Health AI Central
Peer-Reviewed Publication
Small Methods2026;e71013.October 14, 2026Journal Article

Non-Perturbative Bacterial Identification Directly From Solid Agar Plates Using Raman Micro-Spectroscopy and Machine Learning.

Jeong Hee Kim1, Jia Dong1, Marissa Morales2, Loza Tadesse1,3,4,5
1Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
2Department of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
3Ragon Institute of MGH, Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.
4Jameel Clinic for AI & Healthcare, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
5Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
PubMed DOI

Abstract

Raman spectroscopy is a promising tool for microbial identification, yet its implementation in microbiology and clinical workflow is still restricted due to the accompanying additional preparation required to focus on microbial signals. Here, we demonstrate Raman-based bacterial identification directly from unopened, inverted agar plates, the same conditions used during incubation. Our approach en…

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