Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Clarke, Professor Stuart

  • Google
  • 1
  • 10
  • 6

University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2016Development of X-ray micro-focus computed tomography to image and quantify biofilms in central venous catheter models in vitro6citations

Places of action

Chart of shared publication
Thurner, Philipp J.
1 / 5 shared
Stoodley, Paul
1 / 12 shared
Bull, Daniel
1 / 4 shared
Faust, Saul
1 / 2 shared
Calton, Elizabeth
1 / 1 shared
Johnston, David
1 / 2 shared
Jones, Gareth L.
1 / 1 shared
Howlin, Robert
1 / 1 shared
Niehaus, Wilmari
1 / 1 shared
Mavrogordato, Mark
1 / 8 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Thurner, Philipp J.
  • Stoodley, Paul
  • Bull, Daniel
  • Faust, Saul
  • Calton, Elizabeth
  • Johnston, David
  • Jones, Gareth L.
  • Howlin, Robert
  • Niehaus, Wilmari
  • Mavrogordato, Mark
OrganizationsLocationPeople

article

Development of X-ray micro-focus computed tomography to image and quantify biofilms in central venous catheter models in vitro

  • Clarke, Professor Stuart
  • Thurner, Philipp J.
  • Stoodley, Paul
  • Bull, Daniel
  • Faust, Saul
  • Calton, Elizabeth
  • Johnston, David
  • Jones, Gareth L.
  • Howlin, Robert
  • Niehaus, Wilmari
  • Mavrogordato, Mark
Abstract

Bacterial infections of central venous catheters (CVCs) cause much morbidity and mortality, and are usually diagnosed by concordant culture of blood and catheter tip. However, studies suggest that culture often fails to detect biofilm bacteria. This study optimises X-ray micro computed tomography (X-ray µCT) for the quantification and determination of distribution and heterogeneity of biofilms in in vitro central venous catheter (CVC) model systems.<br/><br/>Bacterial culture and scanning electron microscopy (SEM) were used to detect Staphylococcus epidermidis ATCC 35984 biofilms grown on catheters in vitro in both flow and static biofilm models. Alongside this, X-ray µCT techniques were developed in order to detect biofilms inside CVCs. Various contrast agent stains were evaluated using energy dispersive X-ray spectroscopy (EDS) to further optimise these methods. Catheter material and biofilm were segmented using a semi-automated MATLAB script and quantified using the Avizo Fire software package.<br/><br/>X-ray µCT was capable of distinguishing between the degree of biofilm formation across different segments of a CVC flow model. EDS screening of single and dual compound contrast stains identified 10 nm gold and silver nitrate as the optimum contrast agent for X-ray µCT. This optimised method was then demonstrated to be capable of quantifying biofilms in an in vitro static biofilm formation model, with a strong correlation between biofilm detection via SEM and culture.<br/><br/>X-ray µCT has good potential as a direct, non-invasive, non-destructive technology to image biofilms in CVCs, as well as other in vivo medical components in which biofilms accumulate in concealed areas.

Topics
  • compound
  • silver
  • scanning electron microscopy
  • tomography
  • gold
  • Energy-dispersive X-ray spectroscopy