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X-ray tomography has become an indispensable tool for studying complex 3D interior structures with high spatial resolution. Three-dimensional imaging using soft X-rays offers powerful contrast mechanisms but has seen limited success with tomography due to the restrictions imposed by the much lower energy of the probe beam. The generalized geometry of laminography, characterized by a tilted axis of rotation, provides nm-scale 3D resolution for the investigation of extended (mm range) but thin (μm to nm) samples that are well suited to soft X-ray studies. This work reports on the implementation of soft X-ray laminography (SoXL) at the scanning transmission X-ray spectromicroscope of the PolLux beamline at the Swiss Light Source, Paul Scherrer Institut, which enables 3D imaging of extended specimens from 270 to 1500 eV. Soft X-ray imaging provides contrast mechanisms for both chemical sensitivity to molecular bonds and oxidation states and magnetic dichroism due to the much stronger attenuation of X-rays in this energy range. The presented examples of applications range from functionalized nanomaterials to biological photonic crystals and sophisticated nanoscaled magnetic domain patterns, thus illustrating the wide fields of research that can benefit from SoXL.
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http://dx.doi.org/10.1021/acs.nanolett.9b04782 | DOI Listing |
Rev Sci Instrum
September 2025
Attosecond Science Research Team, RIKEN Center for Advanced Photonics, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
We have developed a vacuum-compatible liquid flat-jet apparatus that delivers stable, sub-micrometer sheets for soft-x-ray spectroscopy. Interchangeable PEEKsil microjets (ϕ 25-100 μm) collide to form a leaf-like jet that runs reproducibly for more than 6 h at ∼0.1 Pa.
View Article and Find Full Text PDFMalignant phyllodes tumors of the breast are rare fibroepithelial neoplasms with aggressive behavior and high recurrence rates. They pose significant diagnostic and therapeutic challenges due to their overlap with other malignancies, necessitating accurate diagnosis and a tailored treatment approach to improve patient outcomes. A 29-year-old Asian female initially underwent a lumpectomy for a right breast mass diagnosed as a phyllodes tumor on histopathology.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Gastroenterology, Shaanxi Provincial People's Hospital, Xi'an, China.
Background: Azygos vein aneurysm (AVA) is a rare thoracic pathology that is frequently misdiagnosed. While contrast-enhanced chest computed tomography (CT) or magnetic resonance imaging (MRI) can delineate AVA location and size, these techniques lack the capability for dynamic real-time assessment of internal architecture.
Case Presentation: We present a highly unusual case of a 67-year-old woman who had an isolated azygos vein aneurysm presenting with dysphagia.
Cureus
August 2025
School of Medicine, University of Costa Rica, San José, CRI.
Hibernomas are infrequent brown adipose tissue tumors that can mimic various other soft tissue tumors, both malignant and benign, and multiple imaging modalities are usually used in the diagnostic approach. We present the case of a 30-year-old female patient who was initially diagnosed with a mediastinal hibernoma through complete excisional biopsy in 2022 and underwent surgical resection at that time. She required a second surgical intervention in 2024 due to recurrence and is now being evaluated for a second recurrence using fluorine-18 fluorodeoxyglucose positron-emission tomography/computed tomography (18F-FDG PET/CT), reporting an extensive polylobulated mediastinal tumor intercalating normometabolic and discretely hypermetabolic zones.
View Article and Find Full Text PDFCureus
August 2025
Department of Orthopaedic Surgery, Teikyo University School of Medicine, Tokyo, JPN.
Osteoporosis is a common condition, and treatment can reduce the risk of fracture and extend healthy life expectancy, but most cases go undiagnosed and untreated. Dual-energy X-ray absorptiometry (DXA), the gold standard for diagnosing osteoporosis, is costly, time-consuming, and labor-intensive, with limited availability in low-resource settings and small clinics, so it is not suitable for screening for potential osteoporosis. To address this problem, in recent years, some studies have attempted to screen for osteoporosis by estimating DXA bone mineral density (BMD) from chest radiographs (CR), which are frequently used in daily clinical practice, by applying deep learning technology.
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