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Quantum imaging employs the nonclassical correlation of photons to break through the noise limitation of classical imaging, realizing high sensitivity, high SNR imaging and multifunctional image processing. To enhance the flexibility and…

State Space Models (SSMs) with selective scan (Mamba) have been adapted into efficient vision models. Mamba, unlike Vision Transformers, achieves linear complexity for token interactions through a recurrent hidden state process. This…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Saarthak Kapse , Robin Betz , Srinivasan Sivanandan

We present a method for acquiring a sequence of time-resolved images in a single shot, called Single-Shot Non-Synchronous Array Photography (SNAP). In SNAP, a pulsed laser beam is split by a diffractive optical element into an array of…

We describe a technique coupling standard rheology and ultrasonic imaging with promising applications to characterization of soft materials under shear. Plane wave imaging using an ultrafast scanner allows to follow the local dynamics of…

An optical neural network is proposed and demonstrated with programmable matrix transformation and nonlinear activation function of photodetection (square-law detection). Based on discrete phase-coherent spatial modes, the dimensionality of…

Optics · Physics 2021-08-20 Shikang Li , Baohua Ni , Xue Feng , Kaiyu Cui , Fang Liu , Wei Zhang , Yidong Huang

Optical quadratic nonlinearity is ultrafast in nature, while parametric interaction usually manifests only the broadband characteristic. Enormous progress has been made toward broadband phase-matching for parametric amplification and wide…

We present the first experimental realization of a four-dimensional (4D) plasma hologram capable of recording and reconstructing the full spatiotemporal information of intense laser pulses. The holographic encoding is achieved through the…

High-dimensional biphoton states are promising resources for quantum applications, ranging from high-dimensional quantum communications to quantum imaging. A pivotal task is fully characterising these states, which is generally…

Quantum Physics · Physics 2023-02-20 Danilo Zia , Nazanin Dehghan , Alessio D'Errico , Fabio Sciarrino , Ebrahim Karimi

Lasers that generate ultra-intense light pulses are under development for experiments in high-field and high-energy-density physics, as well as for applications such as particle acceleration. Extensions to even higher powers are being…

The resolution limits of classical spectroscopy can be surpassed by quantum-inspired methods leveraging the information contained in the phase of the complex electromagnetic field. Their counterpart in spatial imaging has been widely…

Optics · Physics 2024-09-02 Michał Lipka , Michał Parniak

We have demonstrated a new, accessible and economical technique, dubbed photostop, for producing high densities of trappable molecules. Direct measurements are presented of NO molecules produced with a narrow velocity distribution centered…

Chemical Physics · Physics 2013-08-12 Alexandre Trottier , David Carty , Eckart Wrede

Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation. Multispectral imaging is an optical modality…

Computer Vision and Pattern Recognition · Computer Science 2017-06-23 Geoffrey Jones , Neil T Clancy , Xiaofei Du , Maria Robu , Simon Arridge , Daniel S Elson , Danail Stoyanov

Ultrafast imaging of photon statistics in two dimensions is a powerful tool for probing non-equilibrium and transient optical phenomena, yet it remains experimentally challenging due to the simultaneous need for high temporal resolution and…

Quantum Physics · Physics 2026-03-20 C. Hainaut , K. Ouahrouche , A. Rancon , G. Patera , C. Ouarkoub , M. Le Parquier , P. Suret , A. Amo

Ghost imaging (GI) and single-pixel imaging (SPI) techniques enable image reconstruction without spatially resolved detectors, offering unique access to wide spectral ranges and challenging imaging environments. Yet, their adoption has been…

Optics · Physics 2025-12-23 Shin Motooka , Noriki Komori , Tomoaki Niiyama , Satoshi Sunada

Warm dense matter is a region of phase space that is of high interest to multiple scientific communities ranging from astrophysics to inertial confinement fusion. Further understanding of the conditions and properties of this complex state…

Single fiber imaging technology offers unique insights for research and inspection in difficult to reach and narrow spaces. In particular, ultra-compact multimode fiber (MMF) imaging, has received increasing interest over the past decade.…

Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound. However, limited by the laser's repetition rate, state-of-the-art high-speed PAM technology often sacrifices spatial sampling density (i.e.,…

Image and Video Processing · Electrical Eng. & Systems 2021-04-09 Tri Vu , Anthony DiSpirito , Daiwei Li , Zixuan Zhang , Xiaoyi Zhu , Maomao Chen , Laiming Jiang , Dong Zhang , Jianwen Luo , Yu Shrike Zhang , Qifa Zhou , Roarke Horstmeyer , Junjie Yao

Collective effects, such as waves and instabilities, are integral to our understanding of most plasma phenomena. We have been able to study these in ultracold neutral plasmas by shaping the initial density distribution through spatial…

Plasma Physics · Physics 2015-06-03 P. McQuillen , J. Castro , T. C. Killian

Methods to visualize the two-dimensional distribution of molecules by mass spectrometric imaging evolve rapidly and yield novel applications in biology, medicine, and material surface sciences. Most mass spectrometric imagers acquire high…

Instrumentation and Detectors · Physics 2011-03-11 Casimir Bamberger , Uwe Renz , Andreas Bamberger

In this paper, we tackle the recently popular topic of generating 360-degree images given the conventional narrow field of view (NFoV) images that could be taken from a single camera or cellphone. This task aims to predict the reasonable…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Penglei Gao , Kai Yao , Tiandi Ye , Steven Wang , Yuan Yao , Xiaofeng Wang