Lightweight and precise cell classification based on holographic tomography-derived refractive index point cloud
Our proposed method provides an innovative, lightweight solution for 3D cell classification, highlighting the considerable potential of point cloud-based approaches in biomedical research applications.
Authors
- Haoyuan Wang (ORCID: https://orcid.org/0009-0002-3607-4530)
- Z. D. Zhang
- Liyun Zhong (ORCID: https://orcid.org/0000-0003-3686-8031)
- Jianglei Di (ORCID: https://orcid.org/0000-0001-7651-6554)
- Weina Zhang (ORCID: https://orcid.org/0000-0002-9752-9079)
- Miao Zheng (ORCID: https://orcid.org/0000-0002-6205-8262)
- Difeng Wu
Institutions
- Guangzhou Institute of Advanced Technology (CN)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-09-02
- DOI
- https://doi.org/10.1117/1.jbo.30.9.096501
- Citations
- 1
- Primary Topic
- Digital Holography and Microscopy
- Type
- article
- Field-Weighted Citation Impact
- 1.25
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province