High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy

Raman spectroscopy enables nondestructive, label-free imaging with unprecedented molecular contrast, but is limited by slow data acquisition, largely preventing high-throughput imaging applications. Here, we present a comprehensive framework for higher-throughput molecular imaging via deep-learning-...

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Veröffentlicht in:	Analytical chemistry (Washington) 2021-12, Vol.93 (48), p.15850-15860
Hauptverfasser:	Horgan, Conor C, Jensen, Magnus, Nagelkerke, Anika, St-Pierre, Jean-Philippe, Vercauteren, Tom, Stevens, Molly M, Bergholt, Mads S
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemistry Data acquisition Deep Learning Image acquisition Image reconstruction Image resolution Molecular Imaging Neural networks Neural Networks, Computer Raman spectroscopy Signal to noise ratio Spectroscopy Spectrum analysis Spectrum Analysis, Raman Transfer learning
Online-Zugang:	Volltext
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