Differentiable model-based adaptive optics for two-photon microscopy

TL;DR

This paper introduces a differentiable, model-based adaptive optics method for two-photon microscopy that automatically corrects aberrations in scattering biological tissues, enhancing imaging quality.

Contribution

It extends existing model-based adaptive optics techniques to two-photon microscopy, enabling sensorless aberration correction in scattering samples.

Findings

Effective aberration correction in scattering samples

Improved imaging quality in biological tissues

Applicable to brain tissue imaging

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.