Large field-of-view non-invasive imaging through scattering layers using fluctuating random illumination

Lei Zhu, Fernando Soldevila, Claudio Moretti, Alexandra d’Arco, Antoine Boniface, Xiaopeng Shao, Hilton B. Aguiar and Sylvain Gigan ()
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Lei Zhu: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Fernando Soldevila: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Claudio Moretti: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Alexandra d’Arco: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Antoine Boniface: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Xiaopeng Shao: Xidian University
Hilton B. Aguiar: ENS–Université PSL, CNRS, Sorbonne Université, College de France
Sylvain Gigan: ENS–Université PSL, CNRS, Sorbonne Université, College de France

Nature Communications, 2022, vol. 13, issue 1, 1-6

Abstract: Abstract Non-invasive optical imaging techniques are essential diagnostic tools in many fields. Although various recent methods have been proposed to utilize and control light in multiple scattering media, non-invasive optical imaging through and inside scattering layers across a large field of view remains elusive due to the physical limits set by the optical memory effect, especially without wavefront shaping techniques. Here, we demonstrate an approach that enables non-invasive fluorescence imaging behind scattering layers with field-of-views extending well beyond the optical memory effect. The method consists in demixing the speckle patterns emitted by a fluorescent object under variable unknown random illumination, using matrix factorization and a novel fingerprint-based reconstruction. Experimental validation shows the efficiency and robustness of the method with various fluorescent samples, covering a field of view up to three times the optical memory effect range. Our non-invasive imaging technique is simple, neither requires a spatial light modulator nor a guide star, and can be generalized to a wide range of incoherent contrast mechanisms and illumination schemes.

Date: 2022
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DOI: 10.1038/s41467-022-29166-y

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