Trajectory Tracing
Trajectory Tracing - Related Videos
10:04
Electroporation of the Hindbrain to Trace Axonal Trajectories and Synaptic Targets in the Chick Embryo
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Cited by 9 •
2013
How neuronal networks are established in the embryonic brain is a fundamental question in developmental neurobiology. Here we combined an electroporation technique with novel genetic tools, such as Cre/Lox–plasmids and PiggyBac-mediated DNA transposition system in the avian hindbrain to label dorsal interneurons and track their axonal projections and synaptic targets at various developmental stages.
16:14
Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Cited by 15 •
2013
A suite of spatiotemporal processing methods are presented to analyze human trajectory data, such as that collected using a GPS device, for the purpose of modeling pedestrian space-time activities.
01:26
Orthogonal Trajectories
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2026
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
04:24
Studying Cell Rolling Trajectories on Asymmetric Receptor Patterns
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Cited by 3 •
2011
We describe a protocol to observe and analyze cell rolling trajectories on asymmetric receptor-patterned substrates. The resulting data are useful for engineering of receptor-patterned substrates for label-free cell separation and analysis.
07:02
Trace Fear Conditioning in Mice
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Cited by 32 •
2014
In the following experiment we describe a protocol for trace fear conditioning in mice. This type of associative memory includes a trace period that separates the neutral stimulus and the unconditioned stimulus.
FAQs
Time-stamped observations turn separate location records into a motion sequence. Linking each position to its time point allows researchers to calculate direction, distance, and speed, then identify changes in motion rather than viewing locations as isolated measurements. This temporal structure is important when interpreting how animals, particles, pollutants, sediments, or environmental signals move through a changing system.
Trajectory tracing can draw on field observations, sensors, GPS, imaging, or remote-sensing data. These sources provide the sequential position records needed to follow movement, but they represent different ways of observing the same environmental process. Selecting or combining an appropriate source helps document animal paths, pollutant transport, sediment dispersal, or atmospheric and oceanic flow within the available study setting.
By examining the linked path and its changing motion, researchers can identify pathways, sources, destinations, and exposure patterns. Those outputs are useful when the question concerns where an environmental signal originated, where transported material may go, or which organisms or locations may experience contact. The same record can also support analysis of how systems change over time.
A practical workflow starts by collecting observations from fieldwork or a recording system, assigning a time point to every position, and linking the positions in sequence. Researchers then calculate direction, distance, speed, and changes in motion from the linked record. The resulting trajectory can be examined for pathways, destinations, or exposure patterns relevant to the environmental question.
In environmental research, it can follow animal movements, pollutant transport, sediment dispersal, and atmospheric or oceanic flows. The method is especially relevant when a study needs a movement pathway rather than a single location. Its results can support ecosystem monitoring, pollution assessment, and interpretation of how materials or signals move between places.
Trajectory records provide movement information that can support models of environmental change and help predict hazards. By showing routes, sources, destinations, and exposure patterns, they give researchers a basis for connecting observed movement with ecosystem conditions, pollution behavior, or transport through air and water. This makes the approach useful for monitoring present conditions and examining likely system changes.