Optical Tracking System
Optical Tracking System - Related Videos
05:52
Analyzing the Movement of the Nauplius 'Artemia salina' by Optical Tracking of Plasmonic Nanoparticles
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Cited by 8 •
2014
We use optical tracking of plasmonic nanoparticles to probe and characterize the frequency movements of aquatic organisms.
04:33
Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver
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Cited by 7 •
2018
Accurate and efficient visualization of invasive medical devices is extremely important in many ultrasound-guided minimally invasive procedures. Here, a method for localizing the spatial position of a needle tip relative to the ultrasound imaging probe is presented.
06:58
Real-time Tracking of DNA Fragment Separation by Smartphone
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Cited by 2 •
2017
Traditional slab gel electrophoresis (SGE) experiments require a complicated apparatus and high chemical consumption. This work presents a protocol that describes a low-cost method to separate DNA fragments within a short timeframe.
08:31
Three-dimensional Optical-resolution Photoacoustic Microscopy
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Cited by 27 •
2011
Optical-resolution photoacoustic microscopy (OR-PAM) is an emerging technology capable of imaging optical absorption contrasts in vivo with cellular resolution and sensitivity. Here, we provide a visualized instruction on the experimental protocols of OR-PAM, including system configuration, system alignment, typical in vivo experimental procedures, and functional imaging schemes.
09:39
Optical Biosensing
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2023
Optical biosensors utilize light to detect the binding of a target molecule. These sensors can utilize a label molecule, which produces a measurable signal such as fluorescence, or these sensors can be label-free and use the changes in optical properties, such as refractive index, to sense for the binding of the target molecule. This video introduces both label and label-free optical biosensors, demonstrates their use in the laboratory, and shows some applications of the technology.
FAQs
Triangulation estimates the spatial coordinates of a tracked feature by combining its observed positions from calibrated imaging viewpoints. Calibration establishes the relationship between image measurements and the measurement space, allowing the system to convert visual observations into coordinates. In bioengineering experiments, this geometric step makes movement quantifiable rather than merely descriptive and supports comparisons across repeated measurements.
Calibration links camera-based observations to the spatial coordinate system used for measurement. Without this relationship, image locations cannot be interpreted reliably as positions in the experimental space. Proper calibration therefore supports accurate tracking of anatomy, instruments, or other objects and improves the precision and reproducibility of measurements collected during bioengineering studies.
Reflective markers and naturally visible features provide identifiable points that image analysis can follow across sequential frames. Markers can designate specific locations on an object or biological structure, while visible features may support tracking without adding a marker. Consistent identification of these points allows the system to calculate movement and spatial relationships over time.
Sequential images capture how tracked features change position over time. Computer-vision analysis identifies those features in successive frames and converts their changing image locations into spatial measurements through calibration, triangulation, or related methods. The resulting time-resolved data can show movement patterns and provide a quantitative basis for evaluating biomechanics or instrument alignment.
A typical workflow identifies visible features or places reflective markers on the object or biological structure, records sequential images, and applies calibration before coordinate calculation. Image analysis then follows the selected points and derives their spatial positions using triangulation or related computer-vision methods. The resulting measurements can be used to quantify movement or alignment.
Researchers apply optical tracking when they need noncontact, time-resolved measurements of movement or spatial alignment. Relevant uses include motion analysis, surgical navigation, rehabilitation studies, biomechanics, and evaluating how instruments align with anatomy. These applications allow investigators to examine biological motion and procedure-related positioning without relying solely on descriptive observation.
The measurements can quantify movement, document the position of biological structures or instruments, and evaluate device performance. In experimental and clinical procedures, this information can help assess alignment with anatomy and support more precise, reproducible workflows. Because the data are time-resolved, researchers can also examine how position changes during an activity or procedure.