In-Situ/Operando Synchrotron X-ray Imaging Techniques for Energy-Related Applications

2021 ◽  
pp. 223-247
Author(s):  
Lei Du ◽  
Nan Sun ◽  
Yajie Song ◽  
Hanwen An ◽  
Jian Liu
Keyword(s):  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging

scholarly journals ID16B: a hard X-ray nanoprobe beamline at the ESRF for nano-analysis

2016 ◽  
Vol 23 (1) ◽  
pp. 344-352 ◽  
Author(s):  
Gema Martínez-Criado ◽  
Julie Villanova ◽  
Rémi Tucoulou ◽  
Damien Salomon ◽  
Jussi-Petteri Suuronen ◽  
...  
Keyword(s):  
Imaging Techniques ◽  
X Ray Diffraction ◽  
X Ray ◽  
Research Areas ◽  
Technical Developments ◽  
X Ray Imaging ◽  
Scientific Results ◽  
X Ray Absorption ◽  
New Facility

Within the framework of the ESRF Phase I Upgrade Programme, a new state-of-the-art synchrotron beamline ID16B has been recently developed for hard X-ray nano-analysis. The construction of ID16B was driven by research areas with major scientific and societal impact such as nanotechnology, earth and environmental sciences, and bio-medical research. Based on a canted undulator source, this long beamline provides hard X-ray nanobeams optimized mainly for spectroscopic applications, including the combination of X-ray fluorescence, X-ray diffraction, X-ray excited optical luminescence, X-ray absorption spectroscopy and 2D/3D X-ray imaging techniques. Its end-station re-uses part of the apparatus of the earlier ID22 beamline, while improving and enlarging the spectroscopic capabilities: for example, the experimental arrangement offers improved lateral spatial resolution (∼50 nm), a larger and more flexible capability forin situexperiments, and monochromatic nanobeams tunable over a wider energy range which now includes the hard X-ray regime (5–70 keV). This paper describes the characteristics of this new facility, short-term technical developments and the first scientific results.

Low-dose phase-based X-ray imaging techniques for in situ soft tissue engineering assessments

Biomaterials ◽  
2016 ◽  
Vol 82 ◽  
pp. 151-167 ◽  
Author(s):  
Zohreh Izadifar ◽  
Ali Honaramooz ◽  
Sheldon Wiebe ◽  
George Belev ◽  
Xiongbiao Chen ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Soft Tissue ◽  
Low Dose ◽  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging ◽  
Soft Tissue Engineering

scholarly journals Synchrotron X-ray imaging and ultrafast tomography in situ study of the fragmentation and growth dynamics of dendritic microstructures in solidification under ultrasound

2021 ◽  
pp. 116796
Author(s):  
Zhiguo Zhang ◽  
Chuangnan Wang ◽  
Billy Koe ◽  
Christian M. Schlepütz ◽  
Sarah Irvine ◽  
...  
Keyword(s):  
Growth Dynamics ◽  
X Ray ◽  
In Situ Study ◽  
X Ray Imaging ◽  
Dendritic Microstructures

scholarly journals X-Ray Imaging Techniques Appraisal: Pathway to Sustainable Health Status

2021 ◽  
Vol 655 (1) ◽  
pp. 012073
Author(s):  
J. A. Achuka ◽  
M. R. Usikalu ◽  
M. A. Aweda ◽  
O. A. Olowoyeye ◽  
C. A. Enemuwe ◽  
...  
Keyword(s):  
Health Status ◽  
Imaging Techniques ◽  
X Ray ◽  
X Ray Imaging ◽  
Sustainable Health

scholarly journals A novel experimental setup for in situ optical and X-ray imaging of laser sintering of polymer particles

2019 ◽  
Vol 90 (8) ◽  
pp. 083905 ◽  
Author(s):  
Prakhyat Hejmady ◽  
Lucien C. Cleven ◽  
Lambèrt C. A. van Breemen ◽  
Patrick D. Anderson ◽  
Ruth Cardinaels
Keyword(s):  
Laser Sintering ◽  
Experimental Setup ◽  
Polymer Particles ◽  
X Ray ◽  
X Ray Imaging

scholarly journals Ammonothermal Synthesis of Earth-Abundant Nitride Semiconductors ZnSiN2 and ZnGeN2 and Dissolution Monitoring by In Situ X-ray Imaging

2017 ◽  
Vol 23 (50) ◽  
pp. 12275-12282 ◽  
Author(s):  
Jonas Häusler ◽  
Saskia Schimmel ◽  
Peter Wellmann ◽  
Wolfgang Schnick
Keyword(s):  
Nitride Semiconductors ◽  
X Ray ◽  
X Ray Imaging ◽  
Earth Abundant

scholarly journals In Situ Analysis of Laser Powder Bed Fusion Using Simultaneous High-Speed Infrared and X-ray Imaging

JOM ◽  
2020 ◽  
Vol 73 (1) ◽  
pp. 201-211 ◽  
Author(s):  
Benjamin Gould ◽  
Sarah Wolff ◽  
Niranjan Parab ◽  
Cang Zhao ◽  
Maria Cinta Lorenzo-Martin ◽  
...  
Keyword(s):  
High Speed ◽  
In Situ Analysis ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
X Ray ◽  
X Ray Imaging

scholarly journals Truncated Inception Net: COVID-19 Outbreak Screening using Chest X-rays

2020 ◽  
Author(s):  
Dipayan Das ◽  
KC Santosh ◽  
Umapada Pal
Keyword(s):  
Neural Network ◽  
World Wide ◽  
Imaging Techniques ◽  
Imaging Systems ◽  
Ct Scans ◽  
X Rays ◽  
X Ray ◽  
X Ray Imaging ◽  
Proposed Model ◽  
Different Types

Abstract Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in less than a couple of months, and the infection, caused by SARS-CoV-2, is spreading at an unprecedented rate. AI-driven tools are used to identify Coronavirus outbreaks as well as forecast their nature of spread, where imaging techniques are widely used, such as CT scans and chest X-rays (CXRs). In this paper, motivated by the fact that X-ray imaging systems are more prevalent and cheaper than CT scan systems, a deep learning-based Convolutional Neural Network (CNN) model, which we call Truncated Inception Net, is proposed to screen COVID-19 positive CXRs from other non-COVID and/or healthy cases. To validate our proposal, six different types of datasets were employed by taking the following CXRs: COVID-19 positive, Pneumonia positive, Tuberculosis positive, and healthy cases into account. The proposed model achieved an accuracy of 99.96% (AUC of 1.0) in classifying COVID- 19 positive cases from combined Pneumonia and healthy cases. Similarly, it achieved an accuracy of 99.92% (AUC of 0.99) in classifying COVID-19 positive cases from combined Pneumonia, Tuberculosis and healthy CXRs. To the best of our knowledge, as of now, the achieved results outperform the existing AI-driven tools for screening COVID-19 using CXRs.

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