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There are several reports in the scientific literature of the use of mass-produced charge coupled device or complementary metal oxide semiconductor (CMOS) sensors as x-ray detectors that combine high spatial resolution with significant energy resolution. Exploiting a relatively new especially favorable ambient-temperature back-illuminated CMOS sensor, we report the development of a spectroscopic x-ray camera having particularly impressive performance for 2-6 keV photons. This instrument has several beneficial characteristics for advanced x-ray spectroscopy studies in the laboratory, at synchrotron light sources, at x-ray free electron lasers, or when using pulsed x-ray sources such as for laser plasma physics research. These characteristics include fine position and energy resolution for individual photon events, high saturation rates, frame rates above 100 Hz, easy user maintenance for damaged sensors, and software for real-time processing. We evaluate this camera as an alternative to traditional energy-dispersive solid-state detectors, such as silicon drift detectors, and also illustrate its use in a very high resolution wavelength-dispersive x-ray fluorescence spectrometer (i.e., x-ray emission spectrometer) that has recently been reported elsewhere [W. M. Holden , Rev. Sci. Instrum. (7), 073904 (2017)].
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http://dx.doi.org/10.1063/1.5047934 | DOI Listing |
Cureus
September 2025
Department of Urology, Gunma University School of Medicine, Maebashi, JPN.
Syphilis cases are increasing in Japan, highlighting the urgent need for rapid and accurate diagnosis. In primary syphilis, serological tests may yield negative results, so direct microscopic observation of remains an important but often underused diagnostic method. We present a simple, widely accessible phase-contrast microscopy system, featuring a USB camera and monitor, enabling high-clarity, real-time observation of live wild-type treponemes directly from patient lesions.
View Article and Find Full Text PDFNeurology
September 2025
Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Background And Objectives: Multiple sclerosis (MS) is common in adults while myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is rare. Our previous machine-learning algorithm, using clinical variables, ≤6 brain lesions, and no Dawson fingers, achieved 79% accuracy, 78% sensitivity, and 80% specificity in distinguishing MOGAD from MS but lacked validation. The aim of this study was to (1) evaluate the clinical/MRI algorithm for distinguishing MS from MOGAD, (2) develop a deep learning (DL) model, (3) assess the benefit of combining both, and (4) identify key differentiators using probability attention maps (PAMs).
View Article and Find Full Text PDFMed Phys
August 2025
QuantIF AIMS, University of Rouen, Rouen, France.
Background: Patient-specific dosimetry in radiopharmaceutical therapy (RPT) offers a promising approach to optimize the balance between treatment efficacy and toxicity. The introduction of 360° CZT gamma cameras enables the development of personalized dosimetry studies using whole-body single photon emission computed tomography and computed tomography (SPECT/CT) data.
Purpose: This study proposes to validate the collapsed-cone superposition (CCS) approach against Monte Carlo (MC) simulations for whole-body dosimetry of [177Lu]Lu-PSMA-617 therapy in patients with metastatic castration resistant prostate cancer (mCRPC).
Med Image Anal
August 2025
Center for Research in Computer Vision, University of Central Florida, United States.
Leukemia is the 10th most frequently diagnosed cancer and one of the leading causes of cancer-related deaths worldwide. Realistic analysis of leukemia requires white blood cell (WBC) localization, classification, and morphological assessment. Despite deep learning advances in medical imaging, leukemia analysis lacks a large, diverse multi-task dataset, while existing small datasets lack domain diversity, limiting real-world applicability.
View Article and Find Full Text PDFSci Rep
August 2025
Orthopaedic Centre, The University of Hong Kong-Shenzhen Hospital, Futian District, Shenzhen, Guangdong Province, 518053, China.
Ultrasonic osteotomy devices (UODs) have emerged as precise bone-cutting instruments with soft tissue-sparing benefits; yet their impact on bone healing and adjacent neural tissue remains underexplored. This study aimed to investigate the effects of UODs versus conventional rotary high-speed burr (HSB) on bone healing and central nervous functions using mouse split calvarial bone defect models. Bilateral parietal bone defects were created in the skulls of mice using UOD (right) and HSB (left).
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