Conventional endoscopes comprise a bundle of optical fibers, associating one fiber for each pixel in the image. In principle, this can be reduced to a single multimode optical fiber (MMF), the width o...
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In this paper, we experimentally demonstrate the high-fidelity imaging through a bent MMF by the conventional neural network (CNN). Two methods (accuracy and Pearson correlation coefficient) are
In this study, we have systematically demonstrated NN-based multimode fiber imaging and characterization under thermal perturbations. Firstly, we show experimentally that two kinds of
Image transmission through multimode fiber (MMF) has great potential to innovate the systems of endoscopic or neurological imaging. However, when injecting a light pulse with image information
We demonstrate near–video-rate 3D imaging through multimode fibers with a total aperture of several hundred micrometers. We implement aberration
High-quality signal transmission and imaging through a multimode fiber is essential for optical communications and medical endoscopic imaging, as it can
The optical transport of images through a multimode fibre remains an outstanding challenge with applications ranging from optical communications to neuro-imaging. State of the art
Multimode fiber (MMF) spectrometers suffer from the resolution-bandwidth trade-off due to the limited spatial speckle information used for spectral recovery.
High-fidelity image transmission through multimode fiber is critical for the biomedical imaging and telecommunications industries. However, mode coupl
Abstract Multimode optical fiber (MMF) imaging is an emerging fiber imaging technology that has been developed during the last decade. In this work, we demonstrate deep-learning-based
This study highlights how recent advances in deep learning have impacted the revival of imaging through multimode fibers. In particular, the deep learning approach has eliminated the need
Imaging through multimode fibers based on deep learning has been widely researched. However, existing supervised methods mainly use large scale speckl
In this paper, we propose and demonstrate a high-resolution wavelength-scanning multimode fiber imaging system, enabled by an integrated optical phased array with only 8 phase shifters.
A miniaturized diffractive neural network is fabricated on the distal facet of a multimode fibre, allowing all-optical image transportation through the fibre.
There is an upward trend in using multimode fiber for an increasing number of applications such as optical telecommunication, endoscopic imaging or laser beam shaping, which require knowledge of
Multimode fiber (MMF) plays a vital role in promoting the miniaturization of endoscope. However, real-time and high-definition imaging using the MMF that remains a challenging research.
We present a high spatial-resolution multimode fiber imaging system, using an integrated optical phased array with only 8 phase shifters. By scanning wavelengths in a 10 nm span, an equivalent spatial
The MMF imaging system employed in this study utilizes a single multimode fiber to achieve both illumination and transmission of complex images, thereby significantly enhancing the
The idea of transmitting images through multi-mode fibers (MMF) was proposed in 1976 . An experimental demonstration of an image reproduced at the proximal end of the fiber after
The multimode fiber is a kind of scattering medium, in which the light travels along different optical modes with different phase speeds. High-quality optical communications and medical
Methods of imaging in scattering media and particularly MMFs involves measuring the phase and amplitude of the electromagnetic wave, coming out of the MMF
Here, we show experimentally that an MMF imaging scheme based on a neural network (NN) can achieve results that are significantly robust to thermal perturbations.
A multimode fiber stands out as a desirable platform for imaging. Here, we propose and experimentally demonstrate a non-interferometric non-iterative approach for high-speed high
One of the most promising research directions addressing this challenge is novel imaging approaches based on a multimode fiber (MMF). 13 The full potential of
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 and
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
In this paper, we demonstrate a binary-modulated SiPh OPA chip for speckle imaging through MMF, achieving a record-high optical field modulation
In this paper, we propose a network to extract some invariant features of multimode fiber in perturbed state and reconstruct the image. The multimode fiber with a length of 0.5 m and an inner