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Proceedings Paper

Scattering reflection matrix approach to ultra-deep imaging through biological media (Conference Presentation)
Author(s): Laura Cobus; Amaury Badon; Dayan Li; Geoffroy Lerosey; Claude Boccara; Mathias Fink; Alexandre Aubry

Paper Abstract

When imaging with classical waves, multiple scattering (MS) is often seen as an unavoidable obstacle. The diffraction-limited resolution obtainable with methods such as microscopy requires that single-scattering (SS) dominates; for depths where MS processes become important, such methods result in an image without any connection to the reflectivity of the medium. Conversely, techniques such as diffuse optical tomography take advantage of the diffuse nature of light, but their resolution power is limited. To do better, methods such as wavefront shaping and adaptive optics have been developed. Focussing through a thick diffusive layer was demonstrated using a transmission matrix approach consisting of the measurement of Green’s functions between each pixel of a spatial light modulator (SLM) and of a charge-coupled device (CCD) camera across the medium. To image inside a multiple-scattering medium, we present a matrix approach based on the experimental measurement of a reflection matrix from the medium. An analysis based on the geometric and statistical properties of this reflection matrix can enhance the SS contribution which would otherwise be swamped by MS at large depths, and correct the resulting image for aberration effects induced by the turbid medium itself. The correction does not require the presence of bright scatterers, does not rely on any feedback loop and works even at depths where the field-of-view contains several isoplanatic patches. Here we present the application of our reflection matrix approach to optical imaging in biological tissues. Compared to OCT and related methods, we demonstrate an extension of the current imaging-depth limit.

Paper Details

Date Published: 15 March 2018
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Proc. SPIE 10502, Adaptive Optics and Wavefront Control for Biological Systems IV, 105020Y (15 March 2018); doi: 10.1117/12.2290704
Show Author Affiliations
Laura Cobus, Institut Langevin, Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (France)
Amaury Badon, Boston Univ. (United States)
Dayan Li, Institut Langevin (France)
Geoffroy Lerosey, Institut Langevin (France)
Claude Boccara, Institut Langevin (France)
Mathias Fink, Institut Langevin (France)
Alexandre Aubry, Institut Langevin (France)


Published in SPIE Proceedings Vol. 10502:
Adaptive Optics and Wavefront Control for Biological Systems IV
Thomas G. Bifano; Joel Kubby; Sylvain Gigan, Editor(s)

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