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 …
Light fields in complex media: Mesoscopic scattering meets wave control
The newly emerging field of wave front sha** in complex media has recently seen
enormous progress. The driving force behind these advances has been the experimental …
enormous progress. The driving force behind these advances has been the experimental …
Deep optical imaging within complex scattering media
Optical imaging has had a central role in elucidating the underlying biological and
physiological mechanisms in living specimens owing to its high spatial resolution, molecular …
physiological mechanisms in living specimens owing to its high spatial resolution, molecular …
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 …
Wavefront sha**: a versatile tool to conquer multiple scattering in multidisciplinary fields
Optical techniques offer a wide variety of applications as light-matter interactions provide
extremely sensitive mechanisms to probe or treat target media. Most of these …
extremely sensitive mechanisms to probe or treat target media. Most of these …
All-fiber high-speed image detection enabled by deep learning
Ultra-high-speed imaging serves as a foundation for modern science. While in biomedicine,
optical-fiber-based endoscopy is often required for in vivo applications, the combination of …
optical-fiber-based endoscopy is often required for in vivo applications, the combination of …
Backpropagation-free training of deep physical neural networks
Recent successes in deep learning for vision and natural language processing are
attributed to larger models but come with energy consumption and scalability issues. Current …
attributed to larger models but come with energy consumption and scalability issues. Current …
Subcellular spatial resolution achieved for deep-brain imaging in vivo using a minimally invasive multimode fiber
Achieving intravital optical imaging with diffraction-limited spatial resolution of deep-brain
structures represents an important step toward the goal of understanding the mammalian …
structures represents an important step toward the goal of understanding the mammalian …
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 …
Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media
The output of physical systems, such as the scrambled pattern formed by shining the spot of
a laser pointer through fog, is often easily accessible by direct measurements. However …
a laser pointer through fog, is often easily accessible by direct measurements. However …