Time Point Sampling
Time Point Sampling - Related Videos
01:11
Sampling Continuous Time Signal
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2024
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points. In the...
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.
07:55
An All-in-one Sample Holder for Macromolecular X-ray Crystallography with Minimal Background Scattering
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Cited by 4 •
2019
A novel sample holder for macromolecular X-ray crystallography along with a suitable handling protocol is presented. The system allows crystal growth, crystal soaking and in situ diffraction data collection at both, ambient and cryogenic temperature without the need of any crystal manipulation or mounting.
01:18
Sampling Methods: Sample Types
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2024
Sampling materials are classified into three main types: solid, liquid, and gas. Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
10:16
Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Cited by 186 •
2016
The protocol below describes the methodology for: microplastics sampling on the sea surface, separation of microplastic and chemical identification of particles. This protocol is in line with the recommendations for microplastics monitoring published by the MSFD Technical Subgroup on Marine Litter.
FAQs
Consistency across time points helps isolate biological change from sampling variation. Researchers keep collection procedures and relevant conditions aligned, then interpret differences as stronger evidence of an underlying process rather than an artifact of how a specimen was obtained or measured. This principle improves confidence when comparing responses across the series.
The spacing of measurements determines which changes a study can reveal. Closely timed observations may capture short-lived responses, whereas later intervals can expose delayed effects or transitions. A schedule that misses the relevant period may obscure when a change occurred, limiting conclusions about its timing. Interval selection therefore shapes temporal resolution and interpretation.
Time Point Sampling places biological measurements in sequence rather than treating them as isolated observations. Examining the pattern across that sequence can show whether a response appears early, persists, or emerges later. This helps researchers identify temporal relationships and locate when key biological changes occur, strengthening interpretation of dynamic biological systems.
A practical workflow begins by defining the moments to be studied, then collecting specimens, observations, or measurements at those scheduled points. Researchers apply the same procedures and conditions throughout the study, organize the results as a time series, and compare values between points. This structure helps distinguish biological changes from inconsistencies introduced during data collection.
In biology, the approach can address questions about development, disease progression, gene expression, cellular responses, or treatment effects. The measured material may be a specimen, an observation, or another biological measurement, depending on the study. Across these applications, its value comes from connecting changing measurements with a defined stage of the biological process.
Comparing measurements across multiple points can reveal whether a change appears early, continues over time, or emerges only after a delay. A series can also indicate when a major biological transition occurs. These outcomes support more precise conclusions about biological progression and treatment-related effects, provided that collection remains consistent across the study.