Optical sectioning in a single camera shot using deep learning-assisted Full-field OCT

Viacheslav Mazlin; Claude Boccara

doi:10.1117/12.2652902

9 March 2023 Optical sectioning in a single camera shot using deep learning-assisted Full-field OCT

Viacheslav Mazlin, Claude Boccara

Proceedings Volume PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII; PC123671A (2023) https://doi.org/10.1117/12.2652902
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Recently, time-domain full-field OCT (TD-FF-OCT) evolved into the tool for in vivo eye exploration. Particular benefits of TD-FF-OCT include cellular resolution, rapid en face imaging without scanning artifacts, reduced sensitivity to optical aberrations, and non-contact performance. One limitation of TD-FF-OCT is related to its ’time-domain’ nature – tomographic image is reconstructed from several consecutive (in time) camera frames. The sample should stay static, otherwise the signal is reduced. In this work we present TD-FF-OCT that can capture in vivo human corneal images in a single camera shot. This became possible by using a combination of optical/image processing and deep learning techniques.

Conference Presentation

Citation Download Citation

Viacheslav Mazlin and Claude Boccara "Optical sectioning in a single camera shot using deep learning-assisted Full-field OCT", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123671A (9 March 2023); https://doi.org/10.1117/12.2652902

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