Surface Profile Measurement
Surface Profile Measurement - Related Videos
15:17
Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
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Cited by 19 •
2011
We described a procedure for the disaggregation of colorectal cancer (CRC) to produce viable single cells, which are then captured on customized antibody microarrays recognizing surface antigens (DotScan CRC microarray). Sub-populations of cells bound to the microarray can be profiled by fluorescence multiplexing using monoclonal antibodies tagged with fluorescent dyes.
14:11
Quantification of Hydrogen Concentrations in Surface and Interface Layers and Bulk Materials through Depth Profiling with Nuclear Reaction Analysis
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Cited by 21 •
2016
We illustrate the application of 1H(15N,αγ)12C resonant nuclear reaction analysis (NRA) to quantitatively evaluate the density of hydrogen atoms on the surface, in the volume, and at an interfacial layer of solid materials. The near-surface hydrogen depth profiling of a Pd(110) single crystal and of SiO2/Si(100) stacks is described.
12:49
Measurement of Aggregate Cohesion by Tissue Surface Tensiometry
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Cited by 10 •
2011
We describe a method of measuring binding energy, expressible as tissue surface tension, between cells within 3D tissue-like aggregates. Differences in tissue surface tension have been demonstrated to correlate with invasiveness of lung, muscle, and brain tumors, and are fundamental determinants of establishing spatial relationships between different cell types.
08:53
The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe
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Cited by 11 •
2016
Here, we present a protocol to measure, with high spatial resolution, the unsteady surface pressure in turbulent flows. This method demonstrates the construction of a remote microphone probe (RMP) and the determination of its frequency-dependent, complex transfer function. An analytical determination of the dynamic response is presented and validated.
07:53
Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows
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Cited by 12 •
2013
Micro-particle image velocimetry (μPIV) is used to visualize paired images of micro particles seeded in blood flows which are cross-correlated to give an accurate velocity profile. Shear rate, maximum velocity, velocity profile shape, and flow rate, each of which has clinical applications, can be derived from these measurements.
FAQs
These three descriptors separate different scales of surface variation. Roughness describes fine-scale texture, waviness represents broader undulations, and form indicates larger-scale deviation from the intended shape. Distinguishing them helps engineers identify whether a specification issue arises from local texture, broader surface variation, or overall geometry.
Contact profilometers use a stylus that physically follows the trace, whereas noncontact optical instruments capture topographic changes without stylus contact. The choice changes how the surface is sampled and can matter when assessing coatings or surfaces where physical tracing is undesirable. The selected method should match the component and measurement objective.
A defined trace or area establishes the region being evaluated, so results can be compared between components only when the measurement location and extent are consistent. This is especially important in engineering inspection, where different portions of a surface may not represent the same machining or coating condition.
Average roughness summarizes surface height variation across the measured profile, while maximum profile height identifies the largest recorded height difference. Using both provides complementary information: an average can describe overall texture level, whereas a maximum value can reveal an isolated extreme. Engineers can then compare those results with a specification.
Surface profile measurement typically begins by defining the trace or area and selecting either contact stylus or noncontact optical capture. The instrument records height changes, after which software calculates selected profile parameters. Engineers interpret those values against the relevant specification or inspection requirement for the component.
In engineering, these measurements support more than machining inspection. They help assess coating performance, indicate whether a surface is prepared appropriately, and provide evidence relevant to sealing and friction behavior. Surface texture data can also contribute to evaluating fatigue risk. The results support manufacturing control, component inspection, and research comparisons when conditions remain consistent.