Real-time, wide-field endoscopic quantitative imaging based on 3D profile corrected deep-learning SSOP

L. Baratelli; E. Aguenounon; M. Flury; S. Gioux

doi:10.1117/12.2615332

9 December 2021 Real-time, wide-field endoscopic quantitative imaging based on 3D profile corrected deep-learning SSOP

L. Baratelli, E. Aguenounon, M. Flury, S. Gioux

Proceedings Volume 11920, Diffuse Optical Spectroscopy and Imaging VIII; 119200Y (2021) https://doi.org/10.1117/12.2615332
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

We present the design of an endoscopic imaging system based on Deep Learning-optimized 3D profile corrected “Single Snapshot imaging of Optical Properties” (3D-SSOP), for real-time, wide-field quantitative oxygenation imaging of biological tissues.

Citation Download Citation

L. Baratelli, E. Aguenounon, M. Flury, and S. Gioux "Real-time, wide-field endoscopic quantitative imaging based on 3D profile corrected deep-learning SSOP", Proc. SPIE 11920, Diffuse Optical Spectroscopy and Imaging VIII, 119200Y (9 December 2021); https://doi.org/10.1117/12.2615332

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