3d Tracking System
3d Tracking System - Related Videos
06:50
Preparation and 3D Tracking of Catalytic Swimming Devices
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Cited by 1 •
2016
A method to prepare catalytically active Janus colloids that can "swim" in fluids and determine their 3D trajectories is presented.
14:03
Using an Automated 3D-tracking System to Record Individual and Shoals of Adult Zebrafish
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Cited by 38 •
2013
The use of a 3D automatic video system that can track individual and groups of zebrafish is described. As application example we explore the effects of the NMDA-receptor antagonist MK-801 on shoals of zebrafish.
11:28
3D Orbital Tracking in a Modified Two-photon Microscope: An Application to the Tracking of Intracellular Vesicles
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Cited by 10 •
2014
In this video protocol we track - at high speed and in three dimensions - fluorescently labeled lysosomes within living cells, using the orbital tracking method in a modified two-photon microscope.
10:16
A Protocol for Real-time 3D Single Particle Tracking
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Cited by 13 •
2018
This protocol details the construction and operation of a real-time 3D single particle tracking microscope capable of tracking nanoscale fluorescent probes at high diffusive speeds and low photon count rates.
11:11
Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
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Cited by 20 •
2014
Particle-tracking microrheology can be used to non-destructively quantify and spatially map changes in extracellular matrix mechanical properties in 3D tumor models.
FAQs
A 3D tracking system combines observations of the same visible feature or marker from multiple perspectives. Because the cameras or sensors are synchronized, the system can relate those observations to the same moment in time. Triangulation and coordinate calculations then estimate the feature’s position within a defined space, allowing researchers to follow changes in location and movement over time.
Synchronization ensures that measurements from different viewpoints correspond to the same instant. This matters when an animal, cell, tissue, or anatomical feature is moving, because observations recorded at different times could misrepresent its position or motion. Coordinated measurements support consistent reconstruction of movement and improve the value of the resulting spatial and kinematic data.
Triangulation uses the feature’s appearance from multiple perspectives to estimate its location in three dimensions. Coordinate calculations express that location within the defined observation space, making positions comparable across time. Together, these processes transform separate visual or sensor observations into quantitative measurements that can describe trajectories, movement patterns, and changes in anatomical structure.
Two-dimensional observation records movement on a limited visual plane, whereas 3D tracking captures spatial position across three dimensions. This added information helps distinguish movements that may overlap or appear similar from a single viewpoint. In biology, the difference supports more complete analysis of locomotion, behavioral interactions, tissue movement, and anatomical changes.
Researchers first establish a defined space and arrange synchronized cameras or other sensors to observe it from multiple perspectives. They then detect visible features or markers, relate observations recorded at the same time, and apply triangulation and coordinate calculations. The resulting position measurements can be analyzed over time to quantify movement, interactions, or structural change.
The measurements can support studies of animal locomotion, cell and tissue movement, behavioral interactions, and changes in anatomical structure. Because the system produces objective kinematic data, researchers can examine biomechanics, development, neural function, and disease-related movement. Its value lies in converting observed biological behavior or structural change into spatial measurements that can be compared over time.