NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry
Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in recent years. Here, to facilitate interactive exploration in a standardized and scalable manner, we introduce NeuroXiv (neuroxiv.org), a large-scale database containing 175,149 reconstructed neuron morphologies mapped to the Common Coordinate Framework Version 3 (CCFv3). In addition, NeuroXiv incorporates an AI-powered mining engine (AIPOM) for dynamic, user-specific data mining, delivering enhanced performance via a custom client program.
Authors
- Zhixi Yun (ORCID: https://orcid.org/0000-0002-8226-7408)
- Shengdian Jiang (ORCID: https://orcid.org/0000-0002-2277-263X)
- Lijun Wang (ORCID: https://orcid.org/0000-0001-5773-3422)
- Lijuan Liu (ORCID: https://orcid.org/0000-0002-9548-6183)
- Jianhua Yao (ORCID: https://orcid.org/0000-0001-9157-9596)
- Hanbo Chen (ORCID: https://orcid.org/0000-0002-8094-1761)
Institutions
- Shanghai Academy of Social Sciences (CN)
- Tencent (China) (CN)
- Fudan University (CN)
- Southeast University (BD)
- Southeast University (CN)
Publication Details
- Journal
- Nature Methods
- Published
- 2025-04-29
- DOI
- https://doi.org/10.1038/s41592-025-02687-2
- Citations
- 3
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.90