Controlling light propagation in multimode fibers for imaging, spectroscopy, and beyond
Light transport in a highly multimode fiber exhibits complex behavior in space, time,
frequency, and polarization, especially in the presence of mode coupling. The newly …
frequency, and polarization, especially in the presence of mode coupling. The newly …
Learning to image and compute with multimode optical fibers
Multimode fibers (MMF) were initially developed to transmit digital information encoded in
the time domain. There were few attempts in the late 60s and 70s to transmit analog images …
the time domain. There were few attempts in the late 60s and 70s to transmit analog images …
Multimode optical fiber transmission with a deep learning network
Multimode fibers (MMFs) are an example of a highly scattering medium, which scramble the
coherent light propagating within them to produce seemingly random patterns. Thus, for …
coherent light propagating within them to produce seemingly random patterns. Thus, for …
Harnessing disorder for photonic device applications
For photonic devices, structural disorder and light scattering have long been considered
annoying and detrimental features that were best avoided or minimized. This review shows …
annoying and detrimental features that were best avoided or minimized. This review shows …
Generalizing the Gerchberg–Saxton algorithm for retrieving complex optical transmission matrices
The Gerchberg–Saxton (GS) algorithm, which retrieves phase information from the
measured intensities on two related planes (the source plane and the target plane), has …
measured intensities on two related planes (the source plane and the target plane), has …
Sensing in the presence of strong noise by deep learning of dynamic multimode fiber interference
A new approach to optical fiber sensing is proposed and demonstrated that allows for
specific measurement even in the presence of strong noise from undesired environmental …
specific measurement even in the presence of strong noise from undesired environmental …
Image reconstruction through a multimode fiber with a simple neural network architecture
Multimode fibers (MMFs) have the potential to carry complex images for endoscopy and
related applications, but decoding the complex speckle patterns produced by mode-mixing …
related applications, but decoding the complex speckle patterns produced by mode-mixing …
Probabilistic phase shaping guided wavefront control of complex media with information‐limited intensity measurements
Recent developments in wavefront shaping for complex media bring new possibilities to a
variety of applications, including optical imaging, optical manipulation, and optical …
variety of applications, including optical imaging, optical manipulation, and optical …
Machine learning for sensing with a multimode exposed core fiber specklegram sensor
Fiber specklegram sensors (FSSs) traditionally use statistical methods to analyze
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
Optimizing the internal phase reference to shape the output of a multimode optical fiber
Pre-shaping light to achieve desired amplitude distributions at the tip of a multimode fiber
(MMF) has emerged as a powerful method allowing a wide range of imaging techniques to …
(MMF) has emerged as a powerful method allowing a wide range of imaging techniques to …