Non-invasive single-shot imaging through scattering layers and around corners via speckle correlations

Ori Katz*, Pierre Heidmann, Mathias Fink, Sylvain Gigan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

834 Scopus citations


Optical imaging through and inside complex samples is a difficult challenge with important applications in many fields. The fundamental problem is that inhomogeneous samples such as biological tissue randomly scatter and diffuse light, preventing the formation of diffraction-limited images. Despite many recent advances, no current method can perform non-invasive imaging in real-time using diffused light. Here, we show that, owing to the a memory-effectâ €™ for speckle correlations, a single high-resolution image of the scattered light, captured with a standard camera, encodes sufficient information to image through visually opaque layers and around corners with diffraction-limited resolution. We experimentally demonstrate single-shot imaging through scattering media and around corners using spatially incoherent light and various samples, from white paint to dynamic biological samples. Our single-shot lensless technique is simple, does not require wavefront-shaping nor time-gated or interferometric detection, and is realized here using a camera-phone. It has the potential to enable imaging in currently inaccessible scenarios.

Original languageAmerican English
Pages (from-to)784-790
Number of pages7
JournalNature Photonics
Issue number10
StatePublished - 1 Jan 2014
Externally publishedYes

Bibliographical note

Funding Information:
The authors thank D. Martina and A. Liutkus for help with the GPU implementation of the algorithm, P. Ducellier for the Nokia Lumia 1020 camera-phone, J. Bertolotti for discussions and D. Andreoli for the spectral decorrelation measurements. This work was funded by the European Research Council (grant no. 278025). O.K. was supported by the Marie Curie Intra-European fellowship for career development (IEF) and a Rothschild fellowship.

Publisher Copyright:
© 2014 Macmillan Publishers Limited. All rights reserved.


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