SERS nanowire chip and machine learning enabled instant identification and classification of clinically relevant wild-type and antibiotic resistant bacteria at species and strain level
S. Das, K. Saxena, J.-C. Tinguely, A. Pal, N. L. Wickramasinghe, A. Khezri, V. K. Dubey, A. Ahmad, P. Vivekanandan, R. Ahmad, D. N. Wadduwage, B. S. Ahluwalia, D. S. Mehta
This paper develops a SERS chip combined with machine learning to rapidly identify and classify bacteria at species and strain levels, including antibiotic-resistant strains.
bioRxiv · Jan 12, 2023Biophysics