Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore
Abstract
:1. Introduction
2. Material and Methods
2.1. Material
2.2. Track-Etched Nanopore Design
2.3. DNA Detection and Analysis
3. Results and Discussion
4. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Meyer, N.; Janot, J.-M.; Lepoitevin, M.; Smietana, M.; Vasseur, J.-J.; Torrent, J.; Balme, S. Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore. Biosensors 2020, 10, 140. https://doi.org/10.3390/bios10100140
Meyer N, Janot J-M, Lepoitevin M, Smietana M, Vasseur J-J, Torrent J, Balme S. Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore. Biosensors. 2020; 10(10):140. https://doi.org/10.3390/bios10100140
Chicago/Turabian StyleMeyer, Nathan, Jean-Marc Janot, Mathilde Lepoitevin, Michaël Smietana, Jean-Jacques Vasseur, Joan Torrent, and Sébastien Balme. 2020. "Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore" Biosensors 10, no. 10: 140. https://doi.org/10.3390/bios10100140