[HTML][HTML] 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 …
[HTML][HTML] 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 …
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 …
Mode control in a multimode fiber through acquiring its transmission matrix from a reference-less optical system
A simple imaging system, together with complex semidefinite programming, is used to
generate the transmission matrix (TM) of a multimode fiber. Once the TM is acquired, we can …
generate the transmission matrix (TM) of a multimode fiber. Once the TM is acquired, we can …
Efficient reference-less transmission matrix retrieval for a multimode fiber using fast Fourier transform
Imaging through multimode fiber (MMF) provides high-resolution imaging through a fiber
with cross section down to tens of micrometers. It requires interferometry to measure the full …
with cross section down to tens of micrometers. It requires interferometry to measure the full …
[HTML][HTML] Focusing light through scattering media by reinforced hybrid algorithms
Light scattering inside disordered media poses a significant challenge to achieve deep
depth and high resolution simultaneously in biomedical optical imaging. Wavefront shaping …
depth and high resolution simultaneously in biomedical optical imaging. Wavefront shaping …
Retrieving the optical transmission matrix of a multimode fiber using the extended Kalman filter
Characterizing the transmission matrix (TM) of a multimode fiber (MMF) benefits many fiber-
based applications and allows in-depth studies on the physical properties. For example, by …
based applications and allows in-depth studies on the physical properties. For example, by …
Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset
A transmission matrix describes the input-output relationship of a complex wavefront as it
passes through/reflects off a multiple-scattering medium, such as frosted glass or a painted …
passes through/reflects off a multiple-scattering medium, such as frosted glass or a painted …
Referenceless characterization of complex media using physics-informed neural networks
In this work, we present a method to characterize the transmission matrices of complex
scattering media using a physics-informed, multi-plane neural network (MPNN) without the …
scattering media using a physics-informed, multi-plane neural network (MPNN) without the …
Speckle spatial correlations aiding optical transmission matrix retrieval: the smoothed Gerchberg–Saxton single-iteration algorithm
The estimation of the transmission matrix of a disordered medium is a challenging problem
in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at …
in disordered photonics. Usually, its reconstruction relies on a complex inversion that aims at …