A novel method for single bacteria identification by Raman spectroscopy
| Autor: | Isabelle Espagnon, Dorothée Jary, Patricia Claustre, Emmanuelle Schultz, Jean-Marc Dinten, Rémi Perenon, Anne-Catherine Simon, Samy Andrea Strola, Cédric Allier |
|---|---|
| Přispěvatelé: | Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire d'analyse des données et d'intelligence des systèmes (LADIS), Département Métrologie Instrumentation & Information (DM2I), Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)), SPIE |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Normalization (statistics)
Vibrational spectroscopy Materials science [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging 02 engineering and technology spectrum analysis Bacteria identifications Signal Spectral line 03 medical and health sciences symbols.namesake Bacteria identification Nuclear magnetic resonance statistical analysis Chemical analysis Lensfree imaging signal processing Environmental applications Rapid identification 0303 health sciences Background subtraction Spectrometer Bacteria Spectrometers 030306 microbiology business.industry Spectrometry Bacteriology Environmental technology 021001 nanoscience & nanotechnology Fluorescence Large field of views Industrial research Clinical diagnostics Raman spectroscopy symbols Optoelectronics [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] 0210 nano-technology business Luminescence Automatic recognition [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | Proceedings Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry Proceedings Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, Feb 2014, San Francisco, CA, United States. ⟨10.1117/12.2039318⟩ Conference on Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry Conference on Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry, SPIE, Feb 2014, San Francisco, CA, United States. pp.89390D, ⟨10.1117/12.2039318⟩ |
| DOI: | 10.1117/12.2039318⟩ |
| Popis: | Conference of Biomedical Vibrational Spectroscopy VI: Advances in Research and Industry ; Conference Date: 1 February 2014 Through 2 February 2014; Conference Code:103450; International audience; In this paper we present results on single bacteria rapid identification obtained with a low-cost and compact Raman spectrometer. At present, we demonstrate that a 1 minute procedure, including the localization of single bacterium, is sufficient to acquire comprehensive Raman spectrum in the range of 600 to 3300 cm-1. Localization and detection of single bacteria is performed by means of lensfree imaging over a large field of view of 24 mm2. An excitation source of 532 nm and 30 mW illuminates single bacteria to collect Raman signal into a Tornado Spectral Systems prototype spectrometer (HTVS technology). The acquisition time to record a single bacterium spectrum is as low as 10 s owing to the high light throughput of this spectrometer. The spectra processing features different steps for cosmic spikes removal, background subtraction, and gain normalization to correct the residual inducted fluorescence and substrate fluctuations. This allows obtaining a fine chemical fingerprint analysis. We have recorded a total of 1200 spectra over 7 bacterial species (E. coli, Bacillus species, S. epidermis, M. luteus, S. marcescens). The analysis of this database results in a high classification score of almost 90 %. Hence we can conclude that our setup enables automatic recognition of bacteria species among 7 different species. The speed and the sensitivity ( |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|