[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 …
Harnessing disorder for photonic device applications
For photonic devices, structural disorder and light scattering have long been considered
annoying and detrimental features that were best avoided or minimized. This review shows …
annoying and detrimental features that were best avoided or minimized. This review shows …
Image transmission through a dynamically perturbed multimode fiber by deep learning
S Resisi, SM Popoff, Y Bromberg - Laser & Photonics Reviews, 2021 - Wiley Online Library
When multimode optical fibers are perturbed, the data that is transmitted through them is
scrambled. This presents a major difficulty for many possible applications, such as …
scrambled. This presents a major difficulty for many possible applications, such as …
Seeing through multimode fibers with physics-assisted deep learning
H Gao, H Hu, Y Zhang, W Zhang, T Yan - Optics & Laser Technology, 2023 - Elsevier
High-fidelity image transmission through multimode fiber is critical for the biomedical
imaging and telecommunications industries. However, mode coupling and modal dispersion …
imaging and telecommunications industries. However, mode coupling and modal dispersion …
Deep learning image transmission through a multimode fiber based on a small training dataset
An improved deep neural network incorporating attention mechanism and DSSIM loss
function (AM_U_Net) is used to recover input images with speckles transmitted through a …
function (AM_U_Net) is used to recover input images with speckles transmitted through a …
Super-resolution multimode fiber imaging with an untrained neural network
W Li, K Abrashitova, LV Amitonova - Optics Letters, 2023 - opg.optica.org
Multimode fiber endoscopes provide extreme miniaturization of imaging components for
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …
minimally invasive deep tissue imaging. Typically, such fiber systems suffer from low spatial …
Generative adversarial network for superresolution imaging through a fiber
A multimode fiber represents the ultimate limit in miniaturization of imaging endoscopes.
However, such a miniaturization usually comes as a cost of a low spatial resolution and a …
However, such a miniaturization usually comes as a cost of a low spatial resolution and a …
Multiple side-coupled images recognition in plastic optical fibers based on deep learning
S Lu, C Wang, Z Tan - Optics Communications, 2023 - Elsevier
In recent years, the technology of multi-mode fiber (MMF) output speckle recognition has
been widely used in the fields of optical imaging, endoscope devices, and fiber optic sensor …
been widely used in the fields of optical imaging, endoscope devices, and fiber optic sensor …
Single image detecting enhancement through scattering media based on transmission matrix with a deep learning network
W Zhang, S Zhou, X Sui, G Gu, Q Chen - Optics Communications, 2021 - Elsevier
Random scattering media that scatters incident light waves for optical diffraction-limit break
imaging has important application prospects and significance in biomedical imaging …
imaging has important application prospects and significance in biomedical imaging …
Benchmarking analysis of computer generated holograms for complex wavefront shaping using pixelated phase modulators
Wavefront shaping with spatial light modulators (SLMs) enables aberration correction,
especially for light control through complex media, like biological tissues and multimode …
especially for light control through complex media, like biological tissues and multimode …