Micro-Raman spectroscopy for identification and classification of UTI bacteria

Yogesha M.; Kiran Chawla; Mahendra Acharya; Santhosh Chidangil; Aseefhali Bankapur

doi:10.1117/12.2282469

28 July 2017 Micro-Raman spectroscopy for identification and classification of UTI bacteria

Yogesha M., Kiran Chawla, Mahendra Acharya, Santhosh Chidangil, Aseefhali Bankapur

Proceedings Volume 10411, Clinical and Preclinical Optical Diagnostics; 104110M (2017) https://doi.org/10.1117/12.2282469
Event: European Conferences on Biomedical Optics, 2017, Munich, Germany

Abstract

Urinary tract infection (UTI) is one of the major clinical problems known to mankind, especially among adult women. Conventional methods for identification of UTI causing bacteria are time consuming and expensive. Therefore, a rapid and cost-effective method is desired. In the present study, five bacteria (one Gram-positive and four Gram-negative), most commonly known to cause UTI, have been identified and classified using micro-Raman spectroscopy combined with principal component analysis (PCA).

Citation Download Citation

Yogesha M., Kiran Chawla, Mahendra Acharya, Santhosh Chidangil, and Aseefhali Bankapur "Micro-Raman spectroscopy for identification and classification of UTI bacteria", Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110M (28 July 2017); https://doi.org/10.1117/12.2282469

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