Flow cytometry has evolved to become a powerful analytical tool used across cell biology, microbiology and clinical diagnostics. Expanded detection parameters, higher sensitivity and automation are reshaping its capabilities across labs and industries.
Whether monitoring rare cell populations, detecting microplastics or enabling drug discovery, today’s flow cytometry tools deliver unparalleled resolution and throughput.
This listicle highlights the broad and transformative role of flow cytometry in modern bioscience.
Download this listicle to discover:
- How advanced cytometry tools improve sensitivity and multiplexing
- Where flow cytometry is being applied from microbiome studies to immunophenotyping
- Why automation and miniaturization are expanding the real-time potential of flow cytometry
1
Flow cytometry is a long-established reliable technology for counting and separating cells. In its simplest
form, it involves labeling cells with a fluorescent dye or probe and passing (or flowing) them across a
detector that measures or counts the fluorescent signal.
For many years, flow cytometry has been used to determine which cells are present, whether they are
proliferating and to isolate and purify cell populations for further analysis.
Early flow cytometers were equipped with two lasers and could detect only red and green fluorescence,
but today’s fluorescence flow cytometry instruments have up to 9 lasers and more than 100 detectors,
while mass flow cytometry, spectral flow cytometry and imaging flow cytometry have increased the number
and type of parameters than can be measured.1
Spectral flow cytometry instruments capture the full spectrum of fluorescent signals rather than only
those that can be detected at certain wavelengths, allowing improved separation and identification of
different fluorophores and the potential to measure more using a greater number of dyes. Imaging flow
cytometry combines flow cytometry with imaging, providing morphological information in addition to fluorescence
data, enhancing the ability to identify and characterize cell populations. Advancements in signal
detection technology and measurement reaching single-fluorophore resolution have improved sensitivity,2
enabling the detection of rare events and biomarkers.
The addition of automation and design of more compact and benchtop instruments have made flow cytometry
faster and more accessible. Together, these advances have improved the precision and throughput
of flow cytometry, expanding its use in laboratory, manufacturing and clinical settings. In this listicle,
we explore six wide-ranging applications of these advanced flow cytometry tools.
1. Immunophenotyping
Immunophenotyping involves identifying different immune cell types by examining the expression of
proteins on or within the cell. It’s a powerful approach for determining the subsets of immune cells involved
in different inflammatory responses – including infectious diseases, cancer, allergies and autoimmune
disorders.3
Six Ways Flow Cytometry Is
Transforming Biological Analysis
Joanna Owens, PhD
Listicle
SIX WAYS FLOW CYTOMETRY IS TRANSFORMING BIOLOGICAL ANALYSIS 2
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Recently, flow cytometry has been explored as an alternative to conventional drug hypersensitivity testing.
4 Drug hypersensitivity is a common issue but pinpointing the precise cause has traditionally involved
the potentially hazardous practice of exposing an individual to a drug and monitoring their reaction. By
contrast, flow cytometry-based tests for the activation of basophils, mast cells and T cells are in development
and are emerging as alternatives to identify whether inflammatory cells are displaying an “activated”
phenotype. The approach could improve patient safety and could be especially useful in patients who
are difficult to test, such as children.
2. Detecting nano- and micro-plastics
The advent of nano flow cytometry now makes it possible to analyze particles as small as 40 nanometers.
5 In this specialized form of flow cytometry, fluorescently labeled particles are passed through miniscule
nano-channels, allowing their separation and single-particle detection.5 This approach is being used
to analyze extracellular vesicles, viruses and liposomes, making it particularly useful in the development
of novel mRNA-or gene-based therapeutics.1 In addition, nano flow cytometry has recently been adapted
to measure nanoplastics and microplastics in the environment, offering advantages over traditional methods
that often miss particles smaller than one micrometer.6
3. Drug discovery and development
Flow cytometry plays a role across all stages of drug discovery and development thanks to its versatility
and the comprehensive insights it can provide.7 Applications range from identifying cells displaying drug
targets, to detecting signals in high-throughput or phenotypic screening, to identifying and monitoring
biomarkers of drug response. Automation was a critical advance that led to flow cytometry’s use across
these expanded applications and increased the amount of data generated, through multiparametric, multiwell
analysis.7 But it was the advent of automated data processing and machine learning that has truly
transformed its potential in drug discovery by removing the data analysis bottleneck.
4. Monitoring rare cell populations
The improved sensitivity of flow cytometry is extending its application to the monitoring of rare cell populations
or very low levels of disease. For example, highly sensitive flow cytometry coupled with next-generation
sequencing is now being used to detect measurable residual disease (MRD) in patients with the
blood cancer multiple myeloma.8 MRD is emerging as an important predictor of potential treatment
response and prognosis in myeloma and is increasingly used as an endpoint for the accelerated approval
of multiple myeloma drugs. As the use of MRD becomes more established as a clinical diagnostic, the
accessibility of standardized flow cytometry technologies will be important for underpinning its use.
5. Disease characterization
Flow cytometry is sensitive enough to distinguish between cells displaying subtly different molecules. For
example, researchers used flow cytometry to work out how a type of leukemia arises from a rare blood
disorder called paroxysmal nocturnal hemoglobinuria.9 By using flow cytometry to distinguish between
two subpopulations of leukemia cells displaying different complement molecules, they revealed the disease
can develop via two distinct patterns, paving the way for better monitoring and treatment. Imaging
flow cytometry offers further advantages over traditional flow cytometry for analyzing disease biology
because it not only measures fluorescence but also captures images of each cell, allowing researchers to
see where the fluorescence is localized and the cell’s size and shape.
SIX WAYS FLOW CYTOMETRY IS TRANSFORMING BIOLOGICAL ANALYSIS 3
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This has multiple applications; for example, in human immunodeficiency disease (HIV) research it can
reveal where in the body latent HIV is “hiding”, show how cells change shape when they become infected
and determine whether new gene-editing therapies are reaching their target locations.10
6. Microbial analysis and bioprocess monitoring
Flow cytometry is a well-established and powerful tool used in microbiology for characterizing populations
of bacteria, viruses, algae, phytoplankton and parasites.11 It can be used to assess cell viability,
immune responses to specific microbes and pathogen–host interactions. It is increasingly recognized that
an organism’s microbiota – that is, all the microbial communities that live within it – has a profound role
in health and disease. Flow cytometry methods provide the opportunity for rapid profiling and sorting
of microbial populations for further analysis as well as for monitoring changes in response to microbiome-
based therapeutics and, as such, are likely to play an instrumental role in translating microbiome-
based diagnostics and therapeutics into the clinic.
In addition, automation is expanding the use of flow cytometry into bioprocess monitoring.12 The emerging
technology of “reactive flow cytometry” allows users to monitor populations of microbes and then
automatically adjust growth conditions in real time to optimize yields. Automation and new data analysis
algorithms have made it possible to capture and compile snapshots of microbial populations at regular intervals
and then reconstruct single-cell information from these data. Moreover, this approach can be expanded
to monitoring and controlling gene expression by measuring the dynamics of protein translation
and accumulation within cells. By monitoring the amounts of regulatory proteins in this way, it becomes
possible to monitor changing phenotypes of cells.
Conclusion
Advances in flow cytometry have increased the number and type of parameters that can be measured,
providing morphological information, allowing nano- and micro-particles to be sorted and enabling the
detection of rare events and biomarkers. Automation and the design of more compact and benchtop
instruments have made flow cytometry faster and more accessible to researchers across a range of disciplines.
Together, these advances have made flow cytometry a powerful and versatile tool for laboratory,
industrial and clinical applications.
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References
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About the author:
Joanna Owens holds a PhD in molecular toxicology from the University of Surrey. She has over 20 years’ experience writing about
a wide range of scientific topics in biosciences, pharmaceuticals and biotechnology.