Region Of Interest Tracking
Region Of Interest Tracking - Related Videos
01:03
IR Frequency Region: Fingerprint Region
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2024
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the C=O, C=N, and C=C occur between 1600–1850 cm−1. The...
05:55
Multiple Object Tracking
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In a staggeringly complex and engaging world, it is crucial to selectively process some stimuli at the expense of others. Experimental psychologists call this ability attention. Specifically, visual attention refers to the ability to selectively process aspects of a visual scene. Many paradigms used to study visual attention involve brief, punctuated, and repeated trials. However, everyday situations often place sustained demands...
07:36
C. elegans Tracking and Behavioral Measurement
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Cited by 14 •
2012
We have developed a video-rate tracking microscope system that can record and quantify C. elegans behavior at high resolution and high speeds. We have also developed computational methods to reduce the dimensionality of the worm images to a fundamental set of measurements that completely describe the shape of the worm.
02:40
The Eukaryotic Promoter Region
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2020
The eukaryotic promoter region is a segment of DNA located upstream of a gene. It contains an RNA polymerase binding site, a transcription start site, and several cis-regulatory sequences. The proximal promoter region is located in the vicinity of the gene and has cis-regulatory sequences and the core promoter. The core promoter is the binding site for RNA polymerase and is usually located between -35 and +35 nucleotides from the transcription start site. The distal promoter regions are...
06:19
Eye Tracking in Cognitive Experiments
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2023
Eye tracking as the name suggests involves tracking of eye-movements. It is a non-invasive, sensitive tool that quantifies and measures eye-movements to describe an individuals' cognitive state. An eye-movement between two fixation points is called a saccade, which is one of the fastest motor movements in our body. By observing the profiles of these eye movements, scientists can better understand neural deficits in patients with cognitive impairments. In this video, we will first look at an...
FAQs
The method compares frame-to-frame features such as position, shape, intensity, or texture to determine where the selected region has moved. Image registration provides another way to align sequential images before identifying the corresponding area. Using these signals helps preserve continuity across a time-lapse sequence, even when the region does not remain in the same location.
A region may change shape or have boundaries that shift as the biological process develops. Tracking therefore must account for more than simple position changes, because an unchanged outline could misrepresent the observed object or tissue area. Incorporating shape and intensity information helps the analysis follow the evolving region and supports more meaningful measurements over time.
Position, shape, intensity, and texture each provide different cues for matching a region across sequential frames. Their usefulness depends on how clearly the selected area remains distinguishable as it moves or changes. Combining these features with frame-to-frame matching or image registration can help maintain a consistent correspondence and improve interpretation of dynamic cellular or tissue behavior.
Researchers first define the area, object, or signal to be followed in an image or video sequence. They then identify distinguishing features and track the selected region through successive frames using matching or registration while accounting for movement and changing boundaries. The resulting measurements can be organized across time to compare patterns of cellular, pathogen, signaling, or tissue change.
A selected immune-cell region can be followed across time-lapse microscopy frames, allowing its changing position and other visible characteristics to be measured. These measurements provide a way to compare cellular movement under different conditions and relate migration patterns to immune responses. The approach is especially useful when researchers need dynamic information rather than a single still-image observation.
The technique can follow pathogen spread, intracellular signaling, or changes within tissue regions while infection develops. Tracking these features over sequential images helps connect visible spatial or temporal patterns with infection progression and immune responses. Researchers can then compare how cellular behavior, pathogen-associated changes, or signaling activity differ across observations in host-pathogen experiments.