Spatiotemporal nonlinear interactions in multimode fibers are of interest for beam shaping
and frequency conversion by exploiting the nonlinear interaction of different pump modes …

Lensless fiber endoscopes are of great importance for keyhole imaging. Coherent fiber
bundles (CFB) can be used in endoscopes as remote phased arrays to capture images. One …

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 …

The real-time transmission of images through a multimode fiber (MMF) is still a challenging
research work. One method completes image transmission by measuring and controlling the …

Fiber bend is a major challenge of multimode fiber (MMF) imaging. More robustness against
fiber bend is demonstrated in compressive MMF imaging using mean speckle patterns …

The obstacle of imaging through multimode fibers (MMFs) is encountered due to the fact that
the inherent mode dispersion and mode coupling lead the output of the MMF to be scattered …

Computational cannula microscopy is a minimally invasive imaging technique that can
enable high-resolution imaging deep inside tissue. Here, we apply artificial neural networks …

Computational cannula microscopy (CCM) is a high-resolution widefield fluorescence
imaging approach deep inside tissue, which is minimally invasive. Rather than using …

Multimode fibers may serve as narrow-gauge imaging probes that extend the reach of
optical imaging, using computational reconstruction and knowledge of the fiber's single-pass …

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 …