Imaging of endodontic biofilms by combined microscopy (FISH/cLSM – SEM)

Schaudinn, Christoph; Carr, Gary B.; Gorur, Amita; Jaramillo, David E.; Costerton, J. W.; Webster, Paul

doi:10.1111/j.1365-2818.2009.03201.x

Cited by 74 publications

(62 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…At biointerfaces, for instance, the distribution of small functional ions such as , or small organic molecules such as glucose and phospholipid molecules remains unclear. This is despite the use of many in situ techniques such as atomic force microscopy [1,2], fluorescence [3,4], Raman [5], infrared [6,7], and surface plasmon resonance [8].…”

mentioning

confidence: 99%

Improving the Molecular Ion Signal Intensity for In Situ Liquid SIMS Analysis

Zhou

Yao

Ding

et al. 2016

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

Abstract. In situ liquid secondary ion mass spectrometry (SIMS) enabled by system for analysis at the liquid vacuum interface (SALVI) has proven to be a promising new tool to provide molecular information at solid-liquid and liquid-vacuum interfaces. However, the initial data showed that useful signals in positive ion spectra are too weak to be meaningful in most cases. In addition, it is difficult to obtain strong negative molecular ion signals when m/z>200. These two drawbacks have been the biggest obstacle towards practical use of this new analytical approach. In this study, we report that strong and reliable positive and negative molecular signals are achievable after optimizing the SIMS experimental conditions. Four model systems, including a 1,8-diazabicycloundec-7-ene (DBU)-base switchable ionic liquid, a live Shewanella oneidensis biofilm, a hydrated mammalian epithelia cell, and an electrolyte popularly used in Li ion batteries were studied. A signal enhancement of about two orders of magnitude was obtained in comparison with non-optimized conditions. Therefore, molecular ion signal intensity has become very acceptable for use of in situ liquid SIMS to study solid-liquid and liquid-vacuum interfaces.

show abstract

mentioning

confidence: 99%

Improving the Molecular Ion Signal Intensity for In Situ Liquid SIMS Analysis

Zhou

Yao

Ding

et al. 2016

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

show abstract

“…CA and EF have the ability to grow as mono-infections because they are microorganisms with multiple pathogenicity factors, such as adhesion proteases, resistance to high temperature ranges, tolerance to wide pH ranges; additionally, they were able to survive nutrient shortage. These features demonstrate that they are aggressive microorganisms, not depending on bacterial interactions for their development and growth [27,28].…”

Section: Discussionmentioning

confidence: 99%

Ex vivo model for studying polymicrobial biofilm formation in root canals

et al. 2017

View full text Add to dashboard Cite

Endodontic disease has mainly a microbial origin. It is caused by biofilms capable of attaching and surviving in the root canal. Therefore, it is important to study the conditions in which those biofilms grow, develop and colonize the root canal system. However, few studies have used natural teeth as models, which would take into account the root canal anatomical complexity and simulate the clinical reality. In this study, we used human premolar root canals to standardize in vitro biofilm optimal formation conditions for microorganisms such as Enterococcus faecalis, Staphylococcus aureus and Candida albicans. 128 lower premolars underwent canal preparation using K-type files, and were treated with 5.25% sodium hypochlorite and EDTA. Samples were inoculated with microorganisms and incubated for 15, 30, 45, and 60 days under anaerobiosis (CO2 atmosphere) and aerobiosis. Microorganism presence was confirmed by Gram staining, cell culture, and electron microscopy. Exopolysaccharide matrix and microorganism aggregation were observed following 15 days of incubation. Bacterial growth towards the apical third of the root canal and biofilm maturation was detected after 30 days. CO2 atmosphere favored microbial growth the most. In vitro biofilm maturation was confirmed after 30 days of incubation under a CO2 atmosphere for both bacteria and yeast.

show abstract

“…It is revealed that often combined approaches e.g. SEM and CLSM give better characterisation rather than using a single imaging technique, as reported in 85 .…”

mentioning

confidence: 90%

Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterization of Scanning Electron Microscopy Images

Sinha

Das

Tarafdar

et al. 2017

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Abstract:The present paper proposes a novel method of quantification of the variation in biofilm architecture, in correlation with the alteration of growth conditions that include, variations of substrate and conditioning layer. The polymeric biomaterial serving as substrates are widely used in implants and indwelling medical devices, while the plasma proteins serve as the conditioning layer. The present method uses descriptive statistics of FESEM images of biofilms obtained during a variety of growth conditions. We aim to explore here the texture and fractal analysis techniques, to identify the most discriminatory features which are capable of predicting the difference in biofilm growth conditions. We initially extract some statistical features of biofilm images on bare polymer surfaces, followed by those on the same substrates adsorbed with two different types of plasma proteins, viz. Bovine serum albumin (BSA) and Fibronectin (FN), for two different adsorption times. The present analysis has the potential to act as a futuristic technology for developing a computerized monitoring system in hospitals with automated image analysis and feature extraction, which may be used to predict the growth profile of an emerging biofilm on surgical implants or similar medical applications.

show abstract

Imaging of endodontic biofilms by combined microscopy (FISH/cLSM – SEM)

Cited by 74 publications

References 25 publications

Improving the Molecular Ion Signal Intensity for In Situ Liquid SIMS Analysis

Improving the Molecular Ion Signal Intensity for In Situ Liquid SIMS Analysis

Ex vivo model for studying polymicrobial biofilm formation in root canals

Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterization of Scanning Electron Microscopy Images

Contact Info

Product

Resources

About