Afm Software
Afm Software - Related Videos
08:21
Quantitative Hardness Measurement by Instrumented AFM-indentation
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Cited by 6 •
2016
This experimental protocol describes how atomic force microscopy can be used to measure hardness at the true nanometer scale and to detect single atomistic plasticity events.
09:47
AFM and Microrheology in the Zebrafish Embryo Yolk Cell
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Cited by 3 •
2017
The lack of tools to measure material properties and tensional parameters in vivo prevents validating their roles during development. We employed atomic force microscopy (AFM) and nanoparticle-tracking to quantify mechanical features on the intact zebrafish embryo yolk cell during epiboly. These methods are reliable and widely applicable avoiding intrusive interventions.
08:29
Au-Interaction of Slp1 Polymers and Monolayer from Lysinibacillus sphaericus JG-B53 - QCM-D, ICP-MS and AFM as Tools for Biomolecule-metal Studies
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Cited by 12 •
2016
To obtain basic information on the sorption and recycling of gold from aqueous systems the interaction of Au(III) and Au(0) nanoparticles on S-layer proteins were investigated. The sorption of protein polymers was investigated by ICP-MS and that of proteinaceous monolayers by QCM-D. Subsequent AFM enables the imaging of the nanostructures.
10:41
VisualEyes: A Modular Software System for Oculomotor Experimentation
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Cited by 28 •
2011
Neural control and cognitive processes can be studied through eye movements. The VisualEyes software allows an operator to program stimuli on two computer screens independently using a simple, custom scripting language. The system can stimulate tandem eye movements (saccades and smooth pursuit) or opposing eye movements (vergence) or any combination.
10:37
Covalent Attachment of Single Molecules for AFM-based Force Spectroscopy
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Cited by 3 •
2020
Covalent attachment of probe molecules to atomic force microscopy (AFM) cantilever tips is an essential technique for the investigation of their physical properties. This allows us to determine the stretching force, desorption force and length of polymers via AFM-based single molecule force spectroscopy with high reproducibility.
FAQs
Feedback loops continuously adjust scanner motion to maintain the selected tip-sample interaction while the probe moves across a surface. This control helps preserve measurement conditions and allows the system to record variations in height or interaction-related signals. In biochemical samples, stable feedback is important for distinguishing structural features from changes caused by inconsistent probe-sample contact.
Scanner control positions the probe relative to the sample and manages nanoscale movement, while cantilever detection supplies signals produced by the probe-sample interaction. AFM software coordinates these functions so that movement and detection remain synchronized during acquisition. Their integration supports collection of surface height, force, or adhesion information from biomolecular materials.
The software organizes different recorded signals according to the measurement being performed. Topography describes surface height, whereas force and adhesion measurements represent interactions between the probe and sample. Separating these outputs allows researchers to examine physical structure alongside mechanical or molecular interaction properties, supporting more complete interpretation of proteins, membranes, nucleic acids, and related materials.
Maintaining a selected interaction provides a consistent basis for interpreting signal changes across the surface. If the interaction varies unpredictably, recorded differences may not reflect genuine changes in sample structure or properties. Controlled interaction therefore supports quantitative analysis of nanoscale organization and mechanics, which can help connect biomolecular structure with function.
A typical workflow coordinates scanner movement, cantilever signal detection, and feedback control while the probe examines the sample. The system then records relevant height, force, or adhesion signals and converts them into data for interpretation. Researchers can analyze these measurements to characterize biomolecular surfaces and compare structural or interaction-related features under the selected conditions.
Liquid and ambient conditions provide controlled environments for examining biomolecular materials during AFM measurements. The software supports these workflows by coordinating acquisition while the probe interacts with samples such as proteins, membranes, or nucleic acids. Comparing data collected under appropriate conditions can help researchers investigate biomolecular organization, interactions, and nanoscale mechanical behavior.