Understanding Raman Spectral Based Classifications with Convolutional Neural Networks Using Practical Examples of Fungal Spores and Carotenoid-Pigmented Microorganisms

Understanding Raman Spectral Based Classifications with Convolutional Neural Networks Using Practical Examples of Fungal Spores and Carotenoid-Pigmented Microorganisms

Numerous publications showing that robust prediction models for microorganisms based on Raman micro-spectroscopy in combination with chemometric methods are feasible, often with very precise predictions. Advances in machine learning and easier accessibility to software make it increasingly easy for...

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Bibliographic Details
Main Authors: Thomas J. Tewes, Michael C. Welle, Bernd T. Hetjens, Kevin Saruni Tipatet, Svyatoslav Pavlov, Frank Platte, Dirk P. Bockmühl
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:AI
Subjects:
Raman
convolutional neural network
Grad-CAM
microorganisms
carotenoids
conidia
Online Access:https://www.mdpi.com/2673-2688/4/1/6

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