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Superconducting strip single-photon detectors offer excellent photon detection performance and are indispensable tools for cutting-edge optical science and technologies, including photonic quantum computation and quantum networks.…

Quantum Physics · Physics 2024-03-12 Masahiro Yabuno , Fumihiro China , Hirotaka Terai , Shigehito Miki

Recently, there has been a growing interest in developing Computer Aided Diagnostic (CAD) systems for improving the reliability and consistency of pathology test results. This paper describes a novel CAD system for the Anti-Nuclear Antibody…

Computer Vision and Pattern Recognition · Computer Science 2016-11-15 Arnold Wiliem , Peter Hobson , Brian C. Lovell

We have detected and analyzed narrow, high contrast coherent population trapping resonances, which appear in transmission of the probe monochromatic light beam under action of the counterpropagating two-frequency laser radiation, on example…

Atomic Physics · Physics 2015-06-03 Ersoy Sahin , Ramiz Hamid , Cengiz Birlikseven , Gönül Özen , Azad Ch. Izmailov

Superconducting Nanowire Single Photon Detector (SNSPD) emerges as a potential candidate in the multiple fields requiring sensitive and fast photodetection. While nanowires of low temperature superconducting detectors are mature with…

Superconductivity · Physics 2024-03-13 Souvik Haldar , Arun Sehrawat , Krishna B. Balasubramanian

Graphene and other two-dimensional (2D) materials have emerged as promising materials for broadband and ultrafast photodetection and optical modulation. These optoelectronic capabilities can augment complementary metal-oxide-semiconductor…

Image copy detection is an important task for content moderation. We introduce SSCD, a model that builds on a recent self-supervised contrastive training objective. We adapt this method to the copy detection task by changing the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Ed Pizzi , Sreya Dutta Roy , Sugosh Nagavara Ravindra , Priya Goyal , Matthijs Douze

Holographic coherent X-ray imaging enables nanoscale imaging of biological cells and tissues, rendering both phase and absorption contrast, i.e. real and imaginary parts of the refractive index. Unlike the standard model, which assumes a…

Analysis of PDEs · Mathematics 2026-05-29 Thorsten Hohage , Milad Karimi , Björn Müller

Absorption spectroscopy is widely used in sensing and astronomy to understand molecular compositions on microscopic to cosmological scales. However, typical dispersive spectroscopic techniques require multichannel detection, fundamentally…

Hyperspectral image change detection (HSI-CD) has emerged as a crucial research area in remote sensing due to its ability to detect subtle changes on the earth's surface. Recently, diffusional denoising probabilistic models (DDPM) have…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Xiangrong Zhang , Shunli Tian , Guanchun Wang , Huiyu Zhou , Licheng Jiao

Hyperspectral sensing is a valuable tool for detecting anomalies and distinguishing between materials in a scene. Hyperspectral anomaly detection (HS-AD) helps characterize the captured scenes and separates them into anomaly and background…

Image and Video Processing · Electrical Eng. & Systems 2025-07-23 Mazharul Hossain , Aaron Robinson , Lan Wang , Chrysanthe Preza

We developed highly-sensitive image-current detection systems based on superconducting toroidal coils and ultra-low noise amplifiers for non-destructive measurements of the axial frequencies (550$\sim$800$\,$kHz) of single antiprotons…

X-ray Hybrid CMOS Detectors (HCDs) have advantages over X-ray CCDs due to their higher readout rate abilities, flexible readout, inherent radiation hardness, and low power, which make them more suitable for the next generation large area…

High contrast imaging (HCI) systems rely on active wavefront control (WFC) to deliver deep raw contrast in the focal plane, and on calibration techniques to further enhance contrast by identifying planet light within the residual speckle…

The on-chip measurement of polarization states plays an increasingly crucial role in modern sensing and imaging applications. While high-performance monolithic linearly polarized photodetectors have been extensively studied, integrated…

We present a new method to achieve high-contrast images using segmented and/or on-axis telescopes. Our approach relies on using two sequential Deformable Mirrors to compensate for the large amplitude excursions in the telescope aperture due…

Instrumentation and Methods for Astrophysics · Physics 2015-06-12 Laurent Pueyo , Colin Norman

Refractive index sensing is a highly sensitive and label-free detection method for molecular binding events. Commercial implementations of biosensing concepts based on plasmon resonances typically require significant external…

Instrumentation and Detectors · Physics 2019-02-05 Lion Augel , Yuma Kawaguchi , Stefan Bechler , Roman Körner , Jörg Schulze , Hironaga Uchida , Inga A. Fischer

Photonic crystals (PCs) with localized optical cavity modes arising from topological domain-wall line defects are simulated for optical biosensing by numerical solution of Maxwell's equations. These consist of a square lattice of square…

Optics · Physics 2026-01-06 Zhengzheng Zhai , Sajeev John

We research the requirements of High Contrast Imaging when combined with the cross correlation (CC) of high resolution spectra with known spectroscopic templates for detecting and characterising exoplanets in reflected light. We simulate…

Earth and Planetary Astrophysics · Physics 2019-02-13 George A. Hawker , Ian R. Parry

We achieve high detectivity terahertz sensing using a silicon nitride nanomechanical resonator functionalized with a metasurface absorber. High performances are achieved by striking a fine balance between the frequency stability of the…

Image representation and classification are two fundamental tasks towards multimedia content retrieval and understanding. The idea that shape and texture information (e.g. edge or orientation) are the key features for visual representation…

Computer Vision and Pattern Recognition · Computer Science 2015-08-04 Sheng Guo , Weilin Huang , Yu Qiao