Flow Cytometry Sorting
Flow Cytometry Sorting - Related Videos
17:07
Flow Cytometry and Fluorescence-Activated Cell Sorting (FACS): Isolation of Splenic B Lymphocytes
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2023
Source: Perchet Thibaut1,2,3, Meunier Sylvain1,2,3, Sophie Novault4, Rachel Golub1,2,3 1 Unit for Lymphopoiesis, Department of Immunology, Pasteur Institute, Paris, France 2 INSERM U1223, Paris, France 3 Université Paris Diderot, Sorbonne Paris Cité, Cellule Pasteur, Paris, France 4 Flow Cytometry Platfrom, Cytometry and Biomarkers UtechS, Center for Translational Science, Pasteur Institute, Paris, France The overall function of the immune system is to defend the body against infectious...
06:31
Step-specific Sorting of Mouse Spermatids by Flow Cytometry
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Cited by 11 •
2015
We describe a sorting strategy for mouse spermatids using flow cytometry. Spermatids are sorted into four highly pure populations, including round (spermiogenesis steps 1-9), early elongating (spermiogenesis steps 10-12), late elongating (spermiogenesis steps 13-14) and elongated spermatids (spermiogenesis steps 15-16). DNA staining, size and granulosity are used as selection parameters.
03:01
Flow Cytometry-Based Cell Sorting for Different Circulatory B Cell Populations
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2025
In this video, we describe a protocol for the flow cytometry-based sorting of naïve B cell, memory B cell, and plasmablast plasma cell subpopulations from human peripheral blood B cells. The different B cell subpopulations can be distinguished based on fluorophore-based antibody binding to the CD19, CD27, and CD38 receptors expressed on the B cell surfaces, followed by cell sorting.
10:43
Flow Cytometry Purification of Mouse Meiotic Cells
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Cited by 65 •
2011
An efficient method to obtain highly purified viable meiotic fractions from mouse testis is described, which combines a refined cell dissociation protocol with fluorescent activated cell sorting (FACS). This method takes advantage of differences in the DNA content and nuclear density of discrete meiotic fractions.
09:11
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
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Cited by 5 •
2023
The micronucleus (MN) assay is a well-established test for quantifying DNA damage. However, scoring the assay using conventional techniques such as manual microscopy or feature-based image analysis is laborious and challenging. This paper describes the methodology to develop an artificial intelligence model to score the MN assay using imaging flow cytometry data.
FAQs
Light scatter provides information about a cell’s physical properties, while fluorescence reports the presence of labeled markers. The instrument combines these signals as cells pass through the laser beams, allowing selected cells to be distinguished from other members of a heterogeneous population. This supports isolation of immune subsets or cells that differ in marker expression.
Hydrodynamic focusing arranges cells into a single-file stream before they encounter the lasers. That organization allows detectors to associate measured scatter and fluorescence signals with individual cells rather than overlapping events. As a result, Flow Cytometry Sorting can make selection decisions at the single-cell level, which is essential when separating closely related populations.
After measurement, selected cells become enclosed in droplets, and the instrument assigns an electrical charge to those droplets. An electrostatic field then deflects charged droplets into collection vessels, while other droplets follow different paths. This coupling of optical identification with droplet-based deflection converts marker-based recognition into physical recovery of the chosen population.
The available separation depends on measurable physical properties and fluorescent markers associated with the cells. Populations that differ in these signals can be distinguished and collected, including defined immune-cell subsets or infected and uninfected cells. The quality of the resulting enrichment therefore depends on whether the chosen measurements identify the biological distinction relevant to the experiment.
Researchers first pass the cell population through the instrument, measure scatter and fluorescence, and direct selected droplets into collection vessels. The recovered cells can then be used for culture, molecular profiling, or functional assays. This workflow links an observed cellular phenotype with follow-up experiments that examine cellular behavior, molecular features, or immune function.
In infection studies, the method can separate infected from uninfected cells and enrich immune-cell populations defined by fluorescent markers or physical properties. These fractions support investigation of antigen expression, host-pathogen interactions, and immune activation. Subsequent culture, molecular profiling, or functional assays can reveal how infection status or immune phenotype relates to cellular function.