Depth Profiling
Depth Profiling - Related Videos
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.
07:10
3D Depth Profile Reconstruction of Segregated Impurities Using Secondary Ion Mass Spectrometry
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2020
The presented method describes how to identify and solve measurement artifacts related to secondary ion mass spectrometry as well as obtain realistic 3D distributions of impurities/dopants in solid state materials.
01:27
Uniform Depth Channel Flow
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2025
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
01:15
Depth Perception and Spatial Vision
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2024
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
01:18
Uniform Depth Channel Flow: Problem Solving
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2025
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
FAQs
The key mechanism is to associate every recorded signal with a defined position below the sample surface. Measurements collected from successive tissue planes or depth locations can then be assembled into a depth-dependent profile. This preserves the relationship between a signal and its location, allowing researchers to distinguish changes occurring at different layers rather than treating the specimen as spatially uniform.
Biological depth profiling can track physical, chemical, and biological properties, depending on the measurement approach. These signals may reveal tissue architecture, cellular organization, molecular gradients, or activity distributed through a specimen. Considering several property types helps researchers relate structural features to composition and function across cells, tissues, and other complex biological samples.
Their importance comes from showing that biological composition and activity may vary across spatially distinct layers. A depth profile can identify how cells are organized, where molecular signals increase or decrease, and how those patterns relate to tissue structure. This makes the measurements useful for analyzing three-dimensional organization rather than only describing an averaged signal for the entire specimen.
Researchers can compare depth-dependent profiles from biological samples representing different developmental states, disease conditions, or treatment settings. Differences in the distribution of structural, chemical, or biological signals may indicate altered organization or activity at particular depths. Because the measurements retain spatial location, comparisons can show where within a specimen a biological change is concentrated.
A basic workflow begins by selecting defined positions or tissue planes beneath the sample surface and recording the relevant physical, chemical, or biological signals at those locations. The measurements are then organized according to depth and assembled into a profile. This sequence converts separate observations into a spatially ordered representation that can be interpreted across the specimen.
The approach is useful when researchers need to determine how structure, composition, or activity varies throughout a biological specimen. It supports analysis of tissue architecture and cellular organization while also revealing molecular or other biological gradients. These capabilities are relevant to developmental studies, investigations of disease-associated changes, and evaluations of differences linked to treatment.