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Updated: Jul 25, 2025

High-Speed Ultraviolet Photoacoustic Microscopy for Histological Imaging with Virtual-Staining assisted by Deep Learning
Published on: April 28, 2022
Deep learning enables fast, gentle STED microscopy
Vahid Ebrahimi1, Till Stephan2,3, Jiah Kim4
1CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, USA.
Abstract:
STED microscopy is widely used to image subcellular structures with super-resolution. Here, we report that restoring STED images with deep learning can mitigate photobleaching and photodamage by reducing the pixel dwell time by one or two orders of magnitude. Our method allows for efficient and robust restoration of noisy 2D and 3D STED images with multiple targets and facilitates long-term imaging of mitochondrial dynamics.
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