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^*

^*Corresponding author for this work

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
Editors	J. Quincy Brown, Ton G. van Leeuwen
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

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10411
ISSN (Print)	1605-7422

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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Yogesha, M., Chawla, K., Acharya, M., Chidangil, S., & Bankapur, A. (2017). Micro-Raman spectroscopy for identification and classification of UTI bacteria. In J. Q. Brown, & T. G. van Leeuwen (Eds.), Clinical and Preclinical Optical Diagnostics (Vol. 10411). Article 104110M (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10411). SPIE. https://doi.org/10.1117/12.2282469

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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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Yogesha, M, Chawla, K, Acharya, M, Chidangil, S & Bankapur, A 2017, Micro-Raman spectroscopy for identification and classification of UTI bacteria. in JQ Brown & TG van Leeuwen (eds), Clinical and Preclinical Optical Diagnostics. vol. 10411, 104110M, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10411, SPIE, Clinical and Preclinical Optical Diagnostics 2017, Munich, Germany, 25-06-17. https://doi.org/10.1117/12.2282469

Micro-Raman spectroscopy for identification and classification of UTI bacteria. / Yogesha, M.; Chawla, Kiran; Acharya, Mahendra et al.
Clinical and Preclinical Optical Diagnostics. ed. / J. Quincy Brown; Ton G. van Leeuwen. Vol. 10411 SPIE, 2017. 104110M (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10411).

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

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AU - Chidangil, Santhosh

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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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T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

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ER -

Micro-Raman spectroscopy for identification and classification of UTI bacteria

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