2019/10/31 by Amaury Badon, Victor Barolle, Kristina Irsch +4
Engineering · Mathematics · Physics and Astronomy · #Computer science #Distortion (music) #Field (mathematics) #Materials science #Mathematics #Matrix (chemical analysis) #Optical Coherence Tomography Applications #Optical Polarization and Ellipsometry #Optical imaging #Optics #Optoelectronics #Physics #Random lasers and scattering media #Scattering #physics.bio-ph #physics.optics
paper · pdf · doi:10.1126/sciadv.aay7170
published as Science Advances 6, eaay7170, 2020 · 61 pages, 10 figures, 2 tables
openalex publication_date 2020/07/22 · arxiv created 2020/07/31 · arxiv updated 2020/08/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
In optical imaging, light propagation is affected by the inhomogeneities of the medium. Sample-induced aberrations and multiple scattering can strongly degrade the image resolution and contrast. On the basis of a dynamic correction of the incident and/or reflected wavefronts, adaptive optics has been used to compensate for those aberrations. However, it only applies to spatially invariant aberrations or to thin aberrating layers. Here, we propose a global and noninvasive approach based on the distortion matrix concept. This matrix basically connects any focusing point of the image with the distorted part of its wavefront in reflection. A singular value decomposition of the distortion matrix allows to correct for high-order aberrations and forward multiple scattering over multiple isoplanatic modes. Proof-of-concept experiments are performed through biological tissues including a turbid cornea. We demonstrate a Strehl ratio enhancement up to 2500 and recover a diffraction-limited resolution until a depth of 10 scattering mean free paths.