Unveiling the efficacy of a bulk Raman spectra-based model in predicting single cell Raman spectra of microorganisms

Unveiling the efficacy of a bulk Raman spectra-based model in predicting single cell Raman spectra of microorganisms

In a previous publication, we trained predictive models based on Raman bulk spectra of microorganisms placed on a silicon dioxide protected silver mirror slide to make predictions for new Raman spectra, unknown to the models, of microorganisms placed on a different substrate, namely stainless steel....

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Bibliographic Details
Main Authors: Thomas J. Tewes, Mario Kerst, Svyatoslav Pavlov, Miriam A. Huth, Ute Hansen, Dirk P. Bockmühl
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Raman
Single cell
Bulk
Microorganisms
Convolutional neural network
CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024038556

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http://www.sciencedirect.com/science/article/pii/S2405844024038556

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