Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

S Carter, R Clough, A Fisher, B Gibson… - Journal of Analytical …, 2022 - pubs.rsc.org
This update covers the literature published between approximately June 2021 and May
2022 and is the latest part of a series of annual reviews. It is designed to provide the reader …

Full-field in vivo imaging of nanoparticles using benchtop cone-beam XFCT system with pixelated photon counting detector

L Li, S Zhang, W Zhang, H Lu - Physics in Medicine & Biology, 2023 - iopscience.iop.org
Objective. X-ray fluorescence computed tomography (XFCT) is a promising noninvasive
technique for in vivo imaging of high-Z elements (eg gadolinium (Gd) or gold (Au)). In this …

Dual imaging modality of fluorescence and transmission X‐rays for gold nanoparticle‐injected living mice

T Kim, WS Lee, M Jeon, H Kim, M Eom, S Jung… - Medical …, 2023 - Wiley Online Library
Background X‐ray fluorescence (XRF) imaging for metal nanoparticles (MNPs) is a
promising molecular imaging modality that can determine dynamic biodistributions of MNPs …

MA-XRF datasets analysis based on convolutional neural network: A case study on religious panel paintings

T Gerodimos, I Georvasilis, A Asvestas… - Chemometrics and …, 2024 - Elsevier
Macroscopic X-ray fluorescence (MA-XRF) datasets are analyzed using Artificial Neural
Networks. Specifically, Convolutional Neural Networks (CNNs) are trained by coupling the …

Monte Carlo modeling of gold nanoparticles detection limits of benchtop three‐dimensional L‐and K‐shell X‐ray fluorescence map** systems

S Jung - X‐Ray Spectrometry, 2023 - Wiley Online Library
This study aims to investigate the detection limits of gold nanoparticle (GNP) concentrations
by Monte Carlo (MC) modeling of benchtop polychromatic K‐and L‐shell X‐ray fluorescence …

Reduction of Compton background noise for X-ray fluorescence computed tomography with deep learning

P Feng, Y Luo, R Zhao, P Huang, Y Li, P He, B Tang… - Photonics, 2022 - mdpi.com
For bench-top X-ray fluorescence computed tomography (XFCT), the X-ray tube source will
bring extreme Compton background noise, resulting in a low signal-to-noise ratio and low …

[PDF][PDF] Reduction of Compton Background Noise for X-ray Fluorescence Computed Tomography with Deep Learning. Photonics 2022, 9, 108

P Feng, Y Luo, R Zhao, P Huang, Y Li, P He, B Tang… - 2022 - ndt.net
For bench-top X-ray fluorescence computed tomography (XFCT), the X-ray tube source will
bring extreme Compton background noise, resulting in a low signal-to-noise ratio and low …

[BUCH][B] Functional X-ray Imaging for Preclinical Applications

IO Romero - 2022 - search.proquest.com
In a typical X-ray imaging, an image is formed based on X-ray beam attenuation. The most
common form of X-ray imaging is computed tomography (CT) which allows us to view the …

[PDF][PDF] 基于噪声水**估计的多孔准直 X 射线荧光 CT 去噪算法

赵如歌, 冯鹏, 罗燕, 张颂, 何鹏, 刘亚楠 - Acta Optica Sinica, 2023 - researching.cn
摘要X 射线荧光CT (XFCT) 是X 射线CT 与X 射线荧光分析相结合的新型成像方式,
可用于探测被修饰后的纳米金颗粒在肿瘤内部的分布及质量分数, 在早期癌症诊疗方面具有较好 …

[PDF][PDF] Nanodosimetry around the Metal Nanoparticle: A Monte Carlo Study

T Kim, RH Millares, T Kim, M Eoma, J Kim, SJ Ye - kns.org
Metal nanoparticles(MNPs) labeled with radioisotopes (RIs) are employed as radio-
enhancers due to their capacity to increase the radiation dose in their immediate …