Surface Intensity Mapping
Surface Intensity Mapping - Related Videos
15:08
Probing and Mapping Electrode Surfaces in Solid Oxide Fuel Cells
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Cited by 4 •
2012
We present a unique platform for characterizing electrode surfaces in solid oxide fuel cells (SOFCs) that allows simultaneous performance of multiple characterization techniques (e.g. in situ Raman spectroscopy and scanning probe microscopy alongside electrochemical measurements). Complementary information from these analyses may help to advance toward a more profound understanding of electrode reaction and degradation mechanisms, providing insights into rational design of better materials for...
11:03
Motor Maps
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2023
Source: Laboratories of Jonas T. Kaplan and Sarah I. Gimbel—University of Southern California One principle of brain organization is the topographic mapping of information. Especially in sensory and motor cortices, adjacent regions of the brain tend to represent information from adjacent parts of the body, resulting in maps of the body expressed on the surface of the brain. The primary sensory and motor maps in the brain surround a prominent sulcus known as the central sulcus. The cortex...
06:48
Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
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Cited by 2 •
2020
The protocol extracts information from light curves of exoplanets and constructs their surface maps. It uses light curves of Earth, which serves as a proxy exoplanet, to demonstrate the approach.
06:58
Fate Mapping
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2023
Fate mapping is a technique used to understand how embryonic cells divide, differentiate, and migrate during development. In classic fate mapping experiments, cells in different areas of an embryo are labeled with a chemical dye and then tracked to determine which tissues or structures they form. Technological improvements now allow for individual cells to be marked and traced throughout embryonic development and adulthood. This video reviews the concepts behind fate mapping, and then details a...
00:58
Sound Intensity
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2023
The loudness of a sound source is related to how energetically the source is vibrating, consequently making the molecules of the propagation medium vibrate. To measure the loudness of a source, the physical quantity of interest is the intensity. This is defined as the energy emitted per unit of time per unit of area perpendicular to the sound wave's propagation direction. Since the total energy is greater if the source vibrates for a longer duration and over a larger area, dividing the emitted...
FAQs
Calibration links the detected fluorescence or other surface-associated signal to a quantitative intensity scale. Measurements from defined regions can then be compared rather than treated as raw brightness alone. This step matters because it allows local differences in molecular abundance to appear as spatial patterns, helping distinguish uneven receptor or antigen distribution across a cell or microbial surface.
Unlike a single average signal, Surface Intensity Mapping preserves where signal differences occur. A cell may show stronger labeling in one region and weaker labeling elsewhere, while the overall average conceals that organization. The resulting map supports analysis of local molecular abundance and can connect surface patterning with recognition, activation, adhesion, or contact-dependent interactions.
The measured signal depends on labeled molecules associated with the surface and on the regions selected for analysis. Defining those regions gives the measurement a spatial framework, while calibration makes intensities comparable across them. Interpreting the map therefore requires attention to both the molecular label being detected and the location in which its signal is recorded.
A basic workflow begins by detecting fluorescence or another surface-associated signal, selecting defined regions on the cell or microbial surface, calibrating the measured intensity, and converting the regional values into a map. Researchers can then inspect local differences in signal and relate them to the biological interaction under study, such as receptor organization or pathogen attachment.
In immunology, the approach can examine how immune receptors or presented antigens are distributed across cellular surfaces. Spatial measurements add information that an overall signal cannot provide, allowing investigators to relate local molecular patterns to immune recognition and cell activation. This makes the method useful when organization at the surface is biologically relevant to the response.
For infection studies, Surface Intensity Mapping can characterize pathogen attachment and host-pathogen contact regions. Mapping signal across microbial or host surfaces helps identify local differences in associated molecules at these interfaces. Those patterns can be compared with adhesion or other infectious interactions, supporting a more precise account of how surface organization contributes to cellular behavior during infection.