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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.
Alexandra D'Arco,Sylvain Gigan, andAntoine Boniface
"Two-layer neural network: a model-based technique to focus and image through scattering media", Proc. SPIE PC12136, Unconventional Optical Imaging III, PC121360Q (30 May 2022); https://doi.org/10.1117/12.2616533
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Alexandra D'Arco, Sylvain Gigan, Antoine Boniface, "Two-layer neural network: a model-based technique to focus and image through scattering media," Proc. SPIE PC12136, Unconventional Optical Imaging III, PC121360Q (30 May 2022); https://doi.org/10.1117/12.2616533