NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry
Shengdian Jiang1,2, Lijun Wang1,3, Zhixi Yun1,2
1New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.
Nature Methods
|April 29, 2025
Summary
NeuroXiv is a new database featuring 175,149 neuron morphologies mapped to the Common Coordinate Framework Version 3 (CCFv3). It includes an AI-powered mining engine (AIPOM) for dynamic data exploration.
Area of Science:
- Neuroscience
- Bioinformatics
- Computational Biology
Background:
- Extensive reconstruction of neuron morphology at the whole-brain scale has been achieved by recent projects.
- There is a need for standardized and scalable methods for interactive exploration of this complex data.
Purpose of the Study:
- To introduce NeuroXiv, a large-scale database for interactive exploration of neuron morphologies.
- To integrate an AI-powered mining engine (AIPOM) for user-specific data mining.
Main Methods:
- Compilation of 175,149 reconstructed neuron morphologies.
- Mapping morphologies to the Common Coordinate Framework Version 3 (CCFv3).
- Development of an AI-powered mining engine (AIPOM) and a custom client program.
Main Results:
- NeuroXiv provides a centralized repository of 175,149 neuron morphologies.
- The database is mapped to the Common Coordinate Framework Version 3 (CCFv3) for standardization.
- The AI-powered mining engine (AIPOM) enables dynamic and user-specific data retrieval.
Conclusions:
- NeuroXiv offers a scalable and interactive platform for exploring neuron morphology data.
- The integration of AIPOM enhances data mining capabilities for neuroscience research.
- This resource facilitates a deeper understanding of neural structures and connectivity.
