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13 March 2024 High-speed computational multiphoton imaging through scattering media
Jian Zhao, Udith Haputhanthri, Mithunjha Anandakumar, Cheng Zheng, Feng-Chun Hsu, Brandon Weissbourd, Kendyll Burnell, Elly Nedivi, Dushan N. Wadduwage, Peter T. C. So
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Proceedings Volume PC12847, Multiphoton Microscopy in the Biomedical Sciences XXIV; PC1284709 (2024) https://doi.org/10.1117/12.3002076
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
We present a novel approach to achieve high-speed depth-resolved two-photon imaging through the development of a deep-learning-based temporal-focusing two-photon microscope utilizing the De-scattering with Excitation Patterning (DEEP) method, referred to as DEEP-Line. DEEP-Line incorporates a line-scanning scheme, widefield detection utilizing a high-speed Silicon Photomultiplier array, and employs deep-learning-based image reconstruction. The performance of our system is validated using diverse biological samples. Our imaging method achieves orders of magnitude improvement in speed by reducing excitation patterns to several tens and employing MHz parallel detections. Furthermore, our approach can enable fluorescence lifetime imaging and enhances axial resolution.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jian Zhao, Udith Haputhanthri, Mithunjha Anandakumar, Cheng Zheng, Feng-Chun Hsu, Brandon Weissbourd, Kendyll Burnell, Elly Nedivi, Dushan N. Wadduwage, and Peter T. C. So "High-speed computational multiphoton imaging through scattering media", Proc. SPIE PC12847, Multiphoton Microscopy in the Biomedical Sciences XXIV, PC1284709 (13 March 2024); https://doi.org/10.1117/12.3002076
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KEYWORDS
Biological imaging
Scattering media
Cameras
Silicon photomultipliers
Electron multiplying charge coupled devices
Image restoration
Microscopes
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