Radial Pixel Intensity
Radial Pixel Intensity - Related Videos
02:59
Time-Lapse Imaging of Cortical Neuron Radial Migration in Transduced Mouse Embryonic Brain Slices
0 Views •
2025
Source: Wiegreffe, C., et. al., Time-lapse Confocal Imaging of Migrating Neurons in Organotypic Slice Culture of Embryonic Mouse Brain Using In Utero Electroporation. J. Vis. Exp. (2017) This video demonstrates time-lapse confocal microscopy to observe cortical neuron radial migration from the subventricular zone to the cortical plate via radial glial scaffolds in transduced mouse embryonic brain slices.
01:23
Radial System Protection
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2024
Radial systems employ time-delay overcurrent relays to reduce load interruptions. When a fault occurs, the nearest breaker opens first, while upstream breakers remain closed due to longer delay settings. This approach ensures minimal disruption to the rest of the system. In a radial system with a fault downstream of the third breaker, ideally, only the third breaker will open, isolating the fault and interrupting the load connected beyond it. The second breaker has a longer delay setting,...
08:41
Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
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Cited by 11 •
2012
Lensfree optical tomography is a three-dimensional microscopy technique that offers a spatial resolution of <1 μm × <1 μm × <3 μm in x, y and z dimensions, respectively, over a large imaging-volume of 15-100 mm3, which can be particularly useful for integration with lab-on-a-chip platforms.
02:39
Evaluating Motor Impairment in C. elegans Models Using the Radial Locomotion Assay
0 Views •
2025
This video demonstrates the use of a radial locomotion assay to evaluate motor dysfunction in C. elegans expressing either wild-type or ALS-mutant human TDP-43 protein. Worms with varying levels of wild-type or mutant TDP-43 expression are allowed to crawl, and their movement is measured by the radial distance traveled from the central point on the assay plate. The assay distinguishes between mild, moderate, and severe motor impairments based on the distance traveled by the different C. elegans...
08:09
Use of an Eight-arm Radial Water Maze to Assess Working and Reference Memory Following Neonatal Brain Injury
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Cited by 61 •
2013
The eight-arm radial water maze is designed to evaluate reference and working memory performance simultaneously by requiring subjects to use extra-maze cues to locate escape platforms and remedies the limitations observed in land based radial arm maze designs.
FAQs
The center establishes the reference point for every distance measurement, so it determines which pixels are grouped at each radius. A profile can therefore change when the selected center shifts, even if the image itself is unchanged. Defining the center consistently is essential when comparing spatial organization across biological images or experimental conditions.
Concentric rings organize pixels according to their distance from the selected center rather than their individual coordinates. This converts a two-dimensional image into a radius-based summary, making broad intensity gradients and abrupt boundaries easier to inspect. Ring-based grouping is especially useful when the biological signal forms spatial patterns around a recognizable center.
Radial paths follow intensity outward from the center, whereas concentric rings collect values from locations sharing a similar radius. The first representation emphasizes changes along particular directions; the second summarizes intensity around a distance band. Choosing between them depends on whether the analysis should preserve directional variation or emphasize the overall radial pattern.
Changes in the profile can indicate a gradual intensity gradient, a boundary between regions, or localized signal enrichment at a particular distance. These patterns provide quantitative evidence for spatial organization in cells, organelles, colonies, or fluorescence distributions. The profile complements visual inspection by expressing positional changes as measurable intensity differences.
First, define the center of the image feature being examined. Next, sample pixels along radial paths or within concentric rings, group the values by their distance from that center, and generate the resulting intensity-versus-radius profile. The profile can then be inspected for gradients, boundaries, or localized enrichment and compared across images or conditions.
Researchers can apply the measurement when they need to characterize spatial signal in cells, organelles, colonies, or other biological image features. It is useful when differences in fluorescence distribution or structural organization are difficult to judge reliably by eye. Comparing profiles between experimental conditions can make spatial changes more apparent and quantitatively assessable.
Profiles provide a common radius-based representation for images collected under different conditions. Comparing the intensity patterns across distance can show whether signal becomes more concentrated, shifts toward another region, or changes in its gradient or boundary pattern. This approach turns spatial differences into interpretable profile differences while keeping the analysis focused on image-derived intensity.