Liao, Weiqing, Yue, Yuanli, Liu, Shouju, Wang, Chao, Zhang, Ailing (2024) High-Speed Multi-Channel Signal Acquisition in Photonic Time Stretch Optical Coherence Tomography Through Frequency Division Multiplexing. In: 2024 International Topical Meeting on Microwave Photonics (MWP). . IEEE (doi:10.1109/mwp62612.2024.10736284) (KAR id:107815)
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Official URL: https://doi.org/10.1109/mwp62612.2024.10736284 |
Abstract
Photonic time stretch optical coherence tomography (OCT) has achieved unprecedented A-scan rates of tens of MHz in previous studies. However, the slower lateral scan rate remains a bottleneck for volume imaging speed. In this work, we propose and demonstrate a novel data acquisition method that enables simultaneous ultrafast multi-channel Ascans in photonic time stretch OCT. Utilizing frequency-division multiplexing, our approach maintains the high A-scan rate and the same axial resolution, while significantly improving the overall imaging throughput. This advancement addresses the existing limitations and represents a significant step forward in high-speed and high-throughput OCT imaging.
Item Type: | Conference or workshop item (Proceeding) |
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DOI/Identification number: | 10.1109/mwp62612.2024.10736284 |
Additional information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. |
Uncontrolled keywords: | Image resolution, Optical coherence tomography, System performance, Data acquisition, Imaging, Masers, Throughput, Frequency division multiplexing, Ultrafast optics, Signal resolution |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: | Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 06 Feb 2025 14:33 UTC |
Last Modified: | 14 Feb 2025 09:21 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/107815 (The current URI for this page, for reference purposes) |
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