Quality Factor Measurement
Quality Factor Measurement - Related Videos
07:51
Fabrication of Silica Ultra High Quality Factor Microresonators
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Cited by 22 •
2012
We describe the use of a carbon dioxide laser reflow technique to fabricate silica resonant cavities, including free-standing microspheres and on-chip microtoroids. The reflow method removes surface imperfections, allowing long photon lifetimes within both devices. The resulting devices have ultra high quality factors, enabling applications ranging from telecommunications to biodetection.
01:21
Voltammetry: Factors Affecting Measurements
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2024
A current produced due to the redox reactions of the analyte at the working and auxiliary electrodes is called a faradaic current. The reaction can be divided into two types. The current generated due to the reduction of the analyte is called cathodic current, and it carries a positive charge. In contrast, the current produced by analyte oxidation is known as an anodic current, and it has a negative charge. The applied potential at the working electrode determines the faradaic current flow, and...
13:08
Measurement of Factor V Activity in Human Plasma Using a Microplate Coagulation Assay
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Cited by 10 •
2012
This study describes a novel microplate assay that measures FV coagulation activity during fibrin clot formation in human plasma which has not been reported previously. The method uses a kinetic microplate reader to continuously measure the change in absorbance at 405nm during fibrin clot formation in human plasma.
06:42
Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment
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2019
Accurate quantification of phosphorus (P) desorption potential in saturated soils and sediments is important for P modeling and transport mitigation efforts. To better account for in situ soil-water redox dynamics and P mobilization under prolonged saturation, a simple approach was developed based on repeated sampling of laboratory microcosms.
06:33
Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
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Cited by 1 •
2013
This paper describes in-house procedures of constructing a preclinical multimodality phantom made of tissue-mimicking (TM) materials for quality assurance (QA) of tumor size measurement in animal imaging modalities such as ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI).
FAQs
A high measured quality factor indicates that a resonant system loses relatively little energy during each oscillatory cycle. This generally corresponds to weaker damping, a narrower resonance response, and greater frequency selectivity. In engineering, interpreting these linked effects helps distinguish efficient energy storage from poor performance caused by larger losses.
Using frequency-response data, engineers locate the resonance frequency and identify the two half-power frequencies surrounding the response peak. The bandwidth is the difference between those frequencies, and quality factor is estimated by dividing resonance frequency by that bandwidth. A smaller bandwidth therefore produces a larger measured factor, indicating stronger selectivity around resonance.
A decay-rate measurement evaluates how quickly the system response diminishes after excitation, providing another indication of energy loss. Faster decay corresponds to greater loss and stronger damping, whereas slower decay indicates more persistent energy storage. This approach complements frequency-response testing when the resonant behavior is better characterized through its fading response than through bandwidth.
The same measurement concept can characterize both mechanical resonators and electrical circuits, even though their physical components differ. Engineers examine how each system responds near its natural frequency and use resonance behavior to assess losses and selectivity. This common framework supports comparisons among components, sensors, filters, and other resonant devices.
The usual workflow is to excite the component or circuit near its natural frequency, determine the resonance frequency, and quantify the response using either bandwidth or decay rate. With the frequency-response route, engineers identify the half-power points and calculate the bandwidth before estimating the quality factor from the measured values.
Engineers use the measurement to characterize resonators, sensors, filters, electrical circuits, and mechanical components. The resulting value can help quantify energy losses, evaluate material behavior, diagnose defects, and optimize a design. Because it connects resonance behavior with damping and selectivity, it supports both performance assessment and investigation of unwanted system changes.