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 language | English |
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| Publication status | Published - 2024 |
| Event | CLEO: 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 2024 → 10 May 2024 |
Conference
| Conference | CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics |
|---|---|
| Country/Territory | United States |
| City | Charlotte |
| Period | 5/05/24 → 10/05/24 |
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Fan, P., Wang, Y., Ruddlesden, M., Zuo, C., & Su, L. (2024). Enhanced Light Control in Transmission and Reflection through a Dynamically Deformed Multimode Fiber with Deep Learning. Paper presented at CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics, Charlotte, United States.