Movie Alignment
Movie Alignment - Related Videos
14:21
Creating Dynamic Images of Short-lived Dopamine Fluctuations with lp-ntPET: Dopamine Movies of Cigarette Smoking
0 Views •
Cited by 15 •
2013
We present a novel PET imaging approach for capturing dopamine fluctuations induced by cigarette smoking. Subjects smoke in the PET scanner. Dynamic PET images are modeled voxel-by-voxel in time by lp-ntPET, which includes a time-varying dopamine term. The results are 'movies' of dopamine fluctuations in the striatum during smoking.
17:01
Acquiring Fluorescence Time-lapse Movies of Budding Yeast and Analyzing Single-cell Dynamics using GRAFTS
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Cited by 4 •
2013
We present a simple protocol to obtain fluorescence microscopy movies of growing yeast cells, and a GUI-based software package to extract single-cell time series data. The analysis includes automated lineage and division time assignment integrated with visual inspection and manual curation of tracked data.
11:36
Assembly, Loading, and Alignment of an Analytical Ultracentrifuge Sample Cell
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Cited by 21 •
2009
The analytical ultracentrifuge (AUC) sample cell holds sample and reference buffer and during experiments and is exposed to high vacuum and rotor speeds up to 60,000 rpm. This video will demonstrate the rigorous attention to detail necessary for assembly, loading and alignment of this very important component of an AUC experiment.
01:17
Design Example: Alignment of a Road Line Using GIS
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2025
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
09:48
An Approach to Enhance Alignment and Myelination of Dorsal Root Ganglion Neurons
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Cited by 7 •
2016
This protocol describes the isolation of dorsal root ganglion (DRG) neurons isolated from rats and the culture of DRG neurons on a static pre-stretched cell culture system to enhance axon alignment, with subsequent co-culture of Schwann Cells (SCs) to promote myelination.
FAQs
Algorithms can align frames by comparing shared image features or intensity patterns across consecutive images. These correspondences provide the basis for estimating how one frame has shifted or rotated relative to another. The calculated transformation is then applied to register the sequence, preserving spatial consistency while reducing apparent motion that originates from the imaging process.
Translations correct positional displacement, whereas rotations address changes in orientation; other transformations may also be used when required by the sequence. Choosing a transformation that matches the observed motion matters because inadequate correction can leave structures misregistered. In biochemical imaging, this distinction helps prevent technical movement from being mistaken for molecular or cellular change.
Alignment is especially important when the biological signal changes on a similar spatial or temporal scale as sample drift. Once frames share a consistent reference, remaining differences are more likely to reflect genuine conformational or dynamic behavior rather than uncorrected motion. This separation supports interpretation of enzyme conformational changes and other molecular events in time-resolved experiments.
A typical workflow starts with a time-resolved sequence of consecutive frames, identifies shared features or intensity patterns, estimates the needed translations, rotations, or other transformations, and applies those corrections to the frames. The registered sequence can then be examined for improved structural continuity and used for downstream visualization or quantitative analysis.
Researchers can apply Movie Alignment to live-cell imaging, cryo-electron microscopy, single-molecule experiments, and other microscopy-based time series. Its role differs with the experiment: it can stabilize observations of molecular dynamics, clarify enzyme conformational changes, or improve the consistency of images used to reconstruct biological events. These applications connect image registration with biochemical interpretation.
After correction, aligned data can provide clearer visualization and more reliable measurements derived from the sequence. In reconstruction workflows, spatially consistent frames help preserve the information needed to represent biological events across time. The method therefore contributes not only to image appearance but also to quantitative analysis, where sample drift or motion could otherwise influence measured structural behavior.