Vers une reconstruction super-résolue et sectionnée optiquement pour l’imagerie rétinienne par illumination structurée

Abstract : Structured Illumination Microscopy (SIM) is an imaging technique for achieving both super-resolution (SR) and optical sectioning (OS) in wide-field microscopy using dedicated reconstruction algorithms. In this communication we focus on the very promising application of SIM to in vivo retinal imaging, which could benefit the study of the retinal 3D structure and function in the living eye. The SIM approaches commonly used in microscopy require a static object and are thus not suitable for in vivo retinal imaging due to uncontrolled eye movements. The few approaches developped with retinal imaging in mind only achieve SR. We propose a reconstruction method approach, tailored for retinal imaging, which achieves SR and OS jointly. It is based on a multi-layer model of the image formation process which takes into account the object shifts. The mean idea of our method is to reconstruct a 2-layer object composed of the super-resolved optical section of the object and a layer into which the object’s defocused contribution are rejected. Our proposed approach is validated by simulations and on experimental microscopy data.
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Submitted on : Friday, December 13, 2019 - 3:02:03 PM
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Yann Lai-Tim, Laurent Mugnier, François Orieux, Roberto Baena-Gallé, Michel Paques, et al.. Vers une reconstruction super-résolue et sectionnée optiquement pour l’imagerie rétinienne par illumination structurée. GRETSI 2019, Aug 2019, LILLE, France. ⟨hal-02409638⟩

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