AI-driven multicore fiber-optic cell rotation

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Jiawei Sun - , Professur für Mess- und Sensorsystemtechnik, Shanghai Artificial Intelligence Laboratory (Autor:in)
  • Zhaoqing Chen - , Shanghai Artificial Intelligence Laboratory (Autor:in)
  • Yuhang Tang - , Shanghai Artificial Intelligence Laboratory, Northwestern Polytechnical University Xian (Autor:in)
  • Bin Yang - , Professur für Mess- und Sensorsystemtechnik, Technische Universität Dresden (Autor:in)
  • Zhigang Wang - , Shanghai Artificial Intelligence Laboratory (Autor:in)
  • Guan Huang - , Northwestern Polytechnical University Xian (Autor:in)
  • Bin Zhao - , Shanghai Artificial Intelligence Laboratory, Northwestern Polytechnical University Xian (Autor:in)
  • Xuelong Li - , Shanghai Artificial Intelligence Laboratory, China Telecommunications (Autor:in)
  • Juergen Czarske - , Professur für Mess- und Sensorsystemtechnik, Technische Universität Dresden (Autor:in)

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.

Details

OriginalspracheEnglisch
TitelEmerging Topics in Artificial Intelligence, ETAI 2024
Redakteure/-innenGiovanni Volpe, Joana B. Pereira, Daniel Brunner, Aydogan Ozcan
Herausgeber (Verlag)SPIE - The international society for optics and photonics, Bellingham
ISBN (elektronisch)9781510678965
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Publikationsreihe

ReiheProceedings of SPIE - The International Society for Optical Engineering
Band13118
ISSN0277-786X

Konferenz

Titel2024 Emerging Topics in Artificial Intelligence, ETAI 2024
Dauer18 - 23 August 2024
StadtSan Diego
LandUSA/Vereinigte Staaten

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Deep learning, Fiber-optic trapping, Optical manipulation, Optical tomography, Quantitative phase imaging