Micro-Raman spectroscopy for identification and classification of UTI bacteria

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

doi:10.1117/12.2282469

Micro-Raman spectroscopy for identification and classification of UTI bacteria

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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).

Original language	English
Title of host publication	European Conference on Biomedical Optics, ECBO 2017
Publisher	OSA - The Optical Society
Volume	Part F61-ECBO 2017
ISBN (Electronic)	9781557528209
DOIs	https://doi.org/10.1117/12.2282469
Publication status	Published - 01-01-2017
Event	European Conference on Biomedical Optics, ECBO 2017 - Munich, Germany Duration: 25-06-2017 → 29-06-2017

Conference

Conference	European Conference on Biomedical Optics, ECBO 2017
Country/Territory	Germany
City	Munich
Period	25-06-17 → 29-06-17

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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10.1117/12.2282469

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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",

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volume = "Part F61-ECBO 2017",

booktitle = "European Conference on Biomedical Optics, ECBO 2017",

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Yogesha, M, Chawla, K, Acharya, M, Chidangil, S & Bankapur, A 2017, Micro-Raman spectroscopy for identification and classification of UTI bacteria. in European Conference on Biomedical Optics, ECBO 2017. vol. Part F61-ECBO 2017, OSA - The Optical Society, European Conference on Biomedical Optics, ECBO 2017, Munich, Germany, 25-06-17. https://doi.org/10.1117/12.2282469

TY - GEN

T1 - Micro-Raman spectroscopy for identification and classification of UTI bacteria

AU - Yogesha, M.

AU - Chawla, Kiran

AU - Acharya, Mahendra

AU - Chidangil, Santhosh

AU - Bankapur, Aseefhali

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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).

AB - 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).

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U2 - 10.1117/12.2282469

DO - 10.1117/12.2282469

M3 - Conference contribution

AN - SCOPUS:85032269598

VL - Part F61-ECBO 2017

BT - European Conference on Biomedical Optics, ECBO 2017

PB - OSA - The Optical Society

T2 - European Conference on Biomedical Optics, ECBO 2017

Y2 - 25 June 2017 through 29 June 2017

ER -

Micro-Raman spectroscopy for identification and classification of UTI bacteria

Abstract

Conference

All Science Journal Classification (ASJC) codes

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