From mBSENS to MbCARE: Building on Proven Foundations
The mBSENS project laid the groundwork by demonstrating that Raman spectroscopy, combined with machine learning, can differentiate bacterial species with high accuracy. It validated the potential of compact Raman systems—such as Lightnovo’s miniRaman platform—to move beyond traditional laboratory environments.With MbCARE, we are now taking this concept further by developing the MbMap system: a compact, user-friendly Raman-based microscope designed specifically for clinical workflows. The goal is ambitious yet clear—enable healthcare professionals to identify bacterial strains within hours rather than days.Current diagnostic methods often rely on culturing samples followed by techniques such as PCR or mass spectrometry. While accurate, these approaches are time-consuming, typically requiring 24–72 hours or more. During this time, infections can spread, treatment may be delayed, and healthcare costs increase significantly.MbCARE addresses this gap by enabling rapid, on-site bacterial screening directly in hospitals and medical practices. By combining fast cultivation methods with high-resolution Raman microscopy and advanced machine learning models, the MbMap system aims to deliver actionable results within 1–2 hours.
A Strong European Collaboration
The collaboration includes:
- Odense University Hospital (OUH) – providing clinical validation, access to bacterial isolates, and real-world testing environments.
- Danish Fundamental Metrology (DFM) – ensuring measurement accuracy, calibration, and machine learning model validation.
- STANDA – contributing advanced opto-mechanical solutions and precision motion systems for clinical-grade devices.
Transforming Clinical Workflows
This approach offers several advantages:
- Speed: Identification of bacterial strains within hours instead of days
- Reduced transmission risk: Faster detection allows earlier intervention
- Cost efficiency: Lower reliance on centralized laboratory testing
- Improved patient outcomes: Faster, targeted treatment decisions
We look forward to sharing further updates as the project progresses and to continuing our collaboration with leading partners across Europe to deliver meaningful innovation in healthcare.

