Please use this identifier to cite or link to this item: doi:10.22028/D291-30769
Title: Early evaluation of corneal collagen crosslinking in ex-vivo human corneas using two-photon imaging
Author(s): Goncalves Batista, Ana Maria
Breunig, Hans Georg
Hager, Tobias
Seitz, Berthold
König, Karsten
Language: English
Title: Scientific Reports
Volume: 9
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2019
Free key words: Biomedical engineering
Corneal diseases
Medical imaging
Nonlinear optics
DDC notations: 600 Technology
Publikation type: Journal Article
Abstract: The clinical outcome of corneal collagen crosslinking (CXL) is typically evaluated several weeks after treatment. An earlier assessment of its outcome could lead to an optimization of the treatment, including an immediate re-intervention in case of failure, thereby, avoiding additional discomfort and pain to the patient. In this study, we propose two-photon imaging (TPI) as an earlier evaluation method. CXL was performed in human corneas by application of riboflavin followed by UVA irradiation. Autofluorescence (AF) intensity and lifetime images were acquired using a commercial clinically certified multiphoton tomograph prior to CXL and after 2h, 24h, 72h, and 144h storage in culture medium. The first monitoring point was determined as the minimum time required for riboflavin clearance from the cornea. As control, untreated samples and samples treated only with riboflavin (without UVA irradiation) were monitored at the same time points. Significant increases in the stroma AF intensity and lifetime were observed as soon as 2h after treatment. A depth-dependent TPI analysis showed higher AF lifetimes anteriorly corresponding to areas were CXL was most effective. No alterations were observed in the control groups. Using TPI, the outcome of CXL can be assessed non-invasively and label-free much sooner than with conventional clinical devices.
DOI of the first publication: 10.1038/s41598-019-46572-3
Link to this record: urn:nbn:de:bsz:291--ds-307690
ISSN: 2045-2322
Date of registration: 22-Apr-2020
Third-party funds sponsorship: European Union Horizon 2020 (LASER-HISTO); European project FLIMVERTICO
Sponsorship ID: 726666
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Karsten König
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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