ArticleMicrobiologyOpen2020
Raman spectra-based deep learning: A tool to identify microbial contamination.
Article in MicrobiologyOpen, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 92 citations in OpenAlex.
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- Microbial biobanking: safeguarding the tiny treasures for sustainable human welfare.Folia microbiologica · 2026Review
- Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging.Scientific reports · 2025Article
- A Setup for Automatic Raman Measurements in High-Throughput Experimentation.Biotechnology and bioengineering · 2025Article
- Transfer-Learning Deep Raman Models Using Semiempirical Quantum Chemistry.Journal of chemical information and modeling · 2025Article
- Limit of Detection of Raman Spectroscopy Using Polystyrene Particles from 25 to 1000 nm in Aqueous Suspensions.Analytical chemistry · 2025Article
- Using Infrared Raman Spectroscopy with Machine Learning and Deep Learning as an Automatic Textile-Sorting Technology for Waste Textiles.Sensors (Basel, Switzerland) · 2024Article
- Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes.Chemical & biomedical imaging · 2024Article
- RamanFormer: A Transformer-Based Quantification Approach for Raman Mixture Components.ACS omega · 2024Article
- Comprehensive modeling of cell culture profile using Raman spectroscopy and machine learning.Scientific reports · 2023Article
- Article
- Nano-Biotechnology for Bacteria Identification and Potent Anti-bacterial Properties: A Review of Current State of the Art.Nanomaterials (Basel, Switzerland) · 2023Review
- A microfluidic approach for label-free identification of small-sized microplastics in seawater.Scientific reports · 2023Article
- Design, Fabrication, and Applications of SERS Substrates for Food Safety Detection: Review.Micromachines · 2023Review
- Predicting microbe organisms using data of living micro forms of life and hybrid microbes classifier.PloS one · 2023Article
- Characterizing viral samples using machine learning for Raman and absorption spectroscopy.MicrobiologyOpen · 2022Article
- Raman Spectroscopy in Open-World Learning Settings Using the Objectosphere Approach.Analytical chemistry · 2022Article
- RamanNet: a lightweight convolutional neural network for bacterial identification based on Raman spectra.RSC advances · 2022Article
- Design of 3D-Printed Electronic Fiber Optic Sensor to Detect Rhodamine B Reagent: An Initiation to Potential Virus Detection.Biomimetics (Basel, Switzerland) · 2022Article
- Plant-Derived Antiviral Compounds as Potential Entry Inhibitors against Spike Protein of SARS-CoV-2 Wild-Type and Delta Variant: An Integrative in SilicoApproach.Molecules (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 contamination. We built a Raman dataset for microorganisms that are common contaminants in the pharmaceutical industry for Chinese Hamster Ovary (CHO) cells, which are often used in the production of biologics. Using a convolution neural network (CNN), we classified the different samples comprising individual microbes and microbes mixed with CHO cells with an accuracy of 95%-100%. The set of 12 microbes spans across Gram-positive and Gram-negative bacteria as well as fungi. We also created an attention map for different microbes and CHO cells to highlight which segments of the Raman spectra contribute the most to help discriminate between different species. This dataset and algorithm provide a route for implementing Raman spectroscopy for detecting microbial contamination in the pharmaceutical industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.