Phase Correlation Registration
Phase Correlation Registration - Related Videos
01:27
Shelf Registration
0 Views •
2026
Shelf registration is an essential tool for companies to raise capital flexibly and efficiently. It is a provision by the Securities and Exchange Commission (SEC) that enables companies to file a single registration for securities they intend to issue over time rather than all at once. This process offers multiple advantages.Flexibility and Convenience: Shelf registration allows companies to issue securities in phases per market conditions and funding needs rather than raising all capital at...
02:20
Correlations
0 Views •
2020
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
01:27
Correlation and Causation
0 Views •
2026
Correlation and CausationStatistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. A relationship between variables shows correlation, but it does not show cause-and-effect. A direct cause-and-effect relationship requires additional controlled experiments. If no consistent relationship exists between the variables, then there is no correlation.Correlation versus CausationIf the dependent variable increases or decreases when the...
08:47
Epon Post Embedding Correlative Light and Electron Microscopy
0 Views •
Cited by 1 •
2024
We present a detailed protocol for Epon post-embedding correlative light and electron microscopy using a fluorescent protein called mScarlet. This method can maintain the fluorescence and the ultrastructure simultaneously. This technique is amenable to a wide variety of biological applications.
10:44
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
0 Views •
Cited by 4 •
2024
Three-dimensional (3D) phase-resolved functional lung (PREFUL) is a functional magnetic resonance imaging (MRI) technique that allows for quantification of regional ventilation of the whole human lung volume, using tidal breathing and contrast-agent free acquisition for 8 min. Here, we present an MR protocol to collect and analyze 3D PREFUL imaging data.
FAQs
A spatial translation changes the phase of an image’s Fourier components in a predictable way while preserving their frequency content. Comparing those phase relationships between two transformed images therefore reveals displacement without relying primarily on absolute pixel intensity. After normalization, the inverse Fourier transform concentrates the relative shift into a sharp peak, whose location supplies the alignment estimate.
Normalization emphasizes phase relationships rather than raw Fourier magnitudes. This reduces the effect of intensity variations between images and helps isolate the displacement-related signal. The method can therefore compare frames whose measured brightness changes because of acquisition conditions, supporting motion correction and time-lapse analysis when the relevant structures remain spatially related.
It is designed to estimate translation, meaning a relative shift in position between images. That makes it appropriate for correcting frame motion or superimposing structures when displacement is the principal difference. The described mechanism does not provide a general model of changing shape, so structural comparisons should interpret the measured shift separately from biological changes.
First, transform both images into the frequency domain. Next, calculate their normalized cross-power spectrum to isolate phase differences associated with displacement. Applying an inverse Fourier transform produces a sharp peak, and the peak location indicates the relative shift. That estimate can guide image superposition for motion correction, structural comparison, or subsequent analysis.
It is useful when microscopy, medical imaging, or time-lapse sequences contain positional motion or changes in acquisition conditions. Registering frames places corresponding biological structures into a common spatial relationship before comparison. This preprocessing supports specimen tracking, motion correction, and later image analysis by reducing the extent to which shifts between acquisitions obscure the measured structures.
Aligned images can help researchers quantify structural changes without confusing biological differences with frame displacement. The same processed data can support specimen tracking and improve downstream image analysis. In bioengineering, these outcomes connect registration to microscopy, medical imaging, and time-lapse studies where repeated observations must be compared despite motion or intensity variation.