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
N1 - Publisher Copyright:
© 2017 SPIE-OSA.
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).
UR - http://www.scopus.com/inward/record.url?scp=85032269598&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032269598&partnerID=8YFLogxK
U2 - 10.1117/12.2282469
DO - 10.1117/12.2282469
M3 - Conference contribution
AN - SCOPUS:85032269598
VL - Part F61-ECBO 2017
T3 - Optics InfoBase Conference Papers
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 -