Residence Time Measurement
Residence Time Measurement - Related Videos
01:05
Noncompartmental Analysis: Mean Residence Time
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2025
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body. After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
04:23
Real-Time Analysis of Resident T-cell Migration in Different Tumor Regions Using Confocal Microscopy
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2025
This video describes the imaging of resident tumor-infiltrating CD8 T cells labeled with fluorescently coupled antibodies within human lung tumor slices. This technique permits real-time analyses of CD8 T cell migration using confocal microscopy.
09:12
The Resident-intruder Paradigm: A Standardized Test for Aggression, Violence and Social Stress
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Cited by 383 •
2013
This video shows the resident-intruder paradigm in rats. This test is a standardized method to measure offensive aggression, defensive behavior and violence in a semi-natural setting. The use of the paradigm for social stress experiments is explained as well.
04:56
Real-Time Force Measurement Between Emulsion Droplets During Enzymatic Breakdown
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2025
This protocol employs dual-trap optical tweezers to measure inter-droplet forces in real time during the enzymatic digestion of emulsions. It facilitates the study of emulsion stability and droplet dynamics, with applications in food science and pharmaceuticals.
09:43
Measuring Reaction Time and Donders' Method of Subtraction
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University The ambition of experimental psychology is to characterize the mental events that support the human ability to solve problems, perceive the world, and turn thoughts into words and sentences. But people cannot see or feel those mental events; they cannot be weighed, combined in test tubes, or grown in a dish. Wanting to study mental life, nonetheless, Franciscus Donders, a Dutch ophthalmologist in the early 1800s, came up with a...
FAQs
The measured value depends on how the compartment or system is defined, how the substance or entity moves within it, and how transport, exchange, and processing shape its pattern over time. Conditions within the system can therefore influence the result. Clear compartment boundaries and consistent monitoring help make residence-time estimates meaningful for comparison.
These patterns provide different temporal signals for estimating how long a tracer remains associated with a system. Arrival shows when it becomes detectable, retention describes its continued presence, and washout follows its decline or disappearance. Examining the full pattern helps distinguish movement through a compartment from prolonged presence or delayed removal.
Comparing residence times between compartments, organisms, tissues, or experimental conditions can reveal differences in transport, exchange, or processing. A changed value may indicate a bottleneck, altered physiology, or a system condition that affects biological function. The comparison is most informative when the measurement approach and defined compartments remain consistent across cases.
First, researchers define the compartment or system and introduce or identify a suitable tracer, substance, particle, or biological entity. They then monitor its concentration or location over time and record arrival, retention, or washout behavior. The resulting time-dependent pattern is analyzed to estimate residence time and compare system behavior.
The approach can be applied to movement through organisms, tissues, and laboratory systems. It can also examine nutrient or metabolite handling, drug disposition, and microbial or ecological processes. Because the measurement follows persistence and movement over time, it links observations of a substance or entity to transport and processing within the selected biological context.
Residence-time data can indicate how a biological system handles movement, exchange, and processing, while differences among measurements can expose altered physiology or potential bottlenecks. Researchers can also assess how changing system conditions affects biological function. Interpretation depends on the observed temporal pattern and on the compartment or system selected for analysis.