Authors:

Ameya Vikram Bhargava

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About Paper:

Hyperspectral imaging (HSI) enables spatial acquisition with full spectral profiles at each pixel, allowing for the label-free identification of bacterial strains based on their unique spectral signatures. In this study, we applied HSI to distinguish between different bacterial strains by analyzing their unique spectral signatures. Specifically, we evaluated Escherichia coli (HCB1736) and Pseudomonas elyakovii (ATCC 7006519), two representative strains with known biochemical differences. Our findings demonstrated that each strain exhibited a consistent and distinct spectral pattern, with HCB1736 showing a spectral intensity peak within the 640- 660 nm range, while ATCC 7006519 displayed a broader spectral signature across the 605-615 nm range. These results were reproducible across multiple experimental runs. Compared to conventional techniques such as PCR and gel electrophoresis, HSI significantly reduced the time required for strain-level identification. This method presents a promising alternative for rapid bacterial screening, with potential applications in microbiological diagnostics and contamination monitoring. Future work will expand to include additional strains to validate the robustness and scalability of this approach. Keywords: Hyperspectral Imaging; Spectral Profiles; Label-Free

Source:

Purdue University / 2025

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Co-authors:

Ameya Vikram Bhargava