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Select item 79921351.

X-ray-Based Techniques to Study the Nano–Bio Interface

Carlos Sanchez-Cano, Ramon A. Alvarez-Puebla, John M. Abendroth, Tobias Beck, Robert Blick, Yuan Cao, Frank Caruso, Indranath Chakraborty, Henry N. Chapman, Chunying Chen, Bruce E. Cohen, Andre L. C. Conceição, David P. Cormode, Daxiang Cui, Kenneth A. Dawson, Gerald Falkenberg, Chunhai Fan, Neus Feliu, Mingyuan Gao, Elisabetta Gargioni, Claus-C. Glüer, Florian Grüner, Moustapha Hassan, Yong Hu, Yalan Huang, Samuel Huber, Nils Huse, Yanan Kang, Ali Khademhosseini, Thomas F. Keller, Christian Körnig, Nicholas A. Kotov, Dorota Koziej, Xing-Jie Liang, Beibei Liu, Sijin Liu, Yang Liu, Ziyao Liu, Luis M. Liz-Marzán, Xiaowei Ma, Andres Machicote, Wolfgang Maison, Adrian P. Mancuso, Saad Megahed, Bert Nickel, Ferdinand Otto, Cristina Palencia, Sakura Pascarelli, Arwen Pearson, Oula Peñate-Medina, Bing Qi, Joachim Rädler, Joseph J. Richardson, Axel Rosenhahn, Kai Rothkamm, Michael Rübhausen, Milan K. Sanyal, Raymond E. Schaak, Heinz-Peter Schlemmer, Marius Schmidt, Oliver Schmutzler, Theo Schotten, Florian Schulz, A. K. Sood, Kathryn M. Spiers, Theresa Staufer, Dominik M. Stemer, Andreas Stierle, Xing Sun, Gohar Tsakanova, Paul S. Weiss, Horst Weller, Fabian Westermeier, Ming Xu, Huijie Yan, Yuan Zeng, Ying Zhao, Yuliang Zhao, Dingcheng Zhu, Ying Zhu, Wolfgang J. Parak

ACS Nano. 2021 Mar 23; 15(3): 3754–3807. Published online 2021 Mar 2. doi: 10.1021/acsnano.0c09563

PMCID:: PMC7992135

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Select item 69157662.

Imaging of X-Ray-Excited Emissions from Quantum Dots and Biological Tissue in Whole Mouse

Sean G. Ryan, Matthew N. Butler, Segun S. Adeyemi, Tammy Kalber, P. Stephen Patrick, May Zaw Thin, Ian F. Harrison, Daniel J. Stuckey, Martin Pule, Mark F. Lythgoe

Sci Rep. 2019; 9: 19223. Published online 2019 Dec 16. doi: 10.1038/s41598-019-55769-5

PMCID:: PMC6915766

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Select item 87246863.

Recent Development in X-Ray Imaging Technology: Future and Challenges

Xiangyu Ou, Xue Chen, Xianning Xu, Lili Xie, Xiaofeng Chen, Zhongzhu Hong, Hua Bai, Xiaowang Liu, Qiushui Chen, Lin Li, Huanghao Yang

Research (Wash D C) 2021; 2021: 9892152. Published online 2021 Dec 26. doi: 10.34133/2021/9892152

PMCID:: PMC8724686

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Select item 85657984.

X-ray dark-field chest imaging for detection and quantification of emphysema in patients with chronic obstructive pulmonary disease: a diagnostic accuracy study

Konstantin Willer, Alexander A Fingerle, Wolfgang Noichl, Fabio De Marco, Manuela Frank, Theresa Urban, Rafael Schick, Alex Gustschin, Bernhard Gleich, Julia Herzen, Thomas Koehler, Andre Yaroshenko, Thomas Pralow, Gregor S Zimmermann, Bernhard Renger, Andreas P Sauter, Daniela Pfeiffer, Marcus R Makowski, Ernst J Rummeny, Philippe A Grenier, Franz Pfeiffer

Lancet Digit Health. 2021 Nov; 3(11): e733–e744. Published online 2021 Oct 25. doi: 10.1016/S2589-7500(21)00146-1

PMCID:: PMC8565798

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Select item 108320805.

A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review

Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar

BMC Med Imaging. 2024; 24: 30. Published online 2024 Feb 1. doi: 10.1186/s12880-024-01192-w

PMCID:: PMC10832080

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Select item 85186446.

The Diagnostic Value of an X‐ray‐based Scoring System for Degeneration of the Cervical Spine: A Reproducibility and Validation Study

Maarten van Eerd, Jacob Patijn, Daan Loeffen, Maarten van Kleef, Joachim Wildberger

Pain Pract. 2021 Sep; 21(7): 766–777. Published online 2021 May 18. doi: 10.1111/papr.13013

PMCID:: PMC8518644

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Select item 110529877.

Metal-Halide Perovskite Submicrometer-Thick Films for Ultra-Stable Self-Powered Direct X-Ray Detectors

Marco Girolami, Fabio Matteocci, Sara Pettinato, Valerio Serpente, Eleonora Bolli, Barbara Paci, Amanda Generosi, Stefano Salvatori, Aldo Di Carlo, Daniele M. Trucchi

Nanomicro Lett. 2024 Dec; 16: 182. Published online 2024 Apr 26. doi: 10.1007/s40820-024-01393-6

PMCID:: PMC11052987

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Select item 94281408.

Organic phosphorescent nanoscintillator for low-dose X-ray-induced photodynamic therapy

Xiao Wang, Wenjing Sun, Huifang Shi, Huili Ma, Guowei Niu, Yuxin Li, Jiahuan Zhi, Xiaokang Yao, Zhicheng Song, Lei Chen, Shi Li, Guohui Yang, Zixing Zhou, Yixiao He, Shuli Qu, Min Wu, Zhu Zhao, Chengzhu Yin, Chongyang Lin, Jia Gao, Qiuying Li, Xu Zhen, Lin Li, Xiaoyuan Chen, Xiaogang Liu, Zhongfu An, Hongmin Chen, Wei Huang

Nat Commun. 2022; 13: 5091. Published online 2022 Aug 30. doi: 10.1038/s41467-022-32054-0

PMCID:: PMC9428140

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Select item 88727739.

Dark-field computed tomography reaches the human scale

Manuel Viermetz, Nikolai Gustschin, Clemens Schmid, Jakob Haeusele, Maximilian von Teuffenbach, Pascal Meyer, Frank Bergner, Tobias Lasser, Roland Proksa, Thomas Koehler, Franz Pfeiffer

Proc Natl Acad Sci U S A. 2022 Feb 22; 119(8): e2118799119. Published online 2022 Feb 7. doi: 10.1073/pnas.2118799119

PMCID:: PMC8872773

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Select item 1088434010.

X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones

Salvatore Gitto, Alessio Annovazzi, Kitija Nulle, Matteo Interlenghi, Christian Salvatore, Vincenzo Anelli, Jacopo Baldi, Carmelo Messina, Domenico Albano, Filippo Di Luca, Elisabetta Armiraglio, Antonina Parafioriti, Alessandro Luzzati, Roberto Biagini, Isabella Castiglioni, Luca Maria Sconfienza

eBioMedicine. 2024 Mar; 101: 105018. Published online 2024 Feb 19. doi: 10.1016/j.ebiom.2024.105018

PMCID:: PMC10884340

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Select item 983842511.

Changes in Radiologists’ Gaze Patterns Against Lung X-rays with Different Abnormalities: a Randomized Experiment

Ilya Pershin, Tamerlan Mustafaev, Dilyara Ibragimova, Bulat Ibragimov

J Digit Imaging. 2023 Jun; 36(3): 767–775. Published online 2023 Jan 9. doi: 10.1007/s10278-022-00760-2

PMCID:: PMC9838425

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Select item 1074448512.

Synthetic 3D Spinal Vertebrae Reconstruction from Biplanar X-rays Utilizing Generative Adversarial Networks

Babak Saravi, Hamza Eren Guzel, Alisia Zink, Sara Ülkümen, Sebastien Couillard-Despres, Jakob Wollborn, Gernot Lang, Frank Hassel

J Pers Med. 2023 Dec; 13(12): 1642. Published online 2023 Nov 24. doi: 10.3390/jpm13121642

PMCID:: PMC10744485

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Select item 561194513.

Lumbar Spine X-Ray as a Standard Investigation for all Low back Pain in Ghana: Is It Evidence Based?

Abena Y Tannor

Ghana Med J. 2017 Mar; 51(1): 24–29. doi: 10.4314/gmj.v51i1.5

PMCID:: PMC5611945

Article PDF–206K

Select item 783186814.

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Luca Brunese, Francesco Mercaldo, Alfonso Reginelli, Antonella Santone

Comput Methods Programs Biomed. 2020 Nov; 196: 105608. Published online 2020 Jun 20. doi: 10.1016/j.cmpb.2020.105608

PMCID:: PMC7831868

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Select item 813457015.

X-ray fan beam coded aperture transmission and diffraction imaging for fast material analysis

Stefan Stryker, Joel A. Greenberg, Shannon J. McCall, Anuj J. Kapadia

Sci Rep. 2021; 11: 10585. Published online 2021 May 19. doi: 10.1038/s41598-021-90163-0

PMCID:: PMC8134570

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Select item 914494316.

Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques

Nadiah Baghdadi, Ahmed S. Maklad, Amer Malki, Mohanad A. Deif

Sensors (Basel) 2022 May; 22(10): 3846. Published online 2022 May 19. doi: 10.3390/s22103846

PMCID:: PMC9144943

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Select item 875854317.

Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms

Stefan Stryker, Anuj J. Kapadia, Joel A. Greenberg

Med Phys. Author manuscript; available in PMC 2023 Jan 1.

Published in final edited form as: Med Phys. 2022 Jan; 49(1): 532–546. Published online 2021 Dec 1. doi: 10.1002/mp.15366

PMCID:: PMC8758543

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Select item 954639318.

Innovations in thoracic imaging: CT, radiomics, AI and x‐ray velocimetry

Rozemarijn Vliegenthart, Andreas Fouras, Colin Jacobs, Nickolas Papanikolaou

Respirology. 2022 Oct; 27(10): 818–833. Published online 2022 Aug 14. doi: 10.1111/resp.14344

PMCID:: PMC9546393

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Select item 728572519.

What scans we will read: imaging instrumentation trends in clinical oncology

Thomas Beyer, Luc Bidaut, John Dickson, Marc Kachelriess, Fabian Kiessling, Rainer Leitgeb, Jingfei Ma, Lalith Kumar Shiyam Sundar, Benjamin Theek, Osama Mawlawi

Cancer Imaging. 2020; 20: 38. Published online 2020 Jun 9. doi: 10.1186/s40644-020-00312-3

PMCID:: PMC7285725

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Select item 856644420.

Quantitative X-ray phase contrast computed tomography with grating interferometry: Biomedical applications of quantitative X-ray grating-based phase contrast computed tomography

Lorenz Birnbacher, Eva-Maria Braig, Daniela Pfeiffer, Franz Pfeiffer, Julia Herzen

Eur J Nucl Med Mol Imaging. 2021; 48(13): 4171–4188. Published online 2021 Apr 13. doi: 10.1007/s00259-021-05259-6

PMCID:: PMC8566444

Article PDF–5.1M

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PMC Images search for x ray view box

Figure 6Anteroposterior view of chest X-ray.

The anteroposterior view of a chest X-ray showed the presence of a bifid fifth rib on the left side (white box).

Gorlin-Goltz Syndrome: A Case Report and Literature Review

Cureus. 2019 Jan;11(1):e3849.
Figure 1Typical x-ray spectra from collisions of Xeq <29+ ions with a Zn target at 1500 keV, 2000 keV and 3500 keV (from bottom to top).

The insert graph shows a zoomed-in view of the x-ray spectral structure in the dotted box. M: MO x-ray band; EPE: end point energy; R₁ and R₂: radiative Auger effect peaks; C₁, C₂, C₃, C₄, and C₅: Ll, Lα, Lβ₁, Lβ₂ and Lγ x-ray peaks, respectively, of Xe^q+ ions.

The continuous and discrete molecular orbital x-ray bands from Xeq+ (12≤q≤29) +Zn collisions

Sci Rep. 2016;6:30644.
Figure 5

The spatial profile of the T-jump as seen by the X-ray beam. (a) Simulated T-jump and (b) observed T-jump over a section of the capillary. The grey box marks the approximate size of the X-ray spot and where it would be positioned during regular data acquisition. (c) Zoomed-in view of the grey box, showing the T-gradient of the probed volume.

A setup for millisecond time-resolved X-ray solution scattering experiments at the CoSAXS beamline at the MAX IV Laboratory

J Synchrotron Radiat. 2022 Mar 1;29(Pt 2):555-562.
Fig. 4

Binding of the outer coat. a Fitted inner coat atomic model superimposed to its difference map with the cryo-EM density (Gaussian filtered). Dashed box: a region on Sec24 that was not resolved in the X-ray structure. Pink box: unassigned extra density corresponding to the Sec31 catalytic residues (WN) binding site. Orange box: unassigned extra density corresponding to the Sec31 tri-proline binding site. b Side view of a, where the membrane is also visible in the difference density map. c Detailed view of the region in the pink box, where the atomic model has been overlaid with the X-ray structure of the Sec31 active fragment (light pink, PDB 2QTV), and the density unoccupied by Sar1 and Sec23 is shaded in pink. Residues WN (922–923) are highlighted in red. d Detailed view of the region in the orange box, where the atomic model has been overlaid with the X-ray structure of the TANGO1 PPP motif (red, PDB 5KYW), and the density unoccupied by Sec23 is shaded in orange

Subtomogram averaging of COPII assemblies reveals how coat organization dictates membrane shape

Nat Commun. 2018;9:4154.