Computational imaging through scattering media beyond the memory effect range using varying random illumination

Lei Zhu; Fernando Soldevila Torres; Claudio Moretti; Alexandra D'Arco; Antoine Boniface; Xiaopeng Shao; Hilton B. de Aguiar; Sylvain Gigan

doi:10.1117/12.2621494

30 May 2022 Computational imaging through scattering media beyond the memory effect range using varying random illumination

Lei Zhu, Fernando Soldevila Torres, Claudio Moretti, Alexandra D'Arco, Antoine Boniface, Xiaopeng Shao, Hilton B. de Aguiar, Sylvain Gigan

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Proceedings Volume PC12136, Unconventional Optical Imaging III; PC121360P (2022) https://doi.org/10.1117/12.2621494
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

Light scattering has proven to be a hard limitation in a wide range of sensing applications, such as astronomical or biological imaging. In microscopy systems, the random perturbations introduced to the wavefront limit the achievable spatial resolution and imaging depth. In the past, several methods have been proposed to control how light interacts with the medium, allowing focusing and imaging through multiple scattering media by using wavefront shaping techniques. However, non-invasively imaging objects behind scattering media over large fields of view remains a challenging feat. Here, we introduce a novel approach that allows to recover fluorescent extended objects behind scattering layers well beyond the optical memory effect (ME) range without the use of neither adaptive optics nor wavefront shaping techniques. To do so, we project a collection of unknown random illumination speckle patterns through the scattering medium by using a simple rotating diffuser. For each position of the rotating diffuser, a different incoherent sum of speckle patterns is recorded by the camera. Even though these images are low-contrast, random, and seem to carry no information at all, they contain the information about the position of the emitters. Here we show that, if enough images are measured, it is possible to use Non-negative Matrix Factorization to demix all the information and to retrieve the relative position of each fluorescent emitter in the sample. As a proof of the technique, we show experimental results with both sparse and continuous objects, covering fields-of-view of up to three times the optical memory effect range

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Lei Zhu, Fernando Soldevila Torres, Claudio Moretti, Alexandra D'Arco, Antoine Boniface, Xiaopeng Shao, Hilton B. de Aguiar, and Sylvain Gigan "Computational imaging through scattering media beyond the memory effect range using varying random illumination", Proc. SPIE PC12136, Unconventional Optical Imaging III, PC121360P (30 May 2022); https://doi.org/10.1117/12.2621494

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KEYWORDS

Scattering media

Computational imaging

Speckle pattern

Wavefronts

Diffusers

Imaging systems

Light scattering

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