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Tomography of single-particle-resolved detectors is of primary importance for characterizing particle correlations with applications in quantum metrology, quantum simulation and quantum computing. However, it is a non-trivial task in…

In this paper, we present a new approach for periocular recognition based on the Symmetry Assessment by Feature Expansion (SAFE) descriptor, which encodes the presence of various symmetric curve families around image key points. We use the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Fernando Alonso-Fernandez , Anna Mikaelyan , Josef Bigun

Multispectral photoacoustic tomography (PAT) is an imaging modality that utilizes the photoacoustic effect to achieve non-invasive and high-contrast imaging of internal tissues. However, the hardware cost and computational demand of a…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Yutian Zhong , Xiaoming Zhang , Zongxin Mo , Shuangyang Zhang , Wufan Chen , Li Qi

Automated segmentation of cancerous lesions in PET/CT scans is a crucial first step in quantitative image analysis. However, training deep learning models for segmentation with high accuracy is particularly challenging due to the variations…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Shadab Ahamed

This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "micro-cameras" to jointly image across a large field-of-view…

The Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) project is the planned Chinese space telescope for detecting the X and gamma-ray counterpart. It consists of two micro-satellites in low earth orbit with…

Instrumentation and Methods for Astrophysics · Physics 2018-09-17 P. Lv , S. L. Xiong , X. L. Sun , J. G. Lv , Y. G. Li

Optical readout of GEM based devices by means of high granularity and low noise CMOS sensors allows to obtain very interesting tracking performance. Space resolution of the order of tens of $\mu$m were measured on the GEM plane along with…

Thin leaves, fine stems, self-occlusion, non-rigid and slowly changing structures make plants difficult for three-dimensional (3D) scanning and reconstruction -- two critical steps in automated visual phenotyping. Many current solutions…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Chuong V Nguyen , Jurgen Fripp , David R Lovell , Robert Furbank , Peter Kuffner , Helen Daily , Xavier Sirault

Single-Photon Emission Computed Tomography (SPECT) is widely applied for the diagnosis of ischemic heart diseases. Low-dose (LD) SPECT aims to minimize radiation exposure but leads to increased image noise. Limited-angle (LA) SPECT enables…

Computer Vision and Pattern Recognition · Computer Science 2023-05-18 Xiongchao Chen , Bo Zhou , Huidong Xie , Xueqi Guo , Qiong Liu , Albert J. Sinusas , Chi Liu

The ramp filter kernel and cutoff frequency are fundamental parameters of the Feldkamp-Davis-Kress (FDK) algorithm that determine the resolution and noise characteristics of the reconstructed image. Despite their importance, systematic…

Medical Physics · Physics 2026-05-04 Falk L Wiegmann , Nancy L Ford

Cardiac segmentation of atriums, ventricles, and myocardium in computed tomography (CT) images is an important first-line task for presymptomatic cardiovascular disease diagnosis. In several recent studies, deep learning models have shown…

Image and Video Processing · Electrical Eng. & Systems 2024-10-01 Sanguk Park , Minyoung Chung

We present recent laboratory results demonstrating high-contrast coronagraphy for the future space-based large IR/Optical/Ultraviolet telescope recommended by the Decadal Survey. The High-contrast Imager for Complex Aperture Telescopes…

Advances in both instrumentation and data analysis software are now enabling the first ultra-high-resolution microcalorimeter gamma spectrometers designed for implementation in nuclear facilities and analytical laboratories. With…

Instrumentation and Detectors · Physics 2021-04-09 Mark Croce , Daniel Becker , Katrina E. Koehler , Joel Ullom

A new method for measuring \ngr cross sections aiming at enhanced signal-to-background ratio is presented. This new approach is based on the combination of the pulse-height weighting technique with a total energy detection system that…

Instrumentation and Detectors · Physics 2015-10-15 César Domingo-Pardo

To indirectly evaluate the asymmetry of the radiation drive under limited measurement conditions in inertial confinement fusion research, we have proposed an integral method to approximate the three-dimensional self-radiation distribution…

Plasma Physics · Physics 2020-12-02 Shijian Li , Qiangqiang Wang , Xian Wei , Zhurong Cao , Qing Zhao

Capsule endoscopy has enabled minimally invasive gastrointestinal imaging, but its clinical utility is limited by the inherently low resolution of captured images due to hardware, power, and transmission constraints. This limitation hampers…

Image and Video Processing · Electrical Eng. & Systems 2025-12-30 Haozhe Jia

Diffraction tomography (DT) has been widely explored in transmission-mode configurations, enabling high-resolution, label-free 3D imaging. However, industrial metrology applications, such as semiconductor inspection, typically involve…

Optics · Physics 2026-02-04 Jiabei Zhu , Tongyu Li , Hao Wang , Yi Shen , Guorong Hu , Lei Tian

Detection of photons with scintillating inorganic crystals in the high-energy range (> 0.1 MeV) will be discussed, making a comparison with other available methods. Energy resolutions up to 2 % at 662 keV and fast decay time of the order of…

Instrumentation and Detectors · Physics 2025-05-13 M. Bonesini

Dual phase Xenon Time Projection Chambers (XeTPCs) are being used by several experiments as a promising technique for direct detection of dark matter. We report on the design and performance of a small 3-D sensitive dual phase XeTPC. The…

Instrumentation and Detectors · Physics 2015-06-17 Qing Lin , Yuehuan Wei , Jie Bao , Jie Hu , Xinran Li , Wolfgang Lorenzon , Kaixuan Ni , Michael Schubnell , Mengjiao Xiao , Xiang Xiao