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Enhanced Light Control in Transmission and Reflection through a Dynamically Deformed Multimode Fiber with Deep Learning

  • Pengfei Fan*
  • , Yufei Wang
  • , Michael Ruddlesden
  • , Chao Zuo
  • , Lei Su
  • *Corresponding author for this work
  • Queen Mary University of London
  • Nanjing University of Science and Technology

Research output: Contribution to conferencePaperpeer-review

Abstract

We present a continual deep-learning framework for characterizing a dynamically deformed multimode fiber (MMF). It enables real-time self-adaptive focus control using transmission and reflection synchronously, addressing challenges like imaging system drift and fiber distal access.

Original languageEnglish
Publication statusPublished - 2024
EventCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics - Charlotte, United States
Duration: 5 May 202410 May 2024

Conference

ConferenceCLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics
Country/TerritoryUnited States
CityCharlotte
Period5/05/2410/05/24

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