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Implementation of new software for fast screening of cell compatibility on surface modifications using low-contrast time-lapsed microscopy

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Abstract

Assessment of cell adhesion and cell size provides valuable information on surface biocompatibility. However, most investigations on cell morphology dynamics are time and resource consuming, of rather descriptive character and lack procedures for appropriate quantification. The aim of the study was to develop a software programme which allows automated cell segmentation and identification as well as calculation and further processing of cell size in low-contrast images. The software utilises modified edge detection and morphologic operations for automatic cell analysis in light microscopy images. In an application study, osteogenic cell-adhesion dynamics were quantified for the ECM proteins collagen type I (COL) and fibronectin (FIB) over a period of 12 hrs. Untreated tissue culture polystyrene (TCPS) served as control. The software programme proofed full function in automatic cell tracking and quantification of cell size. After 11 h, cell sizes were highest for COL (6391 ± 1167 µm2) and FIB (6036 ± 411 µm2) compared with TCPS (3261 ± 693 µm2). The developed software allows quantification of initial cell size changes on translucent surface modifications and is suitable as a reliable tool for fast biocompatibility screening. Osteogenic cell adhesion was significantly promoted by COL and FIB indicating the potential of respective functionalized biomaterial surfaces.

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Acknowledgements

The authors would like to thank Monika Herr from the Department of Neurosurgery, University Hospital Mainz, Germany, for her excellent technical assistance during the whole project.

This project is supported by a grant from the German Association of Implantology (Deutsche Gesellschaft für Implantologie, DGI).

All authors disclose any actual or potential conflict of interest including any financial, personal or other relationships with other people or organisations within that could inappropriately influence this work.

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Authors and Affiliations

  1. Department of Oral Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Augustusplatz 2, 55131, Mainz, Germany

    Dan Dominik Brüllmann & Bernd d’Hoedt

  2. Department of Oral and Maxillofacial Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Augustusplatz 2, 55131, Mainz, Germany

    Marc O. Klein, Bilal Al-Nawas, Verena Büsser & Wilfried Wagner

  3. Department of Neurosurgery, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131, Mainz, Germany

    Sigrid Horn

  4. Department of Physics, Mathematics and Computer Science, Johannes Gutenberg-University Mainz, Staudingerweg 9, 55099, Mainz, Germany

    Barbara Jung

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  1. Dan Dominik Brüllmann
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  2. Marc O. Klein
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Correspondence to Dan Dominik Brüllmann.

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Brüllmann, D.D., Klein, M.O., Al-Nawas, B. et al. Implementation of new software for fast screening of cell compatibility on surface modifications using low-contrast time-lapsed microscopy. Clin Oral Invest 14, 499–506 (2010). https://doi.org/10.1007/s00784-009-0339-4

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  • DOI: https://doi.org/10.1007/s00784-009-0339-4

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