Roadmap on wavefront shaping and deep imaging in complex media
The last decade has seen the development of a wide set of tools, such as wavefront
shaping, computational or fundamental methods, that allow us to understand and control …
shaping, computational or fundamental methods, that allow us to understand and control …
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 …
Deep learning-based image classification through a multimode fiber in the presence of wavelength drift
Deep neural networks (DNNs) are employed to recover information after its propagation
through a multimode fiber (MMF) in the presence of wavelength drift. The intensity …
through a multimode fiber (MMF) in the presence of wavelength drift. The intensity …
[HTML][HTML] High-resolution wavemeter based on polarization modulation of fiber speckles
For speckle pattern-based wavemeters or spectrometers, the intermodal and the chromatic
dispersion of the diffusion waveguide are key factors in determining the wavelength …
dispersion of the diffusion waveguide are key factors in determining the wavelength …
Wavefront shaping and deep learning in fiber endoscopy
E Kakkava - 2020 - infoscience.epfl.ch
Fiber endoscopy plays an important role in the clinical diagnosis and treatment processes
involved in modern medicine. Thin fiber probes can relay information from confined places …
involved in modern medicine. Thin fiber probes can relay information from confined places …