Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy
Abstract
Structured illumination microscopy (SIM) is one of the most versatile super-resolution techniques. Yet, its application to live imaging has been so far mainly limited to fluorescent and stationary specimens. Here, we present advancements in SIM to jointly tackle all the challenges of imaging living samples, i.e., obtaining super-resolution over an undistorted wide-field while dealing with sample motion, scattering, sample-induced optical aberrations and low signal-to-noise ratio. By using adaptive optics to compensate for optical aberrations and a reconstruction algorithm tailored for a moving and thick tissue, we successfully applied SIM to in vivo retinal imaging and demonstrated structured illumination ophthalmoscopy for high contrast super-resolution in vivo imaging of the human retina.
Cite
@article{arxiv.2007.16028,
title = {Super-resolution in vivo retinal imaging using structured illumination ophthalmoscopy},
author = {Yann Lai-Tim and Laurent Mugnier and Léa Krafft and Antoine Chen and Cyril Petit and Pedro Mecê and Kate Grieve and Michel Paques and Serge Meimon},
journal= {arXiv preprint arXiv:2007.16028},
year = {2025}
}
Comments
14 pages, 8 figures, manuscript under consideration for a peer-reviewed journal