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David Alsteens

Researcher at Université catholique de Louvain

Publications -  128
Citations -  7801

David Alsteens is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Force spectroscopy & Chemistry. The author has an hindex of 42, co-authored 113 publications receiving 6013 citations. Previous affiliations of David Alsteens include ETH Zurich & Catholic University of Leuven.

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Imaging modes of atomic force microscopy for application in molecular and cell biology

TL;DR: The basic principles, advantages and limitations of the most common AFM bioimaging modes are reviewed, including the popular contact and dynamic modes, as well as recently developed modes such as multiparametric, molecular recognition, multifrequency and high-speed imaging.
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Force probing surfaces of living cells to molecular resolution

TL;DR: How atomic force microscopy can be applied to force probe surfaces of living cells to single-molecule resolution is reviewed to provide unique insight into how cells structurally and functionally modulate the molecules of their surfaces to interact with the cellular environment.
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Molecular interaction and inhibition of SARS-CoV-2 binding to the ACE2 receptor.

TL;DR: It is demonstrated, both on model surfaces and on living cells, that the receptor binding domain (RBD) serves as the binding interface within the S-glycoprotein with the ACE2 receptor and the kinetic and thermodynamic properties of this binding pocket are extracted.
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Atomic force microscopy-based mechanobiology

TL;DR: The potential of combining AFM with complementary techniques, including optical microscopy and spectroscopy of mechanosensitive fluorescent constructs, super-resolution microscopy, the patch clamp technique and the use of microstructured and fluidic devices to characterize the 3D distribution of mechanical responses within biological systems and to track their morphology and functional state as discussed by the authors.
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Multiparametric imaging of biological systems by force-distance curve-based AFM.

TL;DR: The principles and applications of advanced FD-based AFM tools for the quantitative multiparametric characterization of complex cellular and biomolecular systems under physiological conditions are discussed.