Unknown

Dataset Information

0

Distortion matrix concept for deep optical imaging in scattering media.


ABSTRACT: 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.

SUBMITTER: Badon A 

PROVIDER: S-EPMC7455485 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Distortion matrix concept for deep optical imaging in scattering media.

Badon Amaury A   Barolle Victor V   Irsch Kristina K   Boccara A Claude AC   Fink Mathias M   Aubry Alexandre A  

Science advances 20200722 30


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 di  ...[more]

Similar Datasets

| S-EPMC7334504 | biostudies-literature
| S-EPMC5099988 | biostudies-literature
| S-EPMC5735168 | biostudies-literature
| S-EPMC6199323 | biostudies-literature
| S-EPMC7708489 | biostudies-literature
| S-EPMC4477952 | biostudies-literature
| S-EPMC3083021 | biostudies-literature
| S-EPMC8065103 | biostudies-literature
| S-EPMC4844949 | biostudies-literature
| S-EPMC4407998 | biostudies-literature