Abstract
Optical manipulation and tomographic imaging play critical roles in biomedical applications, however, applying these technologies to hard-to-reach regions remains challenging. We introduce a series of innovative AI-driven methods designed to facilitate both high-fidelity light field control and image reconstruction through a multicore fiber-optic system. Our approach enables precise, controlled rotation of human cancer cells around all three axes, enabling 3D tomographic reconstructions of these cells with isotropic resolution. The integration of these advanced optical and computational techniques culminates in a powerful optical fiber probe, capable of sophisticated optical manipulation and tomographic imaging, offering new perspectives for optical manipulation and its applications.
| Original language | English |
|---|---|
| Title of host publication | Emerging Topics in Artificial Intelligence, ETAI 2024 |
| Editors | Giovanni Volpe, Joana B. Pereira, Daniel Brunner, Aydogan Ozcan |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510678965 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 Emerging Topics in Artificial Intelligence, ETAI 2024 - San Diego, United States Duration: 18 Aug 2024 → 23 Aug 2024 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 13118 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 2024 Emerging Topics in Artificial Intelligence, ETAI 2024 |
|---|---|
| Country/Territory | United States |
| City | San Diego |
| Period | 18/08/24 → 23/08/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Deep learning
- Fiber-optic trapping
- Optical manipulation
- Optical tomography
- Quantitative phase imaging
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