X-ray Analysis

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Extreme macro of polyester stable fiber on blue background | Image Credit: © Taigi - stock.adobe.com

Researchers at Kochi University and RIKEN have unveiled a new method for distinguishing individual polyester fibers in forensic investigations. Published in Spectrochimica Acta Part B: Atomic Spectroscopy, their advanced X-ray analysis refreshes how we unravel the composition of these fibers.

Cancer detection and screening as a treatment for malignant cells with a biopsy or testing caused by carcinogens and genetics with a cancerous cell as an immunotherapy symbol | Image Credit: © freshidea - stock.adobe.com

Machine learning and synchrotron radiation-based micro X-ray fluorescence imaging show promise for early cancer diagnostics by identifying trace biometals as potential cancer biomarkers. The research demonstrates the feasibility of using machine learning algorithms to analyze the spatial distribution of biometals and classify cancer pathogenesis stages, offering potential advancements in non-invasive cancer detection.

Harishchandra Singh, Graham King and associates have employed high energy synchrotron X-ray diffraction (HE-SXRD) experiments and an analytical model in order to predict the yield strength of cerium-modified super duplex stainless steel (SDSS) subjected to various cold- and cryo-deformation. Spectroscopy recently had the opportunity to discuss the experiments and the findings with Singh and King.