Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
An all-optical framing camera has been developed which measures the spatial profile of photons flux by utilizing a laser beam to probe the refractive index change in an indium phosphide semiconductor. This framing camera acquires two frames with the time resolution of about 1.5 ns and the inter frame separation time of about 13 ns by angularly multiplexing the probe beam on to the semiconductor. The spatial resolution of this camera has been estimated to be about 140 μm and the spectral response of this camera has also been theoretically investigated in 5 eV-100 KeV range. This camera has been applied in investigating the imploding dynamics of the molybdenum planar wire array Z-pinch on the 1-MA "QiangGuang-1" facility. This framing camera can provide an alternative scheme for high energy density physics experiments.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1364/OE.25.032074 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Efficient spatio-temporal modeling for sign language recognition using CNN and RNN architectures.
Front Artif Intell
August 2025
School of Computation and Communication Science and Engineering, The Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Computer vision has been identified as one of the solutions to bridge communication barriers between speech-impaired populations and those without impairment as most people are unaware of the sign language used by speech-impaired individuals. Numerous studies have been conducted to address this challenge. However, recognizing word signs, which are usually dynamic and involve more than one frame per sign, remains a challenge.
View Article and Find Full Text PDFMiniatured dual-field microscope for intelligent Marine algae detection, sizing and counting in a microfluidic chip.
Anal Chim Acta
November 2025
Marine Engineering College, Dalian Maritime University, Dalian, 116026, China. Electronic address:
On-site and accurately detecting, sizing and counting living algae are greatly needed under International Ballast Water Convention, yet still challenging due to the lack of miniatured device. In this paper, a miniatured microscope that has both blue view field and fluorescence field was developed. Dual-view-field with one exciting light is achieved by using a beam splitter to direct the light into two mini cameras.
View Article and Find Full Text PDFIntroducing surgical workflow recognition in orthopaedic surgery with timestamp supervision.
Comput Biol Med
September 2025
University of Strasbourg, CNRS, INSERM, ICube, UMR7357, 300 boulevard Sébastien Brant, Illkirch, 67412, France. Electronic address:
Surgical workflow recognition (SWR) is associated with numerous potential applications to improve patient safety and surgeon performance. So far, SWR studies have mainly focused on endoscopic procedures due to the scarcity of publicly available open surgery video datasets. In this article, we propose for the first time to work on an open orthopaedic surgery called minimally invasive plate osteosynthesis (MIPO) for distal radius fractures (DRFs).
View Article and Find Full Text PDFAssessing single camera markerless motion capture with OpenSim inverse kinematics during upper limb activities of daily living.
Int Biomech
December 2025
School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
This study evaluates the accuracy of single camera markerless motion capture (SCMoCap) using Microsoft's Azure Kinect, enhanced with inverse kinematics (IK) via OpenSim, for upper limb movement analysis. Twelve healthy adults performed ten upper-limb tasks, recorded simultaneously by OptiTrack (marker-based) and Azure Kinect (markerless) from frontal and sagittal views. Joint angles were calculated using two methods: (1) direct kinematics based on body coordinate frames and (2) inverse kinematics using OpenSim's IK tool with anatomical keypoints.
View Article and Find Full Text PDFAn End-to-End Depth-Based Pipeline for Selfie Image Rectification.
IEEE Trans Pattern Anal Mach Intell
September 2025
Portraits or selfie images taken from a close distance typically suffer from perspective distortion. In this paper, we propose an end-to-end deep learning-based rectification pipeline to mitigate the effects of perspective distortion. We learn to predict the facial depth by training a deep CNN.
View Article and Find Full Text PDF