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Now showing items 1-6 of 6
Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed and biofilm development
(The University of Nottingham, 2020-09-01)
Dataset contains raw and processed data used for the creation of figures in publication entitled 'Single cell tracking on polymer microarray reveals the impact of surface chemistry on Pseudomonas aeruginosa twitching speed ...
Fungal biofilm formation on potential anti-attachment materials
(The University of Nottingham, 2020-06-02)
(Meth)acrylate polymers showing the lowest fungal attachment (from a preceding microarray-spot screen) were assayed by scale-up to coat the 6.4-mm diameter wells of 96-well plates. Polymers showing surface cracking were ...
Data for Discovery of synergistic material-topography combinations to achieve immunomodulatory osteoinductive biomaterials using a novel in vitro screening method: The ChemoTopoChip
(The University of Nottingham, 2020-09-18)
Human mesenchymal stem cells (hMSCs) are widely represented in regenerative medicine clinical strategies due to their compatibility with autologous implantation. Effective bone regeneration involves crosstalk between ...
Elucidating the molecular landscape of the stratum corneum
(The University of Nottingham, 2022-03-18)
• Characterization of the molecular structure of skin, especially the barrier layer, the stratum corneum using 3D OrbiSIMS. • Understand the chemical variations relating to fundamental biological processes, such as the ...
Evaluation of the relative potential for contact and doffing transmission of SARS-CoV-2 by a range of personal protective equipment materials_supplementary data
(The University of Nottingham, 2022-05-27)
The datasets generated and/or analysed during the study to support publications and reports.
A linear, binary classifier to predict bacterial biofilm formation on polyacrylates
(The University of Nottingham, 2022-09-08)
Datafiles, in Microsoft Excel format, associated with the manuscript "A linear, binary classifier to predict bacterial biofilm formation on polyacrylates" These files contain ToF-SIMS ion peaks and the bacterial attachment ...