[HTML][HTML] Ultra-thin 3D lensless fiber endoscopy using diffractive optical elements and deep neural networks
R Kuschmierz, E Scharf… - Light: Advanced …, 2021 - light-am.com
Minimally invasive endoscopes are indispensable in biomedicine. Coherent fiber bundles
(CFBs) enable ultrathin lensless endoscopes. However, the propagation of light through a …
(CFBs) enable ultrathin lensless endoscopes. However, the propagation of light through a …
[HTML][HTML] Learning the matrix of few-mode fibers for high-fidelity spatial mode transmission
Few-mode fibers (FMFs) are promising for advancements in transmission capacity in
classical and quantum communications. However, the inherent modal crosstalk limits the …
classical and quantum communications. However, the inherent modal crosstalk limits the …
Intensity-only mode decomposition on multimode fibers using a densely connected convolutional network
The use of multimode fibers offers advantages in the field of communication technology in
terms of transferable information density and information security. For applications using …
terms of transferable information density and information security. For applications using …
Deep learning-based fiber bending recognition for sensor applications
The sensitivity of multimode fibers (MMFs) to mechanical deformations has led to their
widespread use in various fields, such as structural monitoring and healthcare. However …
widespread use in various fields, such as structural monitoring and healthcare. However …
Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network
Results Temporal results. The datasets generated by the aforementioned TD-BPM contain
1,000 examples of spatiotemporal nonlinear propagation of femtosecond pulses (see …
1,000 examples of spatiotemporal nonlinear propagation of femtosecond pulses (see …
Degenerated mode decomposition with convolutional neural network for few-mode fibers
In this paper, a deep learning method is proposed to fully characterize the degenerated
mode of high-order mode (HOM) group in few-mode fibers (FMFs). The HOM consists of four …
mode of high-order mode (HOM) group in few-mode fibers (FMFs). The HOM consists of four …
Sub-sampled modal decomposition in few-mode fibers
K Choi, C Jun - Optics Express, 2021 - opg.optica.org
Retrieving modal contents from a multimode beam profile can provide the most detailed
information of a beam. Numerical modal decomposition is a method of retrieving modal …
information of a beam. Numerical modal decomposition is a method of retrieving modal …
Complex wavefront sha** through a multi-core fiber
Wavefront sha** through a multi-core fiber (MCF) is turning into an attractive method for
endoscopic imaging and optical cell-manipulation on a chip. However, the discrete …
endoscopic imaging and optical cell-manipulation on a chip. However, the discrete …
Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor
Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be
obtained in a non-invasive way by optical fiber sensors. In this paper, we propose a modified …
obtained in a non-invasive way by optical fiber sensors. In this paper, we propose a modified …
Few-Mode Fiber Characterization System Based on the Spatially and Spectrally Imaging Technique
With the widespread use of few-mode fibers, mode characteristics testing becomes
essential. In this paper, current few-mode fiber testing techniques are discussed, and the S2 …
essential. In this paper, current few-mode fiber testing techniques are discussed, and the S2 …