Repeated Blood Sampling
Repeated Blood Sampling - Related Videos
06:17
Repeated Blood Collection for Blood Tests in Adult Zebrafish
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Cited by 87 •
2015
Repeated blood sampling is necessary and important in animal research. We developed a novel, non-lethal and reliable method for repeated blood collection from adult zebrafish, and applied this method to the study of blood biochemistry, including glucose metabolism.
05:12
Repeated Blood Collection from Tail Vein of Non-Anesthetized Rats with a Vacuum Blood Collection System
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Cited by 25 •
2017
Here, we describe a simple tail vein blood sampling method in non-anesthetized rats using a vacuum extraction tube system. This method reduces the risk of direct exposure to blood and simplifies taking multiple samples from a single venipuncture.
07:11
Sampling Blood from the Lateral Tail Vein of the Rat
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Cited by 82 •
2015
Blood samples are useful for assessing biomarkers of physiological states or disease in vivo. Here we describe the methodology to sample blood from the lateral tail vein in the rat. This method provides rapid samples with minimal pain and invasiveness.
04:10
Detection of Rhesus Factor in Human Blood Samples using Magnetic Levitation
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2025
This video demonstrates the detection of the Rhesus (Rh) factor in blood samples using a magnetic levitation instrument. The magnetic field aligns and levitates beads and blood cells based on density. Treating the samples with anti-Rh antibodies results in intermediate-density bead-cell complexes' formation, allowing for the differentiation of Rh-positive and Rh-negative red blood cells.
06:39
Through-the-Wall Blood Sampling Method to Minimize Sleep Disruption in Clinical Settings
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Cited by 1 •
2025
Here, we present a through-the-wall, minimally invasive method to sample blood during sleep in clinical settings.
FAQs
Repeated blood sampling is most informative when each person serves as their own reference across time. Measurements can then reveal changes in cell populations, metabolites, hormones, antibodies, or other circulating biomarkers without relying only on differences between separate individuals. This within-individual comparison helps distinguish temporal biological change from variation that exists among individuals.
Sampling time points determine which biological patterns can be observed. A schedule can be arranged to follow physiological rhythms, immune responses, disease progression, or changes after an experimental treatment. Consistent timing and collection conditions make successive measurements more comparable, whereas irregular timing may make a true change difficult to separate from normal time-dependent variation.
Sample-volume control balances scientific aims with participant or animal welfare. The study must obtain enough material for planned analyses while limiting the amount collected at each time point. Ethical monitoring remains important throughout the series, because repeated procedures create an ongoing responsibility to protect the individual and to reassess whether sampling remains appropriate.
Consistent collection and handling are essential because differences introduced before analysis can be mistaken for biological change. The same general procedure should be maintained across planned specimens, followed by analysis of the selected circulating features. This standardization supports meaningful comparisons among time points and improves confidence that observed trends reflect the biology under study.
A practical workflow begins by selecting the circulating features to measure, setting planned collection times, controlling the volume obtained, and applying the same collection and handling procedure to every specimen. The samples are then analyzed for the chosen cells, metabolites, hormones, antibodies, or other biomarkers. Linking each result to its time point enables longitudinal interpretation.
In biology, this approach can track physiological rhythms, characterize immune responses, monitor disease progression, and evaluate responses to experimental treatments. Its value lies in showing how measurements evolve within the same individual, rather than providing only a one-time snapshot. The resulting time series can connect biomarker changes with the course of a biological or treatment-related process.