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,...
09:47
Spotting Cheetahs: Identifying Individuals by Their Footprints
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Cited by 25 •
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.
08:38
Quantification of the Immunosuppressant Tacrolimus on Dried Blood Spots Using LC-MS/MS
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Cited by 28 •
2015
Here we describe a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) assay to quantify the immunosuppressant tacrolimus in dried blood spots using a simple manual protein precipitation step and online column extraction.
06:53
SpOT the Correct Tissue Every Time in Multi-tissue Blocks
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Cited by 5 •
2015
The purpose of the Specimen Orientation Tag (SpOT) is to function as an orientation tool to aid in individual tissue identification in multi-tissue paraffin blocks. These protocols demonstrate how it is constructed easily from common, low-cost histology materials and serves as a reliable visual marker in paraffin blocks and sections.
11:28
Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques
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Cited by 175 •
2015
The preparing and processing of dried blood spots (DBS) for their final analysis are still poorly standardized for most diagnostic applications. To overcome this shortcoming, a comprehensive step-by-step protocol is suggested and subsequently evaluated with regard to its effectiveness for detecting markers of viral infections.
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.