July 3rd 2024
A recent study used fiber optics reflectance spectroscopy (FORS), X-ray fluorescence (XRF) spectroscopy, and Raman spectroscopy to characterize a painted shroud wrapped around a female Egyptian mummy.
University of Pennsylvania Graduate Researcher Wins SPIE Medical Imaging Student Paper Award
March 14th 2024A PhD student in the Department of Bioengineering at the University of Pennsylvania has won the 2024 Physics of Medical Imaging Student Paper Award, which is given out annually by the International Society for Optics and Photonics (SPIE), at the Medical Imaging Symposium in San Diego, California.
Advancements in Non-Invasive Analysis of Historical Metal Artifacts
December 19th 2023Studying historical ancient artifacts requires the use of a nondestructive technique to analyze the metal surfaces of these objects. This study presents two approaches that improves on existing methods when conducting alloy analysis.
Unraveling Polyester Fibers with Advanced X-Ray Techniques
December 5th 2023Researchers 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.
The Impact of Heterogeneity Micro-Beam XRF Scanning Spectroscopy for Environmental Analysis
November 22nd 2023A new study published in Spectrochimica Acta Part B: Atomic Spectroscopy investigated the effects of heterogeneity, including grain size and mineralogical composition, on micro-beam X-ray fluorescence (XRF) scanning spectroscopy. XRF is a useful tool for environmental analysis, because of its high spatial resolution.
Machine Learning and Synchrotron Imaging: Advancing Early Cancer Diagnostics
June 2nd 2023Machine 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.
Spectrometers in Wonderland: Shrinking, Shrinking, Shrinking
November 1st 2022In the past 20 years, spectrometers have shrunk dramatically in size, and this shrinking has been achieved with only modest performance reductions in sampling versatility, spectral range, spectral resolution, and signal-to-noise.
An Archaeometric Investigation into the Former Cataract House Hotel via Elemental Analysis
November 1st 2022Portable X-ray fluorescence was used to analyze the archaeological remains of an Underground Railroad station to gain a clearer understanding of the construction phases it underwent during the 19th century.