Multi-conjugate reflection matrix approach for deep imaging in biological media

Jad Aoun; Paul Balondrade; Victor Barolle; Claude Boccara; Mathias Fink; Alexandre Aubry

doi:10.1117/12.3016922

18 June 2024 Multi-conjugate reflection matrix approach for deep imaging in biological media

Jad Aoun, Paul Balondrade, Victor Barolle, Claude Boccara, Mathias Fink, Alexandre Aubry

Proceedings Volume PC12996, Unconventional Optical Imaging IV; PC129960F (2024) https://doi.org/10.1117/12.3016922
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

In optical imaging, light propagation is affected by the heterogeneities of the refractive index. At shallow depths, these fluctuations induce wave-front distortions that degrade the image resolution and contrast. Beyond a few scattering mean free paths, multiple scattering starts to predominate and gives rise to a random speckle image without any connection with the medium reflectivity. To overcome these detrimental phenomena, we develop a general matrix approach of optical imaging and demonstrate its benefit by means of numerical simulations. By stacking a set of random phase screens, we model forward multiple scattering and its short-range memory effect. A computational multi-conjugate adaptive optics strategy is then proposed to exploit these snake photons ad optimize the focusing process at any point inside the medium.

Conference Presentation

Citation Download Citation

Jad Aoun, Paul Balondrade, Victor Barolle, Claude Boccara, Mathias Fink, and Alexandre Aubry "Multi-conjugate reflection matrix approach for deep imaging in biological media", Proc. SPIE PC12996, Unconventional Optical Imaging IV, PC129960F (18 June 2024); https://doi.org/10.1117/12.3016922

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