A Deep Learning Approach for Improving Two-Photon Vascular Imaging Speeds

A Deep Learning Approach for Improving Two-Photon Vascular Imaging Speeds

A potential method for tracking neurovascular disease progression over time in preclinical models is multiphoton fluorescence microscopy (MPM), which can image cerebral vasculature with capillary-level resolution. However, obtaining high-quality, three-dimensional images with traditional point scann...

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Bibliographic Details
Main Authors: Annie Zhou, Samuel A. Mihelic, Shaun A. Engelmann, Alankrit Tomar, Andrew K. Dunn, Vagheesh M. Narasimhan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Bioengineering
Subjects:
deep learning
multiphoton imaging
fast upscaling
vascular segmentation and vectorization
Online Access:https://www.mdpi.com/2306-5354/11/2/111

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https://www.mdpi.com/2306-5354/11/2/111

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