
1.Harvard Medical School and Massachusetts General Hospital, Wellman Center for Photomedicine, Boston, MA, 02114, USA
2.Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, 02140, USA
3.Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, 7820244, Chile
4.Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, 02140, USA
Martin Villiger (mvilliger@mgh.harvard.edu)
Published:28 February 2023,
Published Online:1 February 2023,
Received:15 August 2022,
Revised:9 December 2022,
Accepted:12 December 2022
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Lee S. Y. et al. Efficient dispersion modeling in optical multimode fiber. Light: Science & Applications, 12, 194-206 (2023).
Lee S. Y. et al. Efficient dispersion modeling in optical multimode fiber. Light: Science & Applications, 12, 194-206 (2023). DOI: 10.1038/s41377-022-01061-7.
Dispersion remains an enduring challenge for the characterization of wavelength-dependent transmission through optical multimode fiber (MMF). Beyond a small spectral correlation width
a change in wavelength elicits a seemingly independent distribution of the transmitted field. Here we report on a parametric dispersion model that describes mode mixing in MMF as an exponential map and extends the concept of principal modes to describe the fiber's spectrally resolved transmission matrix (TM). We present computational methods to fit the model to measurements at only a few
judiciously selected
discrete wavelengths. We validate the model in various MMF and demonstrate an accurate estimation of the full TM across a broad spectral bandwidth
approaching the bandwidth of the best-performing principal modes
and exceeding the original spectral correlation width by more than two orders of magnitude. The model allows us to conveniently study the spectral behavior of principal modes
and obviates the need for dense spectral measurements
enabling highly efficient reconstruction of the multispectral TM of MMF.
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