Towards corneal structure mapping in the living eye using a combined X-ray scattering, biomedical imaging and machine learning approach

Boote, Craig ORCID: https://orcid.org/0000-0003-0348-6547, Girard, Michael J. A., Thiery, Alexandre H. and Ohta, Noboru 2023. Towards corneal structure mapping in the living eye using a combined X-ray scattering, biomedical imaging and machine learning approach. [Project Report]. SPring-8/SACLA Research Report: Japan Synchrotron Radiation Research Institute. Available at: https://doi.org/10.18957/rr.11.1.37

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Abstract

Corneal blindness is a leading cause of vision loss worldwide. Corneal curvature and transparency depend on the cornea’s unique collagen fibril architecture and, while much progress has been made in mapping collagen structure in cadaveric corneas, there is currently no way of imaging collagen fibril organization in the living eye. Our ultimate goal is to develop new artificial intelligence (AI)-assisted bioimaging technology to map collagen structure in live patient corneas. Here we present results from SPring-8 beamline BL40B2 in the form of wide-angle X-ray scattering (WAXS) maps of corneal structure from ex-vivo porcine eyes, which were previously scanned via optical coherence tomography (OCT), and will be used as a platform to train machine learning algorithms to “read” the equivalent in-vivo data from OCT images obtained from human patients.

Item Type:	Monograph (Project Report)
Date Type:	Published Online
Status:	Published
Schools:	Optometry and Vision Sciences
Additional Information:	SACLA/SPring8 Research Report
Publisher:	Japan Synchrotron Radiation Research Institute
Date of First Compliant Deposit:	10 March 2023
Date of Acceptance:	11 October 2022
Last Modified:	17 Mar 2023 15:30
URI:	https://orca.cardiff.ac.uk/id/eprint/157634

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