Improved 3D image reconstruction via deep-learning-based fusion of light-field microscopy and Fourier light-field microscopy images
We introduce an approach that combines LFM with FLFM, providing an efficient and reliable solution for practical LFM applications. The deep-learning-based framework demonstrates significant potential to simultaneously accelerate imaging acquisition and enhance 3D reconstruction quality, offering further possibilities for computational microscopy.
Authors
- Lin Zhao (ORCID: https://orcid.org/0000-0003-3514-4330)
- Er Ouyang (ORCID: https://orcid.org/0000-0001-6350-3244)
- Hui Fang (ORCID: https://orcid.org/0000-0003-0277-677X)
- Xuhui Zhou
- Liang Liang
Institutions
- Hunan Institute of Science and Technology (CN)
- Shenzhen University (CN)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1117/1.jbo.31.3.036002
- Primary Topic
- Digital Holography and Microscopy
- Type
- article
- Field-Weighted Citation Impact
- 0.00