Presentation + Paper
12 March 2024 Coordinate-based neural representations for computational adaptive optics in two-photon microscopy
Author Affiliations +
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.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Iksung Kang, Qinrong Zhang, Courtney Yaeger, Trang Pham, Stella X. Yu, Mark Harnett, and Na Ji "Coordinate-based neural representations for computational adaptive optics in two-photon microscopy", Proc. SPIE 12851, Adaptive Optics and Wavefront Control for Biological Systems X, 1285103 (12 March 2024); https://doi.org/10.1117/12.3008468
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KEYWORDS
Adaptive optics

In vivo imaging

Two photon excitation microscopy

Optical aberrations

Biological imaging

Brain

Biological samples

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