[2409.15797] Neural Network-Based Multimode Fiber Imaging and
Multimode fiber (MMF) imaging aided by machine learning holds promise for numerous applications, including
Image reconstruction through a multimode fiber with a simple neural
Multimode fibers (MMFs) have the potential to carry complex images for endoscopy and related applications, but
Imaging through a multimode optical fiber with principal component
Imaging through a multimode optical fiber with principal component analysis and a variational autoencoder, Yue,
Multimode Fiber Imaging Based on Hydrogel Fiber
I. Introduction Multimode fiber (MMF) imaging technology holds broad application prospects in bio-imaging, industrial detection, and
Multimode Fiber Speckle Imaging Using Integrated Optical Phased
High spatial resolution typically requires a large number of phase channels. In this paper, we propose and demonstrate a high
All-optical image transportation through a multimode
Here we develop a miniaturized diffractive neural network (DN2s) integrated on the distal
Single multimode fiber imaging based on low-rank recovery
We present a novel scheme of single multimode fiber imaging by exploiting low-rank constraint for a faithful image
Imaging through multimode fibers based on a dual encoder network
In contrast, the multimode fiber (MMF) can transmit target information through numerous optical modes, providing
High-Speed Multimode Fiber Imaging Using Binary
Multimode fiber (MMF) imaging is a powerful technique for minimally invasive endoscopy.
Quantitative phase imaging with a multimode fiber
A multimode fiber stands out as a desirable platform for imaging. Here, we propose and
ACS Publications
ACS Publications
Deep learning-based multimode fiber imaging in multispectral and
Multimode optical fiber (MMF) imaging is an emerging fiber imaging technology that has been developed during the
Cascaded adaptive aberration-eliminating multimode fiber imaging
A promising candidate technology is the multimode fiber (MMF) endoscope, which enables minimally invasive diagnostics at a
Controlling light propagation in multimode fibers for imaging
Light transport in a highly multimode fiber exhibits complex behavior in space, time, frequency, and polarization,
Flexible single multimode fiber imaging using white LED
Abstract: Multimode fiber (MMF) has been proven to have good potential in imaging and optical communication because of its
All-optical image transportation through a multimode fibre using a
A miniaturized diffractive neural network is fabricated on the distal facet of a multimode fibre, allowing all-optical image
Rapid Focused Spot Scanning Imaging Using Multimode Fiber with a
In this paper, we present a rapid beam-focusing method for multimode fiber (MMF) that integrates a Convolutional
Wavelength Multiplexing Image Transportation Through Multimode
Experimental results demonstrate its potential for preserving high-fidelity information transfer while ensuring robustness and high
Time-of-flight 3D imaging through multimode optical fibers
We demonstrate near–video-rate 3D imaging through multimode fibers with a total aperture
Imaging through multimode fibers using physics-assisted
In this paper, a physics-assisted, unsupervised, learning-based fiber imaging scheme named TMCyclegan is proposed
Imaging through multimode fibers based on a dual encoder network
The above results show that DEANet, as a high-fidelity reconstruction network with both local and global sensing
High-robust compressive multimode fiber imaging based on
Abstract Multimode fiber (MMF) imaging technology has promising applications in endoscopic systems, and the
High-fidelity imaging through multimode fibers via deep learning
High-fidelity imaging through multimode fibers via deep learning Jun Zhao, Xuanxuan Ji, Minghai Zhang, Xiaoyan
Phase imaging through a single multimode fiber
Phase imaging techniques are pivotal for achieving high-contrast visualization of unstained biological specimens in
Multimode Fiber Imaging Based on Hydrogel Fiber
We demonstrate multimode fiber imaging based on hydrogel fibers, which are suitable for biomedical applications due to their

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