Distortion matrix concept for deep imaging in optical coherence tomography

Paul Balondrade, Victor Barolle, Amaury Badon, Ulysse Najar, Kristina Irsch, Mathis Fink, Claude Boccara, Alexandre Aubry

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In optical imaging, light propagation is affected by the medium inhomogeneities. Adaptive optics has been employed to compensate for sample-induced aberrations but the field-of-view is often limited to a single isoplanatic patch. Here, we propose a noninvasive approach based on the distortion matrix concept. This matrix basically connects any focusing point with the distorted part of its wave-front in reflection. Its time reversal and entropy analysis allow to correct for high-order aberrations over multiple isoplanatic areas. We demonstrate a Strehl ratio enhancement up to 2500 and a diffraction-limited resolution until a depth of ten scattering mean free paths through an opaque cornea.

Original languageEnglish (US)
Title of host publication2021 IEEE Photonics Conference, IPC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665416016
StatePublished - 2021
Externally publishedYes
Event2021 IEEE Photonics Conference, IPC 2021 - Virtual, Online, Canada
Duration: Oct 18 2021Oct 21 2021

Publication series

Name2021 IEEE Photonics Conference, IPC 2021 - Proceedings


Conference2021 IEEE Photonics Conference, IPC 2021
CityVirtual, Online


  • Aberrations
  • Deep imaging
  • Distortion matrix
  • Iterative time reversal
  • Multiple scattering
  • Optical coherence tomography

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Artificial Intelligence
  • Computer Networks and Communications


Dive into the research topics of 'Distortion matrix concept for deep imaging in optical coherence tomography'. Together they form a unique fingerprint.

Cite this