Stain-free artificial intelligence-assisted light microscopy for the identification of leukocyte morphology change in presence of bacteria
This AI-assisted microscopy platform enables rapid, label-free detection of leukocyte activation in response to bacterial infection with minimal sample handling and no requirement for specialized staining or trained technicians. The technology demonstrates potential for accelerating infection diagnosis and could be extended to other pathologies with morphological manifestations.
Authors
- Robert B. Fisher (ORCID: https://orcid.org/0000-0001-6860-9371)
- Holger Schulze (ORCID: https://orcid.org/0000-0002-6446-2824)
- Kay Samuel (ORCID: https://orcid.org/0000-0002-2333-0753)
- Till T. Bachmann (ORCID: https://orcid.org/0000-0001-6121-2021)
- Alexander Hunt
Institutions
- Centre for Inflammation Research (GB)
- Scottish National Blood Transfusion Service (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2026-01-06
- DOI
- https://doi.org/10.3389/fbinf.2025.1725145
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00