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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationEmerging Topics in Artificial Intelligence, ETAI 2024
EditorsGiovanni Volpe, Joana B. Pereira, Daniel Brunner, Aydogan Ozcan
PublisherSPIE
ISBN (Electronic)9781510678965
DOIs
StatePublished - 2024
Event2024 Emerging Topics in Artificial Intelligence, ETAI 2024 - San Diego, United States
Duration: 18 Aug 202423 Aug 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13118
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2024 Emerging Topics in Artificial Intelligence, ETAI 2024
Country/TerritoryUnited States
CitySan Diego
Period18/08/2423/08/24

Keywords

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

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