GTree
GTree reconstructs neuronal morphologies from large-scale brain imaging datasets for population-level neuron tracing and single-axon resolution analysis.
Key Features:
- Automated Neuron Tracing: Integrates multiple automated tracing algorithms to trace neurons in single images and reconstruct neuronal populations from brain-wide image stacks.
- Error-Screening System: Implements an error-screening system to detect and correct submicron errors in densely packed neurites and align reconstructions with ground truth across long projections.
- Efficiency and Speed: Processes extensive datasets such as whole mouse-brain image stacks and has been reported to operate approximately five times faster than widely used commercial software on such datasets.
- Scalability: Handles very large datasets exceeding 10 terabytes and supports data from various light microscopy platforms.
Scientific Applications:
- Population-level neuronal reconstruction: Reconstructs neuronal populations at single-axon level across the mouse brain to support mapping of neural circuits.
- Anatomical mapping of long-range projections: Applied to reconstruct 35 long-projection neurons around an injection site in a mouse brain for detailed connectivity analysis.
Methodology:
Performs automated neuron tracing via integrated algorithmic approaches and applies an error-screening system to detect and correct submicron neurite errors on brain-wide image stacks, including datasets >10 TB.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 1/25/2021
Operations
Publications
Zhou H, Li S, Li A, Huang Q, Xiong F, Li N, Han J, Kang H, Chen Y, Li Y, Lin H, Zhang Y, Lv X, Liu X, Gong H, Luo Q, Zeng S, Quan T. GTree: an Open-source Tool for Dense Reconstruction of Brain-wide Neuronal Population. Neuroinformatics. 2020;19(2):305-317. doi:10.1007/s12021-020-09484-6. PMID:32844332.
PMID: 32844332
Funding: - National Basic Research Program of China: 2015CB7556003
- National Natural Science Foundation of China: 81327802, 81771913
- Science Fund for Creative Research Groups: 61721092
- Science Fund for Young and Middle-aged Creative Research Group of the Universities in Hubei Province: T201520