Raman spectra‐based deep learning: A tool to identify microbial contamination

Deep learning has the potential to enhance the output of in‐line, on‐line, and at‐line instrumentation used for process analytical technology in the pharmaceutical industry. Here, we used Raman spectroscopy‐based deep learning strategies to develop a tool for detecting microbial contamination. We bu...

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Detalles Bibliográficos
Autores principales: Maruthamuthu, Murali K., Raffiee, Amir Hossein, De Oliveira, Denilson Mendes, Ardekani, Arezoo M., Verma, Mohit S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658449/
https://www.ncbi.nlm.nih.gov/pubmed/33063423
http://dx.doi.org/10.1002/mbo3.1122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658449/
https://www.ncbi.nlm.nih.gov/pubmed/33063423
http://dx.doi.org/10.1002/mbo3.1122

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