Spot Finding Tracking
Spot Finding Tracking - Related Videos
10:45
Finding Your Blind Spot and Perceptual Filling-in
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University In the back of everyone's eye is a small piece of neural tissue called the retina. The retina has photosensitive cells that respond to stimulation by light. The responses of these cells are sent into the brain through the optic nerve, a bundle of neural fibers. In each retina there is a place somewhere in the periphery where the outputs from retinal cells collect and the bundled optic nerve exits to the brain. At that location,...
01:03
Finding the Center of Gravity
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2023
The center of gravity of a body is an imaginary point where the body's total weight is assumed to be concentrated, and the body is perfectly balanced. The center of the mass of a body is a point at which the whole of the mass of the body appears to be concentrated. If the acceleration due to gravity, g, has the same value at all points on a body, its center of gravity is identical to its center of mass. The center of gravity of homogeneous bodies such as a sphere, cube, or rectangular plate is...
06:39
Real-Time Void Spot Assay
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Cited by 14 •
2023
This article describes a new method to study mouse voiding behavior by incorporating video monitoring in the conventional void spot assay. This approach provides temporal, spatial, and volumetric information on the voiding events and details of mouse behavior during the light and dark phases of the day.
06:48
The Staircase Procedure for Finding a Perceptual Threshold
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Psychophysics is the name for a set of methods in perceptual psychology designed in order to relate the actual intensity of stimuli to their perceptual intensity. One important aspect of psychophysics involves the measurement of perceptual thresholds: How bright does a light need to be for a person to be able to detect it? How little pressure applied to the skin is detectable? How soft can a sound be and still be heard? Put...
09:47
Spotting Cheetahs: Identifying Individuals by Their Footprints
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Cited by 26 •
2016
The cheetah (Acinonyx jubatus) is an iconic, endangered species, but conservation efforts are challenged by habitat shrinkage and conflict with commercial farmers. The footprint identification technique, a robust, accurate and cost-effective image classification system, is a new approach to monitoring cheetahs.
FAQs
Intensity or contrast differences distinguish localized signals from surrounding image regions, allowing the analysis to assign each detected spot a position. Repeating this localization across successive microscopy frames produces coordinate measurements that can be compared over time. The quality of the resulting trajectories therefore depends on whether the labeled signal remains sufficiently distinguishable for detection in the recorded images.
Linking detections establishes which spot in one frame corresponds to a spot in the next. Without this correspondence, the data remain a collection of independent coordinates rather than a continuous record of positional change. Correct linking converts frame-by-frame measurements into trajectories, which can then quantify movement and changes in the location of a genetic or cellular signal.
In genetics, the approach can be applied to fluorescently labeled DNA regions, chromosomes, or molecular components visible in microscopy images. Tracking their positions provides a way to examine how genetic material is arranged and how its location changes. These measurements can support studies of genome behavior, molecular interactions, and spatial organization within cells.
A basic workflow begins with microscopy images collected across successive frames. The analysis detects localized signals using intensity or contrast differences, assigns coordinates to the detected spots, and links corresponding detections between frames. The linked coordinate records form trajectories that can be examined quantitatively for positional dynamics, interactions, or changes in spatial organization.
The source context includes both living and fixed cells. In living-cell imaging, successive frames can support analysis of how labeled genetic regions or molecular components change position over time. In fixed-cell imaging, detected locations can contribute to measurements of spatial organization and positional relationships within the captured cellular sample, without requiring observations of ongoing movement.
Trajectory data provide quantitative records of signal position across the analyzed frames. In genetic applications, these records can be used to study positional dynamics of labeled DNA regions or chromosomes, examine molecular component interactions, and characterize spatial organization. The outcome is a measurable representation of genome-related behavior rather than a solely qualitative visual assessment.