Mikael Lassen

Interpretable Spectral Transformer for Raman-Based Bacterial Identification Across Species and Strains

Raman spectroscopy combined with machine learning offers a rapid, label-free approach for bacterial identification, but robust translation remains challenged by spectral variability, biological heterogeneity, and limited model interpretability. Here, we present an integrated eval...