@inproceedings{84464063df394cb5a35d7f50d6123cf2,
title = "AI-driven multicore fiber-optic cell rotation",
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.",
keywords = "Deep learning, Fiber-optic trapping, Optical manipulation, Optical tomography, Quantitative phase imaging",
author = "Jiawei Sun and Zhaoqing Chen and Yuhang Tang and Bin Yang and Zhigang Wang and Guan Huang and Bin Zhao and Xuelong Li and Juergen Czarske",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 2024 Emerging Topics in Artificial Intelligence, ETAI 2024 ; Conference date: 18-08-2024 Through 23-08-2024",
year = "2024",
doi = "10.1117/12.3027189",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Giovanni Volpe and Pereira, {Joana B.} and Daniel Brunner and Aydogan Ozcan",
booktitle = "Emerging Topics in Artificial Intelligence, ETAI 2024",
}