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

1 Citation (Scopus)

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	Clinical and Preclinical Optical Diagnostics
Publisher	SPIE
Volume	10411
ISBN (Electronic)	9781510612808
DOIs	https://doi.org/10.1117/12.2282469
Publication status	Published - 01-01-2017
Event	Clinical and Preclinical Optical Diagnostics 2017 - Munich, Germany Duration: 25-06-2017 → 27-06-2017

Conference

Conference	Clinical and Preclinical Optical Diagnostics 2017
Country/Territory	Germany
City	Munich
Period	25-06-17 → 27-06-17

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

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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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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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DO - 10.1117/12.2282469

M3 - Conference contribution

AN - SCOPUS:85033574879

VL - 10411

BT - Clinical and Preclinical Optical Diagnostics

PB - SPIE

T2 - Clinical and Preclinical Optical Diagnostics 2017

Y2 - 25 June 2017 through 27 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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