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Despite its ability to draw precise inferences from large and complex datasets, the use of data analytics in the field of condensed matter and materials sciences -- where vast quantities of complex metrology data are regularly generated --…

应用物理 · 物理学 2019-01-31 Davoud Hejazi , Shuangjun Liu , Sarah Ostadabbas , Swastik Kar

Hyperspectral images often have hundreds of spectral bands of different wavelengths captured by aircraft or satellites that record land coverage. Identifying detailed classes of pixels becomes feasible due to the enhancement in spectral and…

计算机视觉与模式识别 · 计算机科学 2022-04-21 Raymond H. Chan , Ruoning Li

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…

光学 · 物理学 2024-09-02 Michał Lipka , Michał Parniak

Many spectral CT applications require accurate material decomposition. Existing material decomposition algorithms are often susceptible to significant noise magnification or, in the case of one-step model-based approaches, hampered by slow…

医学物理 · 物理学 2025-07-22 Xiao Jiang , Grace J. Gang , J. Webster Stayman

Mid-infrared spectroscopy probes molecular vibrations to identify chemical species and functional groups. Therefore, mid-infrared hyperspectral imaging is one of the most powerful and promising candidates for chemical imaging using optical…

光学 · 物理学 2023-07-06 Yue Zhao , Shota Kusama , Yuji Furutani , Wei-Hong Huang , Chih-Wei Luo , Takao Fuji

The conventional high-level sensing techniques require high-fidelity images as input to extract target features, which are produced by either complex imaging hardware or high-complexity reconstruction algorithms. In this letter, we propose…

图像与视频处理 · 电气工程与系统科学 2020-06-24 Hao Fu , Liheng Bian , Jun Zhang

We present results from the characterization and optimization of six Skipper CCDs for use in a prototype focal plane for the SOAR Integral Field Spectrograph (SIFS). We tested eight Skipper CCDs and selected six for SIFS based on…

Material decomposition for imaging multiple contrast agents in a single acquisition has been made possible by spectral CT: a modality which incorporates multiple photon energy spectral sensitivities into a single data collection. This work…

医学物理 · 物理学 2020-08-11 Matthew Tivnan , Steven Tilley , J. Webster Stayman

We describe a quasi-optical multifrequency ESR spectrometer operating in the 75-225 GHz range and optimized at 210 GHz for general use in condensed matter physics, chemistry and biology. The quasi-optical bridge detects the change of mm…

材料科学 · 物理学 2012-10-23 Kalman L Nagy , Dario Quintavalle , Titusz Feher , Andras Janossy

Single-pixel imaging (SPI) is significant for applications constrained by transmission bandwidth or lighting band, where 3D SPI can be further realized through capturing signals carrying depth. Sampling strategy and reconstruction algorithm…

图像与视频处理 · 电气工程与系统科学 2025-04-01 Xinyue Ma , Chenxing Wang

We report on a Surface-Plasmon-Resonance (SPR) technique based on Fourier -Transform - Infra - Red (FTIR) spectrometer. In contrast to the conventional surface plasmon technique, operating at a fixed wavelength and a variable angle of…

软凝聚态物质 · 物理学 2013-03-19 V. Lirtsman , M. Golosovsky , D. Davidov

Complex Semi-Definite Programming (SDP) is introduced as a novel approach to phase retrieval enabled control of monochromatic light transmission through highly scattering media. In a simple optical setup, a spatial light modulator is used…

Project 1640 is a high-contrast imaging instrument recently commissioned at Palomar observatory. A combination of a coronagraph with an integral field spectrograph (IFS), Project 1640 is designed to detect and characterize extrasolar…

In this paper we describe improvements to the particle swarm optimizer (PSO) made by inclusion of an unscented Kalman filter to guide particle motion. We demonstrate the effectiveness of the unscented Kalman filter PSO by comparing it with…

神经与进化计算 · 计算机科学 2018-03-21 Chengjia Wang , Keith A. Goatman , James Boardman , Erin Beveridge , David Newby , Scott Semple

Point Spread Function (PSF) engineering is used in single emitter localization to measure the emitter position in 3D and possibly other parameters such as the emission color or dipole orientation as well. Advanced PSF models such as spline…

To reduce the complexity of infrared spectroscopy hardware while maintaining performance, a data informed, task-specific, spectral collection approach termed Sparse Infrared Spectroscopy (SIRS) is developed. Using a numerically based…

化学物理 · 物理学 2025-06-27 Mira Welner , Andre Hazbun , Thomas Beechem

The heterogeneity in nanoscale emitters hinders efforts to understand their basic photophysics and limits their use in practical applications. Existing methods have difficulty accurately characterizing single-emitter spectra and optical…

介观与纳米尺度物理 · 物理学 2026-02-12 Jonah R. Horowitz , Oliver J. Tye , Oliver M. Nix , Shaun Tan , Hogeun Chang , Ji Hyun Min , Taehyung Kim , Moungi G. Bawendi

Imaging through scattering is an important, yet challenging problem. Tremendous progress has been made by exploiting the deterministic input-output "transmission matrix" for a fixed medium. However, this "one-to-one" mapping is highly…

图像与视频处理 · 电气工程与系统科学 2018-09-27 Yunzhe Li , Yujia Xue , Lei Tian

A typical 2D-to-3D pipeline takes multi-view images as input, where a Vision Foundation Model (VFM) extracts features that are spatially upsampled to dense representations for 3D reconstruction. If dense features across views preserve…

计算机视觉与模式识别 · 计算机科学 2026-03-09 Ling Xiao , Yuliang Xiu , Yue Chen , Guoming Wang , Toshihiko Yamasaki

Optical spectrum analysis is the cornerstone of spectroscopic sensing, optical network performance monitoring, and hyperspectral imaging. While conventional high-performance spectrometers used to perform such analysis are often large…

应用物理 · 物理学 2018-03-19 Derek M. Kita , Brando Miranda , David Favela , David Bono , Jerome Michon , Hongtao Lin , Tian Gu , Juejun Hu