Measurement Systems
Measurement Systems - Related Videos
08:23
Comet Assay as an Indirect Measure of Systemic Oxidative Stress
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Cited by 24 •
2015
Comet assay measures DNA breaks, induced by different factors. If all factors (except oxidative stress) causing DNA damage are kept constant, the amount of DNA damage is a good indirect parameter of oxidative stress. The goal of this protocol is to use comet assay for indirect measurement of oxidative stress.
08:17
Fluorescent Nanoparticles for the Measurement of Ion Concentration in Biological Systems
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Cited by 24 •
2011
Fluorescent nanoparticles produced in our lab are used for imaging ion concentrations and ion fluxes in biological systems such as cells during signaling and interstitial fluid during physiological homeostasis.
13:19
The Use of Chemostats in Microbial Systems Biology
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Cited by 73 •
2013
Cell growth rate is a regulated process and a primary determinant of cell physiology. Continuous culturing using chemostats enables extrinsic control of cell growth rate by nutrient limitation facilitating the study of molecular networks that control cell growth and how those networks evolve to optimize cell growth.
09:34
Implementation of Portable Emissions Measurement Systems (PEMS) for the Real-driving Emissions (RDE) Regulation in Europe
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Cited by 43 •
2016
The European Commission has developed a Real-Driving Emissions (RDE) test procedure to verify pollutant emissions during real-world vehicle operation using the Portable Emissions Measurement Systems (PEMS). This paper presents the experimental procedures required by the newly-adopted RDE test.
01:18
Second Order systems II
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2024
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero. If ζ...
FAQs
A physical reading becomes interpretable when tied to a defined reference. The comparison establishes how much of the quantity is present relative to an agreed standard, allowing results from different instruments or experiments to be compared. In physics, this shared basis supports tests of physical laws because differences in readings can be evaluated against a consistent measurement framework.
Calibration gives an instrument reading a recognized reference point, rather than leaving the value as an unexplained output. By linking what the instrument displays to an established standard, calibration helps determine how the reading should be interpreted within the measurement system. This connection is essential when instruments produce data for experiments or sensor applications.
Uncertainty analysis indicates how reliably a measured result can be used, rather than treating every numerical value as exact. It helps researchers recognize the limits of an experimental conclusion and judge whether observed differences are meaningful within the reliability of the measurement. In physics, this makes reported results more transparent and supports careful testing of physical laws.
The International System of Units supplies a common foundation for quantities such as length, mass, time, and temperature. Using that shared framework lets laboratories communicate measurements in consistent terms and compare results across experiments. Its role is therefore broader than naming units: it supports the common language needed for physical testing, engineering design, and reproducible research.
A useful workflow starts by identifying the physical quantity, selecting an appropriate unit and instrument, and comparing the unknown with the defined reference. The reading should then be connected to a recognized standard through calibration, followed by an assessment of uncertainty. Reporting the result with its reliability in mind makes the measurement suitable for comparison and interpretation.
Sensor calibration uses the same reference-based logic as other physical measurements: the sensor’s output is linked to a recognized standard so its readings can be interpreted consistently. This application connects what the sensor reports with the quantity being measured. It is particularly relevant in experiments and engineering settings where dependable sensor data supports design or physical testing.
Consistent measurement systems make results easier to compare, reproduce, and evaluate across laboratories and experiments. In physics, they support testing physical laws; in engineering, they inform design; and in research, they help scientists communicate findings while recognizing measurement limits. Their value lies not only in obtaining numbers, but in making those numbers usable as shared evidence.