Differentiable model-based adaptive optics for two-photon microscopy
Optics
2021-07-07 v1 Machine Learning
Abstract
Aberrations limit scanning fluorescence microscopy when imaging in scattering materials such as biological tissue. Model-based approaches for adaptive optics take advantage of a computational model of the optical setup. Such models can be combined with the optimization techniques of machine learning frameworks to find aberration corrections, as was demonstrated for focusing a laser beam through aberrations onto a camera [arXiv:2007.13400]. Here, we extend this approach to two-photon scanning microscopy. The developed sensorless technique finds corrections for aberrations in scattering samples and will be useful for a range of imaging application, for example in brain tissue.
Cite
@article{arxiv.2104.14308,
title = {Differentiable model-based adaptive optics for two-photon microscopy},
author = {Ivan Vishniakou and Johannes D. Seelig},
journal= {arXiv preprint arXiv:2104.14308},
year = {2021}
}