Brain-wide 3D neuron detection and mapping with deep learning
Our approach has demonstrated its effectiveness in detecting and mapping somata within whole-brain imaging data. This method can serve as a computational tool to facilitate a deeper understanding of the brain's complex networks and functions.
Authors
- Pei Sun (ORCID: https://orcid.org/0000-0002-5938-8180)
- Hongbo Jia (ORCID: https://orcid.org/0000-0003-1585-2161)
- Chaoyue Yang
- Ziyan Gao (ORCID: https://orcid.org/0000-0002-3911-4019)
- Junxia Pan
- Xiang Liao (ORCID: https://orcid.org/0000-0001-6324-5206)
- Zhehao Xu
- Meng Wang (ORCID: https://orcid.org/0000-0003-4344-8828)
- Xiaowei Chen (ORCID: https://orcid.org/0009-0009-2079-8105)
- Longhui Li (ORCID: https://orcid.org/0000-0002-9259-1754)
- Yuanyang Liu (ORCID: https://orcid.org/0009-0005-9781-1102)
Institutions
- Army Medical University (CN)
- Chongqing University (CN)
- Chinese Academy of Sciences (CN)
- Suzhou Institute of Biomedical Engineering and Technology (CN)
Publication Details
- Journal
- Neurophotonics
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1117/1.nph.12.2.025012
- Citations
- 1
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.63
Funders
- National Natural Science Foundation of China