Image restoration of FACED microscopy by generative adversarial network

Gwinky G. K. Yip; Michelle C. K. Lo; Kenneth K. Y. Wong; Kevin K. Tsia

doi:10.1117/12.2654550

16 March 2023 Image restoration of FACED microscopy by generative adversarial network

Gwinky G. K. Yip, Michelle C. K. Lo, Kenneth K. Y. Wong, Kevin K. Tsia

Proceedings Volume 12390, High-Speed Biomedical Imaging and Spectroscopy VIII; 1239004 (2023) https://doi.org/10.1117/12.2654550
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

We report the use of conditional generative adversarial network (cGAN) for restoring undersampled images captured in free-space angular-chirp-enhanced delay (FACED) microscopy. We show that this deep-learning approach allows the wider imaging field of view (FOV) along FACED axis, without substantially sacrificing the imaging resolution, photon-budget and speed even with lower density of scanning foci. This study could show the potential of further extending the applicability of FACED imaging to a wider range of biological applications that require extended FOV imaging.

Conference Presentation

Citation Download Citation

Gwinky G. K. Yip, Michelle C. K. Lo, Kenneth K. Y. Wong, and Kevin K. Tsia "Image restoration of FACED microscopy by generative adversarial network", Proc. SPIE 12390, High-Speed Biomedical Imaging and Spectroscopy VIII, 1239004 (16 March 2023); https://doi.org/10.1117/12.2654550

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