Transmission in Multimode fiber with deep learning

Spatio-temporal control of femtosecond pulse-delivery through multimode fibers (MMF) can be used to achieve two photon photo-polymerization. Transmission-matrix method is used in linear domain to solve the scrambling effect at the fiber output and generate focused spots. However, multimode fibers suffer from non-linear effects at high peak intensities. The method is not effective to describe light propagation in the nonlinear regime. Here we propose a deep learning network which can learn the relationship between inputs and outputs of the MMF. We show that once the network is properly trained, it can directly calculate the inverse of the transmission matrix.


Published in:
2018 International Conference On Optical Mems And Nanophotonics (Omn), 179-180
Presented at:
International Conference on Optical MEMS and Nanophotonics (OMN), Lausanne, SWITZERLAND, Jul 29-Aug 02, 2018
Year:
Jan 01 2018
Publisher:
New York, IEEE
ISSN:
2160-5033
ISBN:
978-1-5090-6374-1
Keywords:
Laboratories:




 Record created 2019-01-23, last modified 2019-08-12


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