Fluorescence Intensity Profiles
Fluorescence Intensity Profiles - Related Videos
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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.
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Expression Profiling with Microarrays
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Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
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...
00:53
Sound Intensity Level
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2023
Humans perceive sound by hearing. The human ear helps sound waves reach the brain, which then interprets the waves and creates the perception of hearing. The loudness of the environment in which a person is located determines whether they can distinguish between different sound sources. The human ear can perceive an extensive range of sound intensity, necessitating the use of the logarithmic scale to define a physical quantity—the intensity level. It is a ratio of two intensities and hence a...
01:22
Intensity Of Electromagnetic Waves
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2026
The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation: As the frequency of the electromagnetic wave is very high, for example, the frequency of visible light is in the order of 1014 Hz, the energy flux rapidly varies...
FAQs
The shape of a profile can distinguish a concentrated signal from a more distributed one by showing how brightness changes across the selected region. Comparing profiles from labeled molecules, cells, or structures helps reveal differences in spatial organization rather than relying only on the overall appearance of an image. This makes localization patterns quantitatively comparable.
After fluorophores are excited, detectors record their emitted signal as image data. Analysis software can then sample that data along a line, across an area, or through successive image sections and plot the resulting intensity values. The selected sampling format determines whether the analysis emphasizes a one-dimensional boundary, a two-dimensional distribution, or changes between sections.
An apparent intensity difference may arise from biology or from imaging conditions. Background signal and uneven illumination can alter the measured profile, so interpretation requires considering whether the pattern follows labeled structures or reflects the imaging field itself. Recognizing these technical influences helps prevent researchers from treating every brightness variation as a molecular difference.
To generate a profile, researchers first define the spatial region to examine, then use image-analysis software to extract intensity along a line, across an area, or through successive image sections. The resulting plot can be compared between regions or samples. Keeping the sampling approach aligned with the biological structure makes the measurement relevant to the question.
Fluorescence intensity profiles support boundary analysis by showing where signal changes across a structure or region. They can also help assess colocalization, meaning whether labeled signals occupy corresponding spatial positions. In cell biology, these measurements provide a quantitative way to examine protein localization and cellular organization, complementing visual inspection of the fluorescence image.
Applications extend across cell biology, developmental studies, and disease research. In these settings, profiles can be used to compare signal distribution or examine changes in protein localization and cellular organization. Their value is greatest when quantitative measurements are interpreted alongside image context, because the same apparent pattern may reflect either a biological change or background and illumination effects.