ArticleMicrobial biotechnology2025
Microbial Identification Through Multispectral Infrared Imaging of Colonies: A New Type of Morpho-Spectral Fingerprinting.
Article in Microbial biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A functional amyloid matrix underpins the PDIM-architected corded superstructure of thebioRxiv : the preprint server for biology · 2026Article
- Multispectral Infrared Colony Phenotyping for High-Throughput Microbiological Control of Waters.Journal of biophotonics · 2026Article
- WPF-Mamba: wavelet-based progressive multispectral fusion mamba for fine-grained microorganism detection.Frontiers in microbiology · 2026Article
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5 authors.
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Abstract
We describe a proof of concept for a new microbial identification technique using Direct Frequency Infrared (DFIR) multispectral imaging. This approach combines Quantum Cascade Laser (QCL) light sources with a microbolometer array in a lensless configuration to capture detailed multispectral images of microbial colonies. These optical fingerprints blend both morphological and spectral information, without the need for staining or colony picking. A proof-of-concept database was acquired, comprising 10 strains from 8 species across 4 distinct genera. In total, 2253 microbial colonies were imaged at 9 different mid-infrared wavelengths. Machine learning classification correctly identified up to 94.4% ± 1.6 of colonies fingerprints, efficiently discriminating even closely related strains. Reducing the number of wavelengths to 4 maintained high classification performance, demonstrating the method's robustness. The resulting system is faster and simpler than existing FTIR imaging systems, making it a promising tool for microbial identification.
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