Title: Multiphoton super-resolution imaging via virtual structured illumination

Abstract: Fluorescence imaging in thick biological tissues is challenging due to sample-induced aberration and scattering, which leads to severe degradation of image quality and resolution. Fluorescence imaging in reflection geometry further exacerbates this issue since the point spread function is distorted in both excitation and emission pathways. Here, we propose a novel approach termed adaptive optics virtual structured illumination microscopy (AO V-SIM) that enables super-resolution multiphoton imaging through a scattering medium in reflection geometry. Our approach exploits the incoherent reflection matrix obtained using a conventional point-scanning fluorescence microscope with an array detector. We introduce V-SIM super-resolution reconstruction algorithm based on the incoherent reflection matrix. Furthermore, we introduce a software adaptive optics correction algorithm, AO V-SIM, which recovers unattenuated and phase-corrected optical transfer function for both excitation and emission pathways. The effectiveness of our proposed method is experimentally validated through sub-diffraction-limited two-photon fluorescence imaging of various samples in the presence of strong aberration.