An optical coherence photoacoustic microscopy system using a fiber optic sensor
Shiyu Deng,
Richard Haindl,
Edward Zhang,
Paul Beard,
Eva Scheuringer,
Caterina Sturtzel,
Qian Li,
Abigail J. Deloria,
Harald Sattmann,
Rainer A. Leitgeb,
Yi Yuan,
Leopold Schmetterer,
Manojit Pramanik,
Martin Distel,
Wolfgang Drexler,
Mengyang Liu
Affiliations
Shiyu Deng
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Richard Haindl
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Edward Zhang
Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT London, United Kingdom and Wellcome/EPSRC Center for Interventional and Surgical Sciences, University College London, Gower Street, WC1E 6BT London, United Kingdom
Paul Beard
Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, WC1E 6BT London, United Kingdom and Wellcome/EPSRC Center for Interventional and Surgical Sciences, University College London, Gower Street, WC1E 6BT London, United Kingdom
Eva Scheuringer
Innovative Cancer Models, St. Anna Children’s Cancer Research Institute, Zimmermannplatz 10, 1090 Vienna, Austria
Caterina Sturtzel
Innovative Cancer Models, St. Anna Children’s Cancer Research Institute, Zimmermannplatz 10, 1090 Vienna, Austria
Qian Li
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Abigail J. Deloria
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Harald Sattmann
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Rainer A. Leitgeb
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Yi Yuan
Institute of Electrical Engineering, Yanshan University, 066004 Qinhuangdao, Hebei, China
Leopold Schmetterer
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Manojit Pramanik
School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, 637459 Singapore
Martin Distel
Innovative Cancer Models, St. Anna Children’s Cancer Research Institute, Zimmermannplatz 10, 1090 Vienna, Austria
Wolfgang Drexler
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
Mengyang Liu
Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Währinger Gürtel 18-20, AKH 4L, 1090 Vienna, Austria
In 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.