The collection and analysis of Atomic Force Microscopy force curves is a well-established procedure to obtain high-resolution information of non-topographic data from any kind of sample, including biological specimens. In particular, these analyses are commonly employed to study elasticity, stiffness or adhesion properties of the samples. Furthermore, the collection of several force curves over an extended area of the specimens allows reconstructing maps, called force volume maps, of the spatial distribution of the mechanical properties. Coupling these maps with the conventional high-resolution topographic reconstruction of the sample’s surface, provides a deeper insight on the sample composition from the structural and nanomechanical point of view.

FC_analysis: a tool for investigating atomic force microscopy maps of force curves / Dinarelli, Simone; Girasole, Marco; Longo, Giovanni. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 19:1(2018). [10.1186/s12859-018-2265-4]

FC_analysis: a tool for investigating atomic force microscopy maps of force curves

Dinarelli, Simone;
2018

Abstract

The collection and analysis of Atomic Force Microscopy force curves is a well-established procedure to obtain high-resolution information of non-topographic data from any kind of sample, including biological specimens. In particular, these analyses are commonly employed to study elasticity, stiffness or adhesion properties of the samples. Furthermore, the collection of several force curves over an extended area of the specimens allows reconstructing maps, called force volume maps, of the spatial distribution of the mechanical properties. Coupling these maps with the conventional high-resolution topographic reconstruction of the sample’s surface, provides a deeper insight on the sample composition from the structural and nanomechanical point of view.
2018
afm; force curves; elasticity measurements
01 Pubblicazione su rivista::01a Articolo in rivista
FC_analysis: a tool for investigating atomic force microscopy maps of force curves / Dinarelli, Simone; Girasole, Marco; Longo, Giovanni. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 19:1(2018). [10.1186/s12859-018-2265-4]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1560379
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