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Related Concept Videos

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
Subcellular Fractionation01:32

Subcellular Fractionation

The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
Differential centrifugation is...
Centrifugation01:05

Centrifugation

Centrifugation is a separation technique based on differences in density or size. It is commonly used to separate solids from aqueous interferents. During centrifugation, the sample is placed in centrifugation tubes and spun at high angular velocity, which allows centrifugal force to act differentially on the different densities or masses of the components. After spinning, the supernatant liquid is decanted. Depending on the specific application, either the pellet or the supernatant is retained...

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Related Experiment Video

Updated: Jun 27, 2026

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles
10:16

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles

Published on: January 20, 2023

Optimization and Parallelization of Sorting by Interfacial Tension (SIFT) for High-Throughput Metabolic Cell Sorting.

Aria Trivedi1, Thomas Mathew1, Matthew Shulman1

  • 1Department of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA 95053, USA.

Micromachines
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Optimizing Sorting by Interfacial Tension (SIFT) significantly boosted throughput to 250 droplets per second. This enhanced SIFT platform enables large-scale studies of rare cell populations and their metabolic functions.

Keywords:
T-cellscellscytometrydroplet microfluidicsglycolysismetabolismmicrofluidicspassive sortingsorting

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Last Updated: Jun 27, 2026

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles
10:16

Optimization of Flow Cytometric Sorting Parameters for High-Throughput Isolation and Purification of Small Extracellular Vesicles

Published on: January 20, 2023

Setting a Successful Sorting for Extracellular Vesicle Isolation
08:37

Setting a Successful Sorting for Extracellular Vesicle Isolation

Published on: October 11, 2024

Purification of Specific Cell Population by Fluorescence Activated Cell Sorting (FACS)
15:29

Purification of Specific Cell Population by Fluorescence Activated Cell Sorting (FACS)

Published on: July 10, 2010

Area of Science:

  • Biotechnology
  • Cell Biology
  • Biophysics

Background:

  • Sorting by Interfacial Tension (SIFT) is a microfluidic technique for cell separation.
  • Existing SIFT platforms face limitations in throughput and operational stability.
  • Optimizing SIFT is crucial for enabling large-scale biological applications.

Purpose of the Study:

  • To systematically optimize the throughput and operational runtime of the SIFT technique.
  • To enhance SIFT's capabilities for large-scale functional studies and capturing rare cell populations.
  • To investigate the relationship between cellular glycolysis and iron homeostasis at the single-cell level.

Main Methods:

  • Systematic optimization of droplet size and trajectory distribution within SIFT.
  • Device parallelization using two and four independent sorting regions.
  • Application of the optimized SIFT platform to analyze activated Jurkat cells.

Main Results:

  • Achieved a four-fold improvement in throughput (30 to 125 droplets/sec) by reducing droplet size and broadening trajectory distribution.
  • Maximized throughput reached approximately 250 droplets/sec with a two-element configuration, balancing performance and simplicity.
  • Demonstrated sustained throughput and stable pH sorting thresholds for two hours of continuous operation.
  • Identified a subpopulation of highly glycolytic Jurkat cells with elevated iron uptake.

Conclusions:

  • Optimized SIFT offers significantly enhanced throughput, stability, and broader biological applicability.
  • The improved platform facilitates large-scale functional studies and the isolation of rare, metabolically distinct cell populations.
  • SIFT advancements provide new insights into cellular metabolism and homeostasis, such as the link between glycolysis and iron uptake in T cells.