@inproceedings{8bbe0a72de1e48be9ed185659260867f,
title = "Micro-Raman spectroscopy for identification and classification of UTI bacteria",
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).",
author = "M. Yogesha and Kiran Chawla and Mahendra Acharya and Santhosh Chidangil and Aseefhali Bankapur",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Clinical and Preclinical Optical Diagnostics 2017 ; Conference date: 25-06-2017 Through 27-06-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1117/12.2282469",
language = "English",
volume = "10411",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Brown, {J. Quincy} and {van Leeuwen}, {Ton G.}",
booktitle = "Clinical and Preclinical Optical Diagnostics",
address = "United States",
}