Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/152691
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dc.contributor.authorDeng, Shiyuen_US
dc.contributor.authorHaindl, Richarden_US
dc.contributor.authorZhang, Edwarden_US
dc.contributor.authorBeard, Paulen_US
dc.contributor.authorScheuringer, Evaen_US
dc.contributor.authorSturtzel, Caterineen_US
dc.contributor.authorLi, Qianen_US
dc.contributor.authorDeloria, Abigail J.en_US
dc.contributor.authorSattmann, Haralden_US
dc.contributor.authorLeitgeb, Rainer A.en_US
dc.contributor.authorYuan, Yien_US
dc.contributor.authorSchmetterer, Leopolden_US
dc.contributor.authorPramanik, Manojiten_US
dc.contributor.authorDistel, Martinen_US
dc.contributor.authorDrexler, Wolfgangen_US
dc.contributor.authorLiu, Mengyangen_US
dc.date.accessioned2021-09-16T05:07:13Z-
dc.date.available2021-09-16T05:07:13Z-
dc.date.issued2021-
dc.identifier.citationDeng, S., Haindl, R., Zhang, E., Beard, P., Scheuringer, E., Sturtzel, C., Li, Q., Deloria, A. J., Sattmann, H., Leitgeb, R. A., Yuan, Y., Schmetterer, L., Pramanik, M., Distel, M., Drexler, W. & Liu, M. (2021). An optical coherence photoacoustic microscopy system using a fiber optic sensor. APL Photonics, 6(9), 096103-. https://dx.doi.org/10.1063/5.0059351en_US
dc.identifier.issn2378-0967en_US
dc.identifier.urihttps://hdl.handle.net/10356/152691-
dc.description.abstractIn this work, a novel fiber optic sensor based on Fabry-Pérot interferometry is adopted in an optical coherence photoacoustic microscopy (OC-PAM) system to enable high-resolution in vivo imaging. The complete OC-PAM system is characterized using the fiber optic sensor for photoacoustic measurement. After characterization, the performance of the system is evaluated by imaging zebrafish larvae in vivo. With a lateral resolution of 3.4 μm and an axial resolution of 3.7 μm in air, the optical coherence microscopy subsystem visualizes the anatomy of the zebrafish larvae. The photoacoustic microscopy subsystem reveals the vasculature of the zebrafish larvae with a lateral resolution of 1.9 μm and an axial resolution of 37.3 μm. As the two modalities share the same sample arm, we obtain inherently co-registered morphological and vascular images. This OC-PAM system provides comprehensive information on the anatomy and vasculature of the zebrafish larvae. Featuring compactness, broad detection bandwidth, and wide detection angle, the fiber optic sensor enables a large field of view with a static sensor position. We verified the feasibility of the fiber optic sensor for dual-modality in vivo imaging. The OC-PAM system, as a non-invasive imaging method, demonstrates its superiority in the investigation of zebrafish larvae, an animal model with increasing significance in developmental biology and disease research. This technique can also be applied for functional as well as longitudinal studies in the future.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofAPL Photonicsen_US
dc.rights© 2021 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.subjectEngineering::Bioengineeringen_US
dc.titleAn optical coherence photoacoustic microscopy system using a fiber optic sensoren_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.contributor.researchSERI-NTU Advanced Ocular Engineering (STANCE) Laboratoryen_US
dc.identifier.doi10.1063/5.0059351-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85114452930-
dc.identifier.issue9en_US
dc.identifier.volume6en_US
dc.identifier.spage096103en_US
dc.subject.keywordsFiber Optic Sensoren_US
dc.subject.keywordsOptical Coherence Photoacoustic Microscopyen_US
dc.description.acknowledgementThis work was supported by the Joint Ph.D. Program Medical University of Vienna/NTU Singapore “Kooperation Singapur” (Grant No. SO10300010), the European Commission Horizon 2020 LEIT Information and Communication Technologies under Grant Agreement No. 732720 (ESOTRAC), the FETOPEN-01-2018-2019-2020-FET-Open Project SWIMMOT under Grant Agreement No. 899612, the H2020-ICT-2020-2 Project REAP under Grant Agreement No. 101016964, the H2020-MSCA-IF-2019 Project SkinOptima under Grant Agreement No. 894325, the European Research Council under Advanced Grant No. 741149, and the Austrian Research Promotion Agency (FFG) under Grant No. 7940628 (Danio4Can).en_US
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