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Flexible X-ray imaging detectors using scintillating fibers
University of Sheffield, UK.
University of Sheffield, UK.
Fraunhofer, Germany.
TWI Hellas, Greece.
Show others and affiliations
2022 (English)In: Journal of Instrumentation, E-ISSN 1748-0221, Vol. 17, no 10, article id C10013Article in journal (Refereed) Published
Abstract [en]

We present early design and simulation work on a novel X-ray imaging detector. The intent of the FleX-RAY project is to create a digital X-ray detector that is capable of producing high-resolution images, is flexible enough to produce an image on a curved surface, and is capable of self-reporting its final shape. The X-rays will be detected on a sheet of scintillating optical fibers, which will guide the scintillation light to single-photon avalanche photodiodes. This setup allows the electronics and hardware to be moved out of the path of the X-ray beam, limiting the need for additional shielding. Self-shape-reporting will be achieved using a flexible ultra-thin glass substrate with optical waveguides and Bragg gratings, processed by femtosecond laser point-by-point writing. The functionalized glass substrate allows precise measurement of strains, which can be used to calculate the shape. © 2022 The Author(s).

Place, publisher, year, edition, pages
Institute of Physics , 2022. Vol. 17, no 10, article id C10013
Keywords [en]
Inspection with gamma rays, Inspection with X-rays, Scintillators, scintillation and light emission processes (solid, gas and liquid scintillators), X-ray detectors, Gamma rays, Glass, Glass substrates, Ionization, Optical fibers, Particle beams, Scintillation counters, X ray detectors, Early designs, Emission process, Gamma-rays, Inspection with gamma ray, Inspection with X-ray, Liquid scintillator, Scintillating fiber, Scintillator, scintillation and light emission process (solid, gas and liquid scintillator), X-ray detector, X-ray imaging detector, Scintillation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-61396DOI: 10.1088/1748-0221/17/10/C10013Scopus ID: 2-s2.0-85140081513OAI: oai:DiVA.org:ri-61396DiVA, id: diva2:1717500
Note

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programunder Grant Agreement No. 899634

Available from: 2022-12-08 Created: 2022-12-08 Last updated: 2024-07-04Bibliographically approved

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Lindblom, MagnusMargulis, Walter

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