Discrimination of urinary tract infection bacteria using redox imaging

Anandh Sundaramoorthy; Einstein Gnanatheepam; Kailasha Purushothaman; Aruna Prakasa Rao; Bharanidaran Ganesan; Ganesan Singaravelu

doi:10.1117/12.2583092

5 March 2021 Discrimination of urinary tract infection bacteria using redox imaging

Anandh Sundaramoorthy, Einstein Gnanatheepam, Kailasha Purushothaman, Aruna Prakasa Rao, Bharanidaran Ganesan, Ganesan Singaravelu

Author Affiliations +

Proceedings Volume 11648, Multiphoton Microscopy in the Biomedical Sciences XXI; 116480L (2021) https://doi.org/10.1117/12.2583092
Event: SPIE BiOS, 2021, Online Only

Abstract

Urinary tract infections (UTI) are one of the frequently encountered infections in clinical practice. As there are different strains of bacteria responsible for UTI, the identification of types of bacterial is necessary to administer a proper antibiotic. Conventional staining and biochemical methods for the identification of bacteria are time-consuming and it usually leads to administer patients with broad-spectrum antibiotics which are less effective and expensive. In this regard, Multiphoton fluorescence imaging based on the distribution of NADH and FAD in several bacterial species isolated from UTI is carried out. Metabolic imaging based on fluorescence enables to analyze both biochemical distribution and their conformation. Spectral deconvolution method is used to isolate fluorescence emission from the coenzymes NADH and FAD to generate redox imaging. Further, redox imaging of bacteria was analyzed using different machine learning algorithms to improve the accuracy of classification. The results of this study revealed that the proposed technique of redox imaging was found to discriminate bacterial species. As the proposed method is both effective and less time consuming, the proposed method may be considered for real-time classification of bacterial species in the clinical setup.

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Anandh Sundaramoorthy, Einstein Gnanatheepam, Kailasha Purushothaman, Aruna Prakasa Rao, Bharanidaran Ganesan, and Ganesan Singaravelu "Discrimination of urinary tract infection bacteria using redox imaging", Proc. SPIE 11648, Multiphoton Microscopy in the Biomedical Sciences XXI, 116480L (5 March 2021); https://doi.org/10.1117/12.2583092

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