Name
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s12021-015-9278-1 | Neuroinformatics |
Keywords | Field | DocType |
Neuron reconstruction, 2D Projection, Reverse mapping, Virtual finger, Vaa3D | Computer vision,Computer science,Reverse mapping,Software,Reconstruction algorithm,Artificial intelligence,Digital reconstruction,Tracing,Machine learning,Computation | Journal |
Volume | Issue | ISSN |
14 | 1 | 1559-0089 |
Citations | PageRank | References |
17 | 0.59 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhi Zhou | 1 | 152 | 10.11 |
| Xiaoxiao Liu | 2 | 44 | 5.29 |
| Brian Long | 3 | 17 | 0.59 |
| Hanchuan Peng | 4 | 3930 | 182.27 |