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.

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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
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article

Improved 3D image reconstruction via deep-learning-based fusion of light-field microscopy and Fourier light-field microscopy images

Lin Zhao, Er Ouyang, Hui Fang, Xuhui Zhou et al.
Journal of Biomedical Optics
Digital Holography and Microscopy
article

Improved 3D image reconstruction via deep-learning-based fusion of light-field microscopy and Fourier light-field microscopy images

Lin Zhao, Er Ouyang, Hui Fang, Xuhui Zhou, Liang Liang
article en

Abstract

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.

Journal of Biomedical OpticsVol. 31(03)
Hunan Institute of Science and Technology (CN), Shenzhen University (CN)
Openalex Percentile: Top 36%
Digital Holography and Microscopy
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