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Updated: Jan 24, 2026

Covalent Binding of BMP-2 on Surfaces Using a Self-assembled Monolayer Approach
Published on: August 26, 2013
Persistent Homology to Quantify the Quality of Surface-Supported Covalent Networks
Abraham Gutierrez1, Mickaël Buchet1, Sylvain Clair2
1Institute of Discrete Mathematics, Graz University of Technology, Steyrergasse 30, 8010, Graz, Austria.
Abstract:
Covalent networks formed by on-surface synthesis usually suffer from the presence of a large number of defects. We report on a methodology to characterize such two-dimensional networks from their experimental images obtained by scanning probe microscopy. The computation is based on a persistent homology approach and provides a quantitative score indicative of the network homogeneity. We compare our scoring method with results previously obtained using minimal spanning tree analyses and we apply it to some molecular systems appearing in the existing literature.
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