Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples
Aman Yadav, Arlin Birkby, Noah Armstrong, Assame Arnob, Ming-Hsun Chou, Alma Fernandez, Aart J. Verhoef, Zhenhuan Yi, Siddhant Gulati, Siddhi Kotnis, Qing Sun, Katy C. Kao, Hung‐Jen Wu
This study evaluates how experimental factors affect ML-assisted Raman spectroscopy classification accuracy, finding that data quality and spectral similarity are key limitations.
ACS Omega · Jul 30, 2026Peer-reviewedBioinformatics