Raman spectra‐based deep learning: A tool to identify microbial contamination
Abstract 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 contaminati...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-11-01
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| Series: | MicrobiologyOpen |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/mbo3.1122 |