Samples Analyzed:
- Bacteria were cultured on agar plates and transferred directly to sterilized CaF₂ slides for consistent preparation.
- The study targeted key bacterial strains, including E. coli, MRSE, MSSE, and S. lugdunensis.
- Using Raman maps and machine learning, the system achieved 98.6% accuracy in bacterial classification with a reduced exposure time of 0.2 seconds per spectrum.
Lightnovo’s compact Raman technology offers precision, speed, and accessibility, setting a new standard for bacterial diagnostics. Discover how this innovative solution can enhance your research and diagnostic capabilities.
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