AI-driven multicore fiber-optic cell rotation

Jiawei Sun; Zhaoqing Chen; Yuhang Tang; Bin Yang; Zhigang Wang; Guan Huang; Bin Zhao; Xuelong Li; Juergen Czarske

doi:10.1117/12.3027189

4 October 2024 AI-driven multicore fiber-optic cell rotation

Jiawei Sun, Zhaoqing Chen, Yuhang Tang, Bin Yang, Zhigang Wang, Guan Huang, Bin Zhao, Xuelong Li, Juergen Czarske

Author Affiliations +

Proceedings Volume 13118, Emerging Topics in Artificial Intelligence (ETAI) 2024; 1311803 (2024) https://doi.org/10.1117/12.3027189
Event: Nanoscience + Engineering, 2024, San Diego, California, United States

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.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiawei Sun, Zhaoqing Chen, Yuhang Tang, Bin Yang, Zhigang Wang, Guan Huang, Bin Zhao, Xuelong Li, and Juergen Czarske "AI-driven multicore fiber-optic cell rotation", Proc. SPIE 13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, 1311803 (4 October 2024); https://doi.org/10.1117/12.3027189

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