp@alleninstitute.org.
authors: Hanchuan
authors: H
authors: Peng
mesh_terms: D000465:Algorithms; D000818:Animals; D001921:Brain / Q000166:cytology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D056347:Neuroanatomical Tract-Tracing Techniques / Q000379:methods*; D009474:Neurons / Q000166:cytology*; D012984:Software
keywords: 2D Projection; Neuron reconstruction; Reverse mapping; Vaa3D; Virtual finger