Parallel Afm Imaging
Parallel Afm Imaging - 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.
11:34
Series and Parallel Resistors
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2023
Source: Yong P. Chen, PhD, Department of Physics & Astronomy, College of Science, Purdue University, West Lafayette, IN This experiment demonstrates how current is distributed in resistors connected in series or parallel, and thus describes how to calculate the total "effective" resistance. Using Ohm's law, it possible to convert between the voltage and current through a resistance, if the resistance is known. For two resistors connected in series, (meaning that they are wired one after the...
01:20
Parallel Processing
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2024
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
01:23
Parallel Resonance
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2024
The parallel RLC circuit is an arrangement where the resistor (R), inductor (L), and capacitor (C) are all connected to the same nodes and, as a result, share the same voltage across them. The parallel RLC circuit is analyzed in terms of admittance (Y), which reflects the ease with which current can flow. The admittance is given by: Resonance in a parallel RLC circuit occurs when the net reactance is zero, meaning the capacitive and inductive effects cancel each other out. This condition is...
FAQs
The feedback loop regulates the tip–sample interaction during scanning by responding to changes in cantilever deflection. This control helps each probe follow surface features while measurements are collected, rather than allowing uncontrolled interaction to determine the signal. The resulting deflection data can be converted into topographic maps or material-property maps for nanoscale surface characterization.
Multiple probes divide the measurement workload by scanning separate defined regions at the same time. Compared with a single-probe arrangement, this increases throughput and shortens acquisition times while retaining nanoscale surface measurements. The parallel arrangement also expands the amount of surface sampled in one measurement, which is valuable when engineers need to examine variation across structured materials or devices.
By analyzing changes in cantilever deflection, the system can generate either topographic information or maps of material properties. This distinction lets an engineering study focus on surface structure, material properties, or both within the same nanoscale imaging approach. The resulting maps can support analysis of coatings, polymers, semiconductor devices, and other structured surfaces.
A typical measurement assigns each cantilever a defined surface region, scans those regions simultaneously, and uses feedback to maintain the controlled tip–sample interaction. During scanning, changes in cantilever deflection are recorded. Those signals are then used to produce topographic or material-property maps for comparison across the measured surface.
In engineering, the approach is relevant to semiconductor devices, coatings, polymers, and other structured surfaces. These targets can require both nanoscale detail and coverage over more than one local region. Parallel acquisition helps characterize such surfaces faster than a single-probe workflow, making the technique useful when surface information must be gathered efficiently.
Faster acquisition and broader spatial coverage support process monitoring and quality control by making surface measurements available in less time. Because multiple regions are sampled, engineers can also use the data to analyze surface variation statistically rather than relying only on one local area. This connects nanoscale imaging with research and manufacturing decisions.