Wide field fluorescence epi-microscopy behind a scattering medium enabled by speckle correlations

Abstract : Fluorescence microscopy is widely used in biological imaging, however scattering from tissues strongly limits its applicability to a shallow depth. In this work we adapt a methodology inspired from stellar speckle interferometry, and exploit the optical memory effect to enable fluorescence microscopy through a turbid layer. We demonstrate efficient reconstruction of micrometer-size fluorescent objects behind a scattering medium in epi-microscopy, and study the specificities of this imaging modality (magnification, field of view, resolution) as compared to traditional microscopy. Using a modified phase retrieval algorithm to reconstruct fluorescent objects from speckle images, we demonstrate robust reconstructions even in relatively low signal to noise conditions. This modality is particularly appropriate for imaging in biological media, which are known to exhibit relatively large optical memory ranges compatible with tens of micrometers size field of views, and large spectral bandwidths compatible with emission fluorescence spectra of tens of nanometers widths. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

Contributor : Matthias Hofer <>
Submitted on : Monday, November 5, 2018 - 2:41:33 PM
Last modification on : Monday, March 4, 2019 - 2:04:14 PM
Long-term archiving on : Wednesday, February 6, 2019 - 1:51:08 PM


Publisher files allowed on an open archive




Matthias Hofer, Christian Soeller, Sophie Brasselet, Jacopo Bertolotti. Wide field fluorescence epi-microscopy behind a scattering medium enabled by speckle correlations. Optics Express, Optical Society of America, 2018, 26 (8), ⟨10.1364/OE.26.009866⟩. ⟨hal-01912524⟩



Record views


Files downloads