Characterization of bacteria causing acute otitis media using Raman microspectroscopy

Ayala, Oscar D.; Wakeman, Catherine A.; Pence, Isaac J.; O’Brien, C.; Werkhaven, Jay A.; Skaar, Eric P.; Mahadevan‐Jansen, Anita

doi:10.1039/c7ay00128b

Cited by 11 publications

(16 citation statements)

References 30 publications

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“…A Raman microscope (inVia Raman Microscope, Renishaw plc, Gloucestershire, UK) with an 830 nm laser diode was used for spectral measurements . For bacterial colonies, a 100× objective (N PLAN EPI, NA = 0.85; Leica, Wetzlar, Germany) was used to focus the laser at ~12 mW.…”

Section: Methodsmentioning

confidence: 99%

“…Fetal membrane tissue spectra were measured using a 50X objective (N PLAN EPI, NA = 0.75, Leica) to focus a 40 μm laser line on the sample at ~23 mW. Raman scattered light was detected as previously described with a spectral resolution of ~1 cm −1 .…”

Section: Methodsmentioning

confidence: 99%

“…Spectral data processing prior to analysis including fluorescence background subtraction and noise smoothing was performed as previously described . A 9th degree modified polynomial fit was used for spectral measurements from GBS colonies and tissue model.…”

Section: Methodsmentioning

confidence: 99%

“…A machine learning algorithm, sparse multinomial logistic regression (SMLR) , was utilized to discriminate across the different tissues . Briefly, training data were compiled based on RμS measurements of the fetal membrane tissues.…”

Section: Methodsmentioning

confidence: 99%

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Raman microspectroscopy differentiates perinatal pathogens on ex vivo infected human fetal membrane tissues

Ayala

Doster

Manning

et al. 2019

Journal of Biophotonics

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Streptococcus agalactiae, also known as Group B Streptococcus (GBS), is a major cause of chorioamnionitis and neonatal sepsis. This study evaluates Raman spectroscopy (RS) to identify spectral characteristics of infection and differentiate GBS from Escherichia coli and Staphylococcus aureus during ex vivo infection of human fetal membrane tissues. Unique spectral features were identified from colonies grown on agar and infected fetal membrane tissues. Multinomial logistic regression analysis accurately identified GBS infected tissues with 100.0% sensitivity and 88.9% specificity. Together, these findings support further investigation into the use of RS as an emerging microbiologic diagnostic tool and intrapartum screening test for GBS carriage.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Raman microspectroscopy differentiates perinatal pathogens on ex vivo infected human fetal membrane tissues

Ayala

Doster

Manning

et al. 2019

Journal of Biophotonics

View full text Add to dashboard Cite

show abstract

“…These shorter wavelengths also enable higher lateral and axial resolution (<1 um), allowing for identification from smaller sample volumes and even single cells. Like FTIR, most studies utilizing RS for bacterial detection have relied on the micro-spectroscopic identification of reference strains or clinical isolates [68][69][70][71]. The ability of Raman micro-spectroscopy to probe bacterial cells in liquid suspension has drawn significant interest in the culture-free identification of bacteria directly from patient fluids.…”

Section: Infrared Spectroscopymentioning

confidence: 99%

Advances in Optical Detection of Human-Associated Pathogenic Bacteria

2020

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Bacterial infection is a global burden that results in numerous hospital visits and deaths annually. The rise of multi-drug resistant bacteria has dramatically increased this burden. Therefore, there is a clinical need to detect and identify bacteria rapidly and accurately in their native state or a culture-free environment. Current diagnostic techniques lack speed and effectiveness in detecting bacteria that are culture-negative, as well as options for in vivo detection. The optical detection of bacteria offers the potential to overcome these obstacles by providing various platforms that can detect bacteria rapidly, with minimum sample preparation, and, in some cases, culture-free directly from patient fluids or even in vivo. These modalities include infrared, Raman, and fluorescence spectroscopy, along with optical coherence tomography, interference, polarization, and laser speckle. However, these techniques are not without their own set of limitations. This review summarizes the strengths and weaknesses of utilizing each of these optical tools for rapid bacteria detection and identification.

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In vivo detection of endotracheal tube biofilms in intubated critical care patients using catheter‐based optical coherence tomography

Dsouza

Spillman

Barkalifa

et al. 2019

Journal of Biophotonics

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The formation of biofilms in the endotracheal tubes (ETTs) of intubated patients on mechanical ventilation is associated with a greater risk of ventilator‐associated pneumonia and death. New technologies are needed to detect and monitor ETTs in vivo for the presence of these biofilms. Longitudinal OCT imaging was performed in mechanically ventilated subjects at 24‐hour intervals until extubation to detect the formation and temporal changes of in vivo ETT biofilms. OCT‐derived attenuation coefficient images were used to differentiate between mucus and biofilm. Extubated ETTs were examined with optical and electron microscopy, and all imaging results were correlated with standard‐of‐care clinical test reports. OCT and attenuation coefficient images from four subjects were positive for ETT biofilms and were negative for two subjects. The processed and stained extubated ETTs and clinical reports confirmed the presence/absence of biofilms in all subjects. Our findings confirm that OCT can detect and differentiate between biofilm‐positive and biofilm‐negative groups (P < 10−5). OCT image‐based features may serve as biomarkers for direct in vivo detection of ETT biofilms and help drive investigation of new management strategies to reduce the incidence of VAP.

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Characterization of bacteria causing acute otitis media using Raman microspectroscopy

Cited by 11 publications

References 30 publications

Raman microspectroscopy differentiates perinatal pathogens on ex vivo infected human fetal membrane tissues

Raman microspectroscopy differentiates perinatal pathogens on ex vivo infected human fetal membrane tissues

Advances in Optical Detection of Human-Associated Pathogenic Bacteria

In vivo detection of endotracheal tube biofilms in intubated critical care patients using catheter‐based optical coherence tomography

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