ArticleAnalytical and bioanalytical chemistry2022
Parallelized label-free monitoring of cell adhesion on extracellular matrix proteins measured by single colour reflectometry.
Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Spotlight on sensors as tools for biointelligence.Analytical and bioanalytical chemistry · 2026Article
- Reflectometric-based sensor arrays for the screening of kinase-inhibitor interactions and kinetic determination.Analytical and bioanalytical chemistry · 2025Article
- Metasurface-enhanced infrared spectroscopy in multiwell format for real-time assaying of live cells.Lab on a chip · 2023Article
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4 authors.
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Abstract
The understanding of the initial cell adhesion to biomaterials is crucial for the survival of implants. The manifold possibilities to tailor an implant surface and the diverse requirements for different implant applications necessitate a timesaving and highly parallelized analytical methodology. Due to its intrinsic advantages (label-free, time-resolved, robust against temperature fluctuations, and particularly the multiplexing possibilities), single colour reflectometry (SCORE) is used for the first time to investigate cell adhesion to different extracellular matrix protein-coated surfaces. The excellent correlation between the novel SCORE technology and well-established reference methods proves that the results obtained by using this direct optical method are able to reflect the cell binding processes at the transducer surface. Additionally, the high time resolution of SCORE revealed the differences in the adhesion behaviour of the cells on the different extracellular matrix protein-coated glass slides during the initial adsorption phase and during the spreading of the cells on the surfaces. Therefore, we conclude that SCORE is a perfectly suited methodology for studying the entire cell adsorption process, including morphological changes, and shows great potential for other cell-based sensing applications.
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