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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.24191 |
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| _version_ | 1866912613490753536 |
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| author | Zhao, Ruixuan Hua, Xuanwen Baek, Woongjae Wang, Zhaoqiang Jia, Shu Gao, Liang |
| author_facet | Zhao, Ruixuan Hua, Xuanwen Baek, Woongjae Wang, Zhaoqiang Jia, Shu Gao, Liang |
| contents | Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional three-dimensional (3D) imaging modalities that rely on mechanical or optical scanning, light-field imaging enables high-speed volumetric acquisition, making it particularly well-suited for capturing rapid biological dynamics. This review outlines the theoretical foundations of light-field imaging and surveys its core implementations across microscopy, mesoscopy, and endoscopy. Special attention is given to the fundamental trade-offs between imaging speed, spatial resolution, and depth of field, as well as recent advances that address these limitations through compressive sensing, deep learning, and meta-optics. By positioning light-field imaging within the broader landscape of biomedical imaging technologies, we highlight its unique strengths, existing challenges, and future potential as a scalable and versatile tool for biological discovery and clinical applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_24191 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Review of Light-Field Imaging in Biomedical Sciences Zhao, Ruixuan Hua, Xuanwen Baek, Woongjae Wang, Zhaoqiang Jia, Shu Gao, Liang Optics Computational Physics Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional three-dimensional (3D) imaging modalities that rely on mechanical or optical scanning, light-field imaging enables high-speed volumetric acquisition, making it particularly well-suited for capturing rapid biological dynamics. This review outlines the theoretical foundations of light-field imaging and surveys its core implementations across microscopy, mesoscopy, and endoscopy. Special attention is given to the fundamental trade-offs between imaging speed, spatial resolution, and depth of field, as well as recent advances that address these limitations through compressive sensing, deep learning, and meta-optics. By positioning light-field imaging within the broader landscape of biomedical imaging technologies, we highlight its unique strengths, existing challenges, and future potential as a scalable and versatile tool for biological discovery and clinical applications. |
| title | A Review of Light-Field Imaging in Biomedical Sciences |
| topic | Optics Computational Physics |
| url | https://arxiv.org/abs/2509.24191 |