Open AccessIsoSense: frequency enhanced sensorless adaptive optics through structured illumination
Author(s) -
Mantas Žurauskas,
Ian M. Dobbie,
Richard M. Parton,
Michael A. Phillips,
Antonia Göhler,
Ilan Davis,
Martin J. Booth
Publication year - 2019
Publication title -
optica
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 5.074
H-Index - 107
ISSN - 2334-2536
DOI - 10.1364/optica.6.000370
Subject(s) - wavefront , adaptive optics , deformable mirror , optics , computer science , metric (unit) , wavefront sensor , image quality , spatial frequency , image resolution , computer vision , sample (material) , reliability (semiconductor) , artificial intelligence , image (mathematics) , physics , engineering , power (physics) , operations management , quantum mechanics , thermodynamics
We present IsoSense, a wavefront sensing method that mitigates sample dependency in image-based sensorless adaptive optics applications in microscopy. Our method employs structured illumination to create additional high spatial frequencies in the image through custom illumination patterns. This improves the reliability of image quality metric calculations and enables sensorless wavefront measurement even in samples with sparse spatial frequency content. We demonstrate the feasibility of IsoSense for aberration correction in a deformable-mirror-based structured illumination super-resolution fluorescence microscope.