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Raman Microscopic Identification of Microorganisms on Metal Surfaces via Support Vector Machines
An easy, inexpensive, and rapid method to identify microorganisms is in great demand in various areas such as medical diagnostics or in the food industry. In our study, we show the development of several predictive models based on Raman spectroscopy combined with support vector machines (SVM) for 21...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954127/ https://www.ncbi.nlm.nih.gov/pubmed/35336131 http://dx.doi.org/10.3390/microorganisms10030556 |