Drift Time Measurement
Drift Time Measurement - Related Videos
10:04
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Cited by 222 •
2014
Time-lapse microscopy allows the visualization of developmental processes. Growth or drift of samples during image acquisition reduces the ability to accurately follow and measure cell movements during development. We describe the use of open source image processing software to correct for three dimensional sample drift over time.
06:19
Hardy-Weinberg and Genetic Drift - Concepts
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2019
Evolutionary change is interesting and important to study, but changes in populations occur over long periods of time and in huge physical spaces and are therefore very difficult to measure. In general, studying phenomena like this requires the use of mathematical models which are built using parameters that can be conveniently measured. These models are then used to make predictions about how changes to the system might affect the outcome. For example, changes to the frequency of genetic...
01:53
Hardy-Weinberg and Genetic Drift - Instructor Prep
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2019
Mathematical ModelingExpand Before beginning the mathematical modeling exercise make sure each computer has access to an either on or offline spreadsheet software program. Simulation for Hardy-Weinberg and Genetic DriftExpand Prepare one set of beads for each pair of students by counting out 50 of one color and then 50 of a second color, for a total of 100 beads. Then, place the beads in a paper bag. Students will also need extra beads to adjust the...
15:42
Hardy-Weinberg and Genetic Drift - Student Protocol
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2019
Class Simulation ExpandBegin by opening a new spreadsheet file. Following the Hardy-Weinberg equation where p is the frequency of a dominant allele A in a population, and q is defined as the frequency of a recessive allele B, input frequency p of allele A into cell B2, and frequency q of allele B into cell B3. Assign the value 0.5 to cell C2. Following the 1 – p = q equation, enter the formula “= 1 – C2” into cell C3 to calculate the frequency q of allele B. NOTE: Cells C2 and C3 will represent...
01:05
Instinctive Drift
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2024
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
FAQs
Drift time measurement depends on more than elapsed travel time alone. An ion’s charge, size, shape, and interactions with the surrounding gas influence its mobility through the drift region. Because these properties affect arrival time, comparing measured times can help distinguish biomolecular components and support structural characterization.
Within the drift region, the electric field supplies the force that moves charged particles, while the gas provides the environment through which they travel. Differences in how ions interact with that gas alter their mobility and consequently their arrival times. Understanding this relationship is central to interpreting drift-time signals as measurements related to molecular properties.
Drift time measurement can complement mass spectrometry by adding mobility-related information to mass-based analysis. This combination provides another way to compare ions and can improve confidence when identifying biomolecules or examining their structures. The added separation dimension is especially useful when biological samples contain complex mixtures whose components may require multiple kinds of evidence for interpretation.
A basic workflow places charged particles in a defined, gas-filled drift region and applies an electric field to drive them through it. The time required to reach the measurement point is recorded as an arrival-time signal. Researchers can then relate that signal to ion mobility and use it alongside other analytical measurements.
In biological research, the approach can be applied to peptides, proteins, metabolites, and other biomolecules. Measuring their drift behavior supports molecular identification and structural analysis, while also helping separate components within complex samples. This broad applicability makes the method relevant to studies that compare biomolecular compositions or investigate previously characterized and discovery-oriented samples.
For complex biological mixtures, differences in arrival time provide a separation-related signal linked to molecular mobility and physical properties. That information can contribute to molecular identification, structural analysis, and comparison between samples. When combined with mass spectrometry, it can improve confidence in interpreting results from comparative studies and discovery studies.