Super‐Resolution Near‐Infrared Fluorescence Microscopy of Single‐Walled Carbon Nanotubes Using Deep Learning

Super‐Resolution Near‐Infrared Fluorescence Microscopy of Single‐Walled Carbon Nanotubes Using Deep Learning

Single‐walled carbon nanotubes (SWCNTs) have unique optical and physical properties, with numerous biomedical imaging and sensing applications, owing to their near‐infrared (nIR) fluorescence which overlaps with the biological transparency window. However, their longer emission wavelengths compared...

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Bibliographic Details
Main Authors: Barak Kagan, Adi Hendler-Neumark, Verena Wulf, Dotan Kamber, Roni Ehrlich, Gili Bisker
Format: Article
Language:English
Published: Wiley-VCH 2022-11-01
Series:Advanced Photonics Research
Subjects:
convolutional neural networks
deep learning
fluorescent nanoparticles
near-infrared imaging
single-walled carbon nanotubes
super-resolution
Online Access:https://doi.org/10.1002/adpr.202200244

Internet

https://doi.org/10.1002/adpr.202200244

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