An algorithm-based topographical biomaterials library to instruct cell fate

By H. Unadkat, Marc Hulsman, Kamiel Cornelissen, B. Papenburg, R. Truckenmüller, Anne E Carpenter, Matthias Wessling, G. Post, M. Uetz, Marcel J. T. Reinders and 3 more. Proceedings of the National Academy of Sciences of the United States of America, 2011

370 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Biophysics, Cell Biology

View Paper: https://www.semanticscholar.org/paper/31cd1ff57fa05561f085a1911cd385af584b8742

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In Biomedical Engineering

1. Matthew J. Dalby
2. M. Surmeneva
3. R. Surmenev
4. A. Ivanova
5. Nikolaj Gadegaard

In Cell Biology

1. Matthew J. Dalby
2. R. Oreffo
3. Nikolaj Gadegaard

Citations in the corpus

• Significance of calcium phosphate coatings for the enhancement of new bone osteogenesis--a review. (2014, methodology): “In the study [303] mathematical algorithms to design nonbiased, random surface features and produce chips of poly(lactic acid) with 2,176 different topographies were used.”
• Harnessing nanotopography and integrin-matrix interactions to influence stem cell fate. (2014, methodology): “microscopy [25, 72] and the use of microfabricated post-array detectors [113, 117].”