scholarly journals An Attosecond Soft x-ray Nanoprobe: New Technology for Molecular Imaging

10.5772/7962 ◽  
2010 ◽  
Author(s):  
Sarah L ◽  
Jeremy G ◽  
William S
Keyword(s):  
Molecular Imaging ◽  
New Technology ◽  
X Ray

scholarly journals Soft X-Ray Microscopy; A New Technology for Examination of Parasitic Specimens

2003 ◽  
Vol 9 (S02) ◽  
pp. 1452-1453 ◽  
Author(s):  
W. J. Kozek ◽  
A. Nair ◽  
G. Denbeaux ◽  
C. Larabell ◽  
J. Brown ◽  
...  
Keyword(s):  
New Technology ◽  
X Ray

Iron Oxide Catalyst for Oxidative Desulfurization of Model Diesel Fuel

2020 ◽  
Vol 1010 ◽  
pp. 418-423
Author(s):  
Nor Atiq Syakila Mohd Nazmi ◽  
Wan Nazwanie Wan Abdullah ◽  
Farook Adam ◽  
Wan Nur Aini Wan Mokhtar ◽  
Noor Fatimah Yahaya ◽  
...  
Keyword(s):  
Iron Oxide ◽  
New Technology ◽  
Oxidative Desulfurization ◽  
Impregnation Method ◽  
X Ray ◽  
Diesel Fuels ◽  
Extraction Solvent ◽  
Tert Butyl Hydroperoxide ◽  
Catalytic Oxidative Desulfurization ◽  
Model Diesel

— The catalytic oxidative desulfurization (Cat-ODS) process has been introduced as a new technology to achieve ultra-low sulphur levels in diesel fuels. In this study, the performance of the alumina supported iron oxide based catalysts doped with cobalt, synthesized via wet impregnation method on the Cat-ODS of the model diesel with the total sulphur 500ppm was investigated using tert-butyl hydroperoxide (TBHP) as an oxidizing agent and N,N-dimethylformamide as an extraction solvent. A series of dopant was being screened. Co/Fe-Al2O3 (10:90) and Co/Fe-Al2O3 (20:80) prepared at 400°C. Overall, the catalytic activity decreased as dopant ratio increased. Catalyst with 10 wt% of Co was successfully removed 96% of thiophene, 100% of DBT and 92% of 4,6-DMDBT in model diesel. Further investigation, potential catalyst that calcined at 400°C contributed higher sulphur removal compared to the catalyst calcined at 500°C. X-ray diffraction analysis (XRD) result showed that Co/Fe-Al2O3 (10:90) prepared at 400°C was amorphous, while micrograph of the field emission scanning electron microscopy (FESEM) illustrated an inhomogeneous distribution of various particle sizes. The energy dispersive X-ray analysis (EDX) result have confirmed the presence of Fe and Co in all of the prepared catalyst.

Optical molecular imaging-guided radiation therapy part 1: Integrated x-ray and bioluminescence tomography

2017 ◽  
Vol 44 (9) ◽  
pp. 4786-4794 ◽  
Author(s):  
Junwei Shi ◽  
Thirupandiyur S. Udayakumar ◽  
Zhiqun Wang ◽  
Nesrin Dogan ◽  
Alan Pollack ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Molecular Imaging ◽  
Optical Molecular Imaging ◽  
Bioluminescence Tomography ◽  
X Ray

Monte-Carlo simulations of a coded-aperture x-ray scatter imaging system for molecular imaging

2013 ◽  
Author(s):  
Anuj J. Kapadia ◽  
Manu N. Lakshmanan ◽  
Kalyani Krishnamurthy ◽  
Pooyan Sahbaee ◽  
Amarpreet Chawla ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Molecular Imaging ◽  
Monte Carlo Simulations ◽  
Imaging System ◽  
Coded Aperture ◽  
X Ray

Dual-Modality Molecular Imaging for Small Animals Using Fluorescence and X-Ray Computed Tomography

2009 ◽  
Author(s):  
Yuting Lin ◽  
William C. Barber ◽  
Jan S. Iwanczk ◽  
Einar Nygard ◽  
Nail Malakov ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Molecular Imaging ◽  
Small Animals ◽  
X Ray ◽  
Dual Modality ◽  
X Ray Computed

Cinématographie ultrarapide dans le domaine des courtes longueurs d'onde

1994 ◽  
Vol 72 (11-12) ◽  
pp. 818-821
Author(s):  
C. Y. Côté ◽  
M. Nantel ◽  
J. Gauthier ◽  
J. C. Kieffer
Keyword(s):  
Temporal Evolution ◽  
New Technology ◽  
X Ray

We present some recent results on the temporal evolution of X-ray images and spectra of laser produced plasmas. These results illustrate our progress in the development of a new technology for subpicosecond cinematography. We discuss the perspectives of such a technology for the control and optimization of ultrashort X-ray sources.[Journal translation]

Computed Tomography for Application in Manufacturing Metrology

2010 ◽  
Vol 437 ◽  
pp. 73-78 ◽  
Author(s):  
Albert Weckenmann ◽  
Philipp Krämer
Keyword(s):  
Computed Tomography ◽  
New Technology ◽  
Optical Measurements ◽  
High Point ◽  
X Ray ◽  
Point Density ◽  
Measurement Object ◽  
X Ray Computed ◽  
Volumetric Model

As a rather new technology, X-Ray Computed Tomography offers new and promising possibilities in manufacturing metrology in comparison to well-established tactile or optical measurements. The main benefit is the volumetric model which results of each measurement and represents the measurement object holistically with high point density.

Applications of Environmental Scanning Electron Microscopy in Art Conservation and Archaeology

1990 ◽  
Vol 185 ◽  
Author(s):  
Dusan Stulik ◽  
Eric Doehne
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Electron Micrographs ◽  
New Technology ◽  
Environmental Scanning Electron Microscopy ◽  
Environmental Scanning ◽  
Art Conservation ◽  
Pilot Studies ◽  
X Ray ◽  
Scanning Electron

AbstractThe principles of Environmental Scanning Electron Microscopy (E-SEM) are explained and discussed. The performance of the E-SEM compares favorably with the performance of traditional SEM instruments. This new technology has significant advantages in art conservation and archaeology. In this paper we describe several pilot studies which explored potential uses of the E-SEM. Electron micrographs recorded from moist, outgassing, and difficult to coat samples are presented, together with X-ray spectra recorded from uncoated samples of electrically nonconductive materials.

scholarly journals The Evaluation of Deep Neural Networks and X-Ray as a Practical Alternative for Diagnosis and Management of COVID-19

2020 ◽  
Author(s):  
Mohamed Elgendi ◽  
Rich Fletcher ◽  
Newton Howard ◽  
Carlo Menon ◽  
Rabab Ward
Keyword(s):  
Neural Network ◽  
New Technology ◽  
Network Size ◽  
Front Line ◽  
High Resolution Computed Tomography ◽  
Training Time ◽  
X Ray ◽  
Diagnosis And Management ◽  
Diagnostic Technology ◽  
Time Accuracy

High-resolution computed tomography radiology is a critical tool in the diagnosis and management of COVID-19 infection; however, in smaller clinics around the world, there is a shortage of radiologists available to analyze these images. In this paper, we compare the performance of 16 available deep learning algorithms to help identify COVID19. We utilize an already existing diagnostic technology (X-ray) and an already existing neural network (ResNet-50) to diagnose COVID-19. Our approach eliminates the extra time and resources needed to develop new technology and associated algorithm, thus aiding the front-line in the race against the COVID-19 pandemic. Results show that ResNet-50 is the optimal pretrained neural network for the detection of COVID-19, using three different cross-validation ratios, based on training time, accuracy, and network size. We also present a custom visualization of the results that can be used to highlight important visual biomarkers of the disease and disease progression.

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