Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/122669
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Type: Journal article
Title: Methods for dynamic synchrotron X-ray respiratory imaging in live animals
Author: Morgan, K.S.
Parsons, D.
Cmielewski, P.
McCarron, A.
Gradl, R.
Farrow, N.
Siu, K.
Takeuchi, A.
Suzuki, Y.
Uesugi, K.
Uesugi, M.
Yagi, N.
Hall, C.
Klein, M.
Maksimenko, A.
Stevenson, A.
Hausermann, D.
Dierolf, M.
Pfeiffer, F.
Donnelley, M.
Citation: Journal of Synchrotron Radiation, 2020; 27(Pt 1):164-175
Publisher: International Union of Crystallography
Issue Date: 2020
ISSN: 0909-0495
1600-5775
Statement of
Responsibility: 
Kaye Susannah Morgan, David Parsons, Patricia Cmielewski, Alexandra McCarron, Regine Gradl, Nigel Farrow ... et al.
Abstract: Small-animal physiology studies are typically complicated, but the level of complexity is greatly increased when performing live-animal X-ray imaging studies at synchrotron and compact light sources. This group has extensive experience in these types of studies at the SPring-8 and Australian synchrotrons, as well as the Munich Compact Light Source. These experimental settings produce unique challenges. Experiments are always performed in an isolated radiation enclosure not specifically designed for live-animal imaging. This requires equipment adapted to physiological monitoring and test-substance delivery, as well as shuttering to reduce the radiation dose. Experiment designs must also take into account the fixed location, size and orientation of the X-ray beam. This article describes the techniques developed to overcome the challenges involved in respiratory X-ray imaging of live animals at synchrotrons, now enabling increasingly sophisticated imaging protocols.
Keywords: Inverse Compton source; phasecontrast imaging; mouse; rat; trachea; lungs; airways; phase contrast; biomedical imaging
Rights: © Open access. Attribution 4.0 International
DOI: 10.1107/s1600577519014863
Grant ID: http://purl.org/au-research/grants/nhmrc/GNT1079712
Published version: http://dx.doi.org/10.1107/s1600577519014863
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