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Exploring the use of single-mode fibers (SMFs) in high precision Doppler spectrometers has become increasingly attractive since the advent of diffraction-limited adaptive optics systems on large-aperture telescopes. Spectrometers fed with…

Instrumentation and Methods for Astrophysics · Physics 2015-12-02 Samuel Halverson , Arpita Roy , Suvrath Mahadevan , Christian Schwab

Multi-mode fibers provide an increased amount of data transfer rates given a large number of transmission modes. Unfortunately, the increased number of modes in a multi-mode fiber hinders the accurate transfer of information due to…

Optics · Physics 2023-02-16 Alim Yolalmaz , Emre Yüce

There are several high-performance adaptive optics systems that deliver diffraction-limited imaging on ground-based telescopes, which renewed the interest of single-mode fiber (SMF) spectroscopy for exoplanet characterization. However, the…

Instrumentation and Methods for Astrophysics · Physics 2021-05-19 S. Y. Haffert

Multimode optical fibres are hair-thin strands of glass that efficiently transport light. They promise next-generation medical endoscopes that provide unprecedented sub-cellular image resolution deep inside the body. However, confining…

Machine Learning · Computer Science 2024-06-13 Yijie Zheng , Robert J. Kilpatrick , David B. Phillips , George S. D. Gordon

We experimentally compare the optical bandwidth of a conventional single-mode fiber (SMF) with 3 different photonic crystal fibers (PCF) all optimized for visible applications. The spectral attenuation, single-turn bend loss, and mode-field…

Optics · Physics 2007-05-23 M. D. Nielsen , J. R. Folkenberg , N. A. Mortensen , A. Bjarklev

Lensless illumination single-pixel imaging with a multicore fiber (MCF) is a computational imaging technique that enables potential endoscopic observations of biological samples at cellular scale. In this work, we show that this technique…

Signal Processing · Electrical Eng. & Systems 2023-07-18 Olivier Leblanc , Matthias Hofer , Siddharth Sivankutty , Hervé Rigneault , Laurent Jacques

Existing deep learning methods in multimode fiber (MMF) imaging often focus on simpler datasets, limiting their applicability to complex, real-world imaging tasks. These models are typically data-intensive, a challenge that becomes more…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Jawaria Maqbool , M. Imran Cheema

Multi-core fiber-bundle endoscopes provide a minimally-invasive solution for deep tissue imaging and opto-genetic stimulation, at depths beyond the reach of conventional microscopes. Recently, wavefront-shaping has enabled lensless…

Optics · Physics 2018-11-14 Uri Weiss , Ori Katz

Conventional microwave imaging schemes, enabled by the ubiquity of coherent sources and detectors, have traditionally relied on frequency bandwidth to retrieve range information, while using mechanical or electronic beamsteering to obtain…

Mode division multiplexing (MDM) in optical fibers enables multichannel capabilities for various applications, including data transmission, quantum networks, imaging, and sensing. However, MDM optical fiber systems, usually necessities…

Optics · Physics 2023-11-10 Kaihang Lu , Zengqi Chen , Hao Chen , Wu Zhou , Zunyue Zhang , Hon Ki Tsang , Yeyu Tong

Minimally invasive imaging with fiber optic endoscopes is crucial for in vivo visualization of tissue morphology, particularly because visualizing structural changes in tissue can support applications such as the early diagnosis of tumors.…

Purpose: Endovascular aortic repair procedures are currently conducted with 2D fluoroscopy imaging. Tracking systems based on fiber Bragg gratings are an emerging technology for the navigation of minimal-invasive instruments which can…

Medical Physics · Physics 2019-09-10 Sonja Jäckle , Tim Eixmann , Hinnerk Schulz-Hildebrandt , Gereon Hüttmann , Torben Pätz

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typically, the image based approaches are not suitable during…

Signal Processing · Electrical Eng. & Systems 2025-09-04 Maximilian Neidhardt , Sarah Latus , Tim Eixmann , Gereon Hüttmann , Alexander Schlaefer

We study the spatially incoherent light generated by a multimode fiber(MMF) in the application of image projection designed for the ultracold-atom experiments. Inspired by previous half-analytic methods concerning the incoherent light, here…

Optics · Physics 2024-11-04 Ken Deng , Zhongchi Zhang , Huaichuan Wang , Zihan Zhao , Jiazhong Hu

Following recent advancements in multimode fiber (MMF), miniaturization of imaging endoscopes has proven crucial for minimally invasive surgery in vivo. Recent progress enabled by super-resolution imaging methods with a data-driven deep…

Optics · Physics 2023-07-12 Chuncheng Zhang , Tingting Liu , Zhihua Xie , Yu Wang , Tong Liu , Qian Chen , Xiubao Sui

A standard multimode optical fiber can be used as a general purpose spectrometer after calibrating the wavelength dependent speckle patterns produced by interference between the guided modes of the fiber. A transmission matrix was used to…

Optics · Physics 2017-03-30 Brandon Redding , Sebastien M. Popoff , Hui Cao

We propose a robust image enhancement algorithm dedicated for muscle fiber specimen images captured by optical microscopes. Blur or out of focus problems are prevalent in muscle images during the image acquisition stage. Traditional image…

Computer Vision and Pattern Recognition · Computer Science 2016-12-20 Xiangfei Kong , Lin Yang

The formation of organized optical states in multidimensional systems is crucial for understanding light-matter interaction and advancing light-shaping technologies. Here, we report the observation of a self-localized, ultrafast pencil beam…

We consider large-mode area photonic crystal fibers for visible applications where micro-deformation induced attenuation becomes a potential problem when the effective area A_eff is sufficiently large compared to lambda^2. We argue how a…

Optics · Physics 2007-09-05 M. D. Nielsen , N. A. Mortensen , J. R. Folkenberg

We use Deep Neural Networks (DNNs) to classify and reconstruct a large database of handwritten digits from the intensity of the speckle patterns that result after the images propagated through multimode fibers (MMF). Images transmitted…

Optics · Physics 2018-08-21 Navid Borhani , Eirini Kakkava , Christophe Moser , Demetri Psaltis
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