@inproceedings{ae7ac4008e404a0f8e03d2ecb87fadfb,
title = "Coordinate-based neural representations for computational adaptive optics in two-photon microscopy",
abstract = "By measuring and correcting sample-induced aberrations, adaptive optics (AO) enables noninvasive imaging of subcellular structures in living organisms with two-photon (2P) fluorescence microscopy. We will introduce CoCoA-2P, a self-supervised machine-learning algorithm capable of simultaneously estimating aberrations and recovering 3D structural information from a single 2P image stack without requiring external training datasets. We will showcase the applications of CoCoA-2P for high-resolution in vivo structural imaging of the mouse brain and eye lenses. {\textcopyright} 2024 SPIE. ",
keywords = "Adaptive optics, Machine learning, Two-photon microscopy",
author = "Iksung Kang and Qinrong Zhang and Courtney Yaeger and Trang Pham and Yu, \{Stella X.\} and Mark Harnett and Na Ji",
year = "2024",
doi = "10.1117/12.3008468",
language = "English",
isbn = "9781510669611",
series = "Proceedings of SPIE",
publisher = "SPIE - International Society for Optical Engineering",
editor = "Bifano, \{Thomas G.\} and Na Ji and Lei Tian",
booktitle = "Adaptive Optics and Wavefront Control for Biological Systems X",
address = "United States",
note = "SPIE BIOS 2024 ; Conference date: 28-01-2024 Through 29-01-2024",
}