2-layer neural network: a model-based technique to focus and image through scattering media

Alexandra D'Arco; Sylvain Gigan; Antoine Boniface

doi:10.1117/12.2607626

2 March 2022 2-layer neural network: a model-based technique to focus and image through scattering media

Alexandra D'Arco, Sylvain Gigan, Antoine Boniface

Proceedings Volume PC11969, Adaptive Optics and Wavefront Control for Biological Systems VIII; PC119690D (2022) https://doi.org/10.1117/12.2607626
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Optical imaging in complex media is a challenging task: due to multiple scattering, ballistic light is exponentially attenuated. This prevents conventional microscopy techniques from retrieving information beyond a millimeter inside biological tissues. We present an innovative way of focusing and imaging through scattering media using a model-based computational approach: a 2-layer neural network. This technique allows to retrieve transmission matrices of the system and thus reverse the scattering phenomenon. We are then able to retrieve the position of fluorescent beads through holographic diffusers. This approach is versatile and appliable to more challenging scenarios, like other scattering media or non-linear phenomena.

Conference Presentation

Citation Download Citation

Alexandra D'Arco, Sylvain Gigan, and Antoine Boniface "2-layer neural network: a model-based technique to focus and image through scattering media", Proc. SPIE PC11969, Adaptive Optics and Wavefront Control for Biological Systems VIII, PC119690D (2 March 2022); https://doi.org/10.1117/12.2607626

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