Tapping Mode Afm
Tapping Mode Afm - 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.
08:59
High-Speed Atomic Force Microscopy Imaging of DNA Three-Point-Star Motif Self Assembly Using Photothermal Off-Resonance Tapping
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2024
Here, we show the imaging protocol for observing biomolecular interactions with photothermal off-resonance tapping (PORT), where we optimized imaging parameters, identified system limits, and investigated potential improvements in imaging three-point-star DNA motif assembly.
09:47
AFM and Microrheology in the Zebrafish Embryo Yolk Cell
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Cited by 4 •
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.
19:44
A Tactile Automated Passive-Finger Stimulator (TAPS)
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Cited by 23 •
2009
We describe a computer-controlled device for investigating the sense of touch: the Tactile Automated Passive-finger Stimulator (TAPS). We describe the components of TAPS, and show how TAPS is used to administer a two-interval forced-choice tactile grating orientation test.
01:07
What is a Mode?
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2023
The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set. There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times. A data set with two modes is called bimodal. For example,...
FAQs
Tapping mode AFM relies on a cantilever driven near resonance, so tip-sample interactions appear as changes in oscillation amplitude or phase. These signals provide more than topographic information: they can also reflect material properties at the surface. Separating these responses helps researchers examine nanoscale structure alongside local behavior in biological and engineered materials.
Oscillation amplitude and phase act as measurable indicators of how the cantilever interacts with a sample. Variations in either signal are detected and converted into an image, allowing researchers to map surface features and associated material behavior. Using these signals supports analysis of heterogeneous samples, including biomaterials, membranes, proteins, and tissue scaffolds.
The cantilever approaches the surface intermittently rather than remaining in continuous contact during imaging. This operating pattern reduces the mechanical burden placed on delicate specimens while preserving nanoscale imaging capability. The approach is therefore suited to biological surfaces and soft engineered materials for which aggressive contact could interfere with observations of structure or organization.
During measurement, the cantilever oscillates near its resonance frequency while the tip intermittently interacts with the surface. The instrument detects interaction-related changes in oscillation amplitude or phase, then converts those measurements into an image. This workflow links nanoscale surface features with measurable responses from the sample, supporting simultaneous structural and material-property characterization.
Controlled environmental conditions allow researchers to examine cells, biomaterials, proteins, membranes, and tissue scaffolds within defined experimental settings. Maintaining the selected conditions helps place nanoscale observations in the appropriate biological or materials context. This is valuable when relating surface organization and mechanical behavior to cell adhesion or the performance of engineered tissue materials.
In bioengineering, the technique can characterize cell surfaces, biomolecular organization, membranes, biomaterials, and tissue scaffolds. The resulting nanoscale structural and material information helps researchers investigate relationships involving cell adhesion and mechanical behavior. It also contributes to the design and evaluation of engineered tissues and medical materials by connecting surface-scale features with functional goals.