http://www.cnr.it/ontology/cnr/individuo/prodotto/ID274105
Combination of fluorescence microscopy and nanomotion detection to characterize bacteria (Articolo in rivista)
- Type
- Label
- Combination of fluorescence microscopy and nanomotion detection to characterize bacteria (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/jmr.2306 (literal)
- Alternative label
Aghayee, S. and Benadiba, C. and Notz, J. and Kasas, S. and Dietler, G. and Longo, G. (2013)
Combination of fluorescence microscopy and nanomotion detection to characterize bacteria
in JMR. Journal of molecular recognition
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Aghayee, S. and Benadiba, C. and Notz, J. and Kasas, S. and Dietler, G. and Longo, G. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Longo, G (Reprint Author), Ecole Polytech Fed Lausanne, Lab Phys Matiere Vivante, EPFL SB IPSB LPMV BSP 414 Cubotron UNIL, CH-1015 Lausanne, Switzerland. Aghayee, S.; Benadiba, C.; Notz, J.; Kasas, S.; Dietler, G.; Longo, G., Ecole Polytech Fed Lausanne, Lab Phys Matiere Vivante, CH-1015 Lausanne, Switzerland. Kasas, S., Univ Lausanne, Dept Neurosci Fondamentales, CH-1015 Lausanne, Switzerland. Longo, G., CNR, Ist Struttura Mat, I-00133 Rome, Italy. (literal)
- Titolo
- Combination of fluorescence microscopy and nanomotion detection to characterize bacteria (literal)
- Abstract
- Antibiotic-resistant pathogens are a major health concern in everyday clinical practice. Because their detection by conventional microbial techniques requires minimally 24h, some of us have recently introduced a nanomechanical sensor, which can reveal motion at the nanoscale. By monitoring the fluctuations of the sensor, this technique can evidence the presence of bacteria and their susceptibility to antibiotics in less than 1h. Their amplitude correlates to the metabolism of the bacteria and is a powerful tool to characterize these microorganisms at low densities. This technique is new and calls for an effort to optimize its protocol and determine its limits. Indeed, many questions remain unanswered, such as the detection limits or the correlation between the bacterial distribution on the sensor and the detection's output. In this work, we couple fluorescence microscopy to the nanomotion investigation to determine the optimal experimental protocols and to highlight the effect of the different bacterial distributions on the sensor. Copyright (c) 2013 John Wiley & Sons, Ltd. (literal)
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