Work

Hyperspectral Biofilm Dataset for Opportunistic Pathogen Identification

Year: 2026

Type: dataset

Abstract: The dataset comprises hyperspectral images of biofilm models created with various Gram-positive, Gram-negative bacteria, and microscopic fungi. Models range in complexity from mono-species cultures to randomly formed mixed biofilms, incorporating both ATCC strains and clinical isolates. The dataset supports research into non-contact identification of opportunistic pathogens within biofilm communities.The detailed description of the dataset and research are provided in the following paper:Bogachev, M. I., Baranov, P. S., Sinitca, A. M., Mironova, A. V., Sharivzyanov, D. R., Basmanov, A. A., Trizna, E. J., Gorshkova, A. S., Pyko, N. S., & Kayumov, A. R. (2026). Non-contact identification of opportunistic pathogens in mixed biofilm contaminations by hyperspectral imaging. Analytica Chimica Acta, 345098. https://doi.org/10.1016/j.aca.2026.345098

Source: Figshare

DOI: 10.6084/m9.figshare.28695569

Authors: Bogachev, Mikhail, Baranov, Pavel, Sinitca, Aleksandr, Mironova, Anna V., Sharivzyanov, Dmitry, Basmanov, Alexander, Gorshkova, Anna, Trizna, Elena, Kayumov, Airat

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7123940437

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