Serial Sampling
Serial Sampling - Related Videos
10:53
Serial Dilutions and Plating: Microbial Enumeration
0 Views •
2023
Source: Jonathan F. Blaize1, Elizabeth Suter1, and Christopher P. Corbo1 1 Department of Biological Sciences, Wagner College, 1 Campus Road, Staten Island NY, 10301 Quantitative assessment of prokaryotes can be onerous given their abundance, propensity for exponential proliferation, species diversity within a population, and specific physiological needs. Compounding this challenge, is the four-phase nature in which bacteria replicate (lag, log, stationary and death). The ability to accurately...
01:03
Serial Position Effect
0 Views •
2025
The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
09:21
Serial Block-Face Scanning Electron Microscopy (SBF-SEM) of Biological Tissue Samples
0 Views •
Cited by 32 •
2021
This protocol outlines a routine method for using serial block-face scanning electron microscopy (SBF-SEM), a powerful 3D imaging technique. Successful application of SBF-SEM hinges on proper fixation and tissue staining techniques, as well as careful consideration of imaging settings. This protocol contains practical considerations for the entirety of this process.
07:47
Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy
0 Views •
Cited by 32 •
2016
Mitochondrial visualization and analysis from mammalian brain tissue is a challenging task. Here, we describe how three dimensional (3D) reconstruction analysis from the serial block-face scanning electron microscopy (SBFSEM) can be used to gain insights on the morphological and volumetric analysis of this critical energy generating organelle.
09:46
A Method for Obtaining Serial Ultrathin Sections of Microorganisms in Transmission Electron Microscopy
0 Views •
Cited by 15 •
2018
This study presents reliable and easy procedures for obtaining serial ultrathin sections of a microorganism without expensive equipment in transmission electron microscopy.
FAQs
The pattern across time, rather than one isolated measurement, provides the key evidence. Repeated results can show whether a drug, hormone, cell population, or biomarker changes briefly or remains altered. In medical research and care, that distinction helps relate measurements to treatment, disease progression, or a defined event and supports more informed clinical interpretation.
Collection times should be chosen in relation to the clinical question, because measurements may be interpreted alongside treatment, disease progression, or a specific event. In pharmacokinetic studies, the sequence helps describe how drug levels change; in pharmacodynamic studies, it helps connect drug levels with resulting biological effects over time.
A single specimen shows a value at one moment, whereas Serial Sampling shows how that value behaves across a sequence of measurements. The longitudinal pattern can expose changes that an isolated result misses, allowing clinicians or investigators to interpret a finding in relation to treatment, disease progression, or an event rather than viewing it in isolation.
Depending on the study objective, specimens can be analyzed for drugs, hormones, cells, or biomarkers. Repeating these measurements allows the resulting trajectories to be considered alongside physiological changes or disease-related changes. This flexibility makes the approach useful when the important outcome is a changing biological variable rather than a single end-point value.
A practical workflow links each specimen to its defined collection time and to the patient from whom it came. Researchers or clinicians then compare measurements across the sequence, looking for changes that align with treatment, progression, or events. Consistent time-based organization is therefore essential for interpreting a longitudinal record rather than disconnected results.
Repeated drug measurements show how levels vary over the observed period, providing temporal information for pharmacokinetic analysis and therapeutic drug monitoring. When these results are considered across time, they can support dose selection and help clinicians interpret whether a measured value reflects a transient state or a broader pattern relevant to treatment.
It is useful when the clinical question concerns change rather than a single status measurement. Repeated specimens can help track infection-related variables over time and evaluate how measurements change in relation to treatment. The same longitudinal evidence can also support assessment of disease progression and treatment response in research or clinical settings.