Blood Sample Separation
Blood Sample Separation - Related Videos
08:44
Separation of Immune Cell Subpopulations in Peripheral Blood Samples from Children with Infectious Mononucleosis
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Cited by 4 •
2022
We describe a method combining immunomagnetic beads and fluorescence-activated cell sorting to isolate and analyze defined immune cell subpopulations of peripheral blood mononuclear cells (monocytes, CD4+ T cells, CD8+ T cells, B cells, and natural killer cells). Using this method, magnetic and fluorescently labeled cells can be purified and analyzed.
02:57
Isolation of Lipids from Human Blood-Derived Neutrophils by Biphasic Separation
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2025
This video demonstrates lipid isolation from human neutrophils by a biphasic solvent system using methanol and chloroform.
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.
08:49
Automatic Separation and Collection of Cancer-Related Substances from Clinical Samples
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2023
This paper describes the application of automated equipment to easily and efficiently separate and collect substances, such as cell-free DNA and circulating tumor cells, from whole blood.
03:50
CTC Isolation from a Whole Blood Sample: A Method to Obtain CTCs from Murine Colorectal Cancer Model
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2023
This video describes a detailed protocol for isolating circulating tumor cells from the whole blood sample of a euthanized colorectal tumor mouse model. These isolated CTCs can be cultured and used for intended downstream analysis.
FAQs
Centrifugation uses differences in component density to redistribute blood during spinning. Denser cellular material moves into lower layers, while less dense plasma or serum remains above it. The resulting stratification makes components visually distinguishable and supports targeted isolation for analysis or further use. Clear layer formation also helps limit mixing between fractions.
Filtration and microfluidic methods provide alternatives to density-based centrifugation by adding control based on particle size or fluid flow. This distinction allows bioengineers to design separation strategies around the characteristics of the desired component and the sample-processing goal. Such approaches are especially relevant when developing devices that require more controlled handling than conventional workflows.
Cross-contamination can mix cellular and noncellular fractions, compromising the quality of downstream measurements. Reliable separation preserves the intended composition of plasma, serum, red blood cell, white blood cell, or platelet samples. In turn, cleaner fractions support more reproducible biomarker measurements, diagnostic testing, and cell-based research, where unwanted material could affect interpretation.
A basic workflow begins by identifying the component needed for analysis or further use, then selecting centrifugation, filtration, or a microfluidic approach suited to that goal. With centrifugation, the sample is processed until distinct layers form, after which the relevant fraction can be isolated for testing, research, transfusion preparation, or device evaluation.
Researchers apply this process when blood must be divided into usable fractions for diagnostic testing, biomarker measurement, or cell-based research. Separating the relevant component makes it possible to examine biological signals or cellular material more appropriately than analyzing an unprocessed sample. The same principle supports preparation of blood products and assessment of processing technologies.
In bioengineering, separated blood fractions provide practical targets for designing and evaluating processing devices. Centrifugation, filtration, and microfluidic methods can be compared according to how well they isolate desired components and reduce cross-contamination. This work connects separation performance with sample quality, reproducible measurements, diagnostic workflows, transfusion preparation, and other blood-processing applications.