ArticleBMC bioinformatics2018
FC_analysis: a tool for investigating atomic force microscopy maps of force curves.
Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A 3D skeletal muscle system for disease modelling and secretome profiling of Duchenne muscular dystrophy.Skeletal muscle · 2026Article
- Glowing Spicules and Structural Collapse: A Single-Cell Insight into the Oxidative Aging of Favism Erythrocytes.International journal of molecular sciences · 2026Article
- Comparing Nanomechanical Properties and Membrane Roughness Along the Aging of Human Erythrocytes.Methods and protocols · 2025Article
- CellMAP: an open-source software tool to batch-process cell topography and stiffness maps collected with an atomic force microscope.BMC bioinformatics · 2025Article
- Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis.Computational and structural biotechnology journal · 2024Review
- Remodeled eX vivo muscle engineered tissue improves heart function after chronic myocardial ischemia.Scientific reports · 2023Article
- Micromanipulation and Automatic Data Analysis to Determine the Mechanical Strength of Microparticles.Micromachines · 2022Article
- Review
- Article
- A Review of the Effect of a Nanostructured Thin Film Formed by Titanium Carbide and Titanium Oxides Clustered around Carbon in Graphitic Form on Osseointegration.Nanomaterials (Basel, Switzerland) · 2020Review
- A Rapid Unraveling of the Activity and Antibiotic Susceptibility of Mycobacteria.Antimicrobial agents and chemotherapy · 2019Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
resultsIn this paper we present the open source software package FC_analysis that automatically analyses single force curves or entire force volume maps to yield the corresponding elasticity and deformability images. The principal characteristic of the FC_analysis is a large adaptability to the various experimental setups and to different analysis methodologies. For instance, the user can provide custom values for the detector sensitivity, scanner-z sensitivity, cantilever's elastic constant and map's acquisition modality and can choose between different analysis methodologies. Furthermore, the software allows the optimization of the fitting parameters and gives direct control on each step of the analysis procedure. Notably, to overcome a limitation common to many other analysis programs, FC_analysis can be applied to a rectangular portion of the image, allowing the analysis of inhomogeneous samples. Finally, the software allows reconstructing a Young's modulus map at different penetration depths, enabling the use of modern investigation tools such as the force tomography.
conclusionsThe FC_analysis software aims to become a useful tool for the analysis of force curves maps collected using custom or commercial Atomic Force Microscopes, and is especially useful in those cases for which the producer doesn't release a dedicated software.
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