  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.
