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Conventional Flow Cytometry vs. Spectral Flow Cytometry

Mon, 11/14/2022 - 11:17


Flow cytometry graphic banner

By Hunter Martinez

 

The flow cytometer is a critical piece of equipment in any immunologist’s arsenal. Flow cytometry allows for the acquisition of 4-6x105 cells per minute, each resolved at the single cell level. Scientists can interrogate protein, gene expression, as well as metabolic state of a cell using a flow cytometer.

 

The Basics of Cytometry

A cytometer accomplishes this feat using the principle of fluorescence. Fluorescence occurs when light from a laser is absorbed by a fluorophore, and then emitted as longer wavelength light or lower energy photon. In a flow experiment, fluorophores are conjugated to antibodies and mixed with cells of interest. Multiple antigens can be detected simultaneously, with each antigen assigned a specific fluorophore. However, fluorophores do not emit light in discrete peaks at one wavelength. Rather, the emission peaks are usually broad, spanning several wavelengths along the visible light spectrum. In the early days of cytometry, when only one or two fluorochromes was used to analyze cells, the emission spectrum of the fluorophore was not an obstacle for analysis, as overlap was rare. Increasingly, more parameters are needed to analyze a single sample and overlapping emission presents a problem: how do you discern which emission came from which fluorophore in a multiparameter experiment? There are two major approaches available to tackle this issue: conventional and spectral cytometry.

 

Examples showing a readout with three different fluorophores on Novus Spectra Viewer.

Novus Spectra Viewer showing an example readout of three different fluorophores: Alexa Fluor 405 (purple), Alexa Fluor 488 (green), and PE-Cy7 (red). The excitation spectrum for each is displayed as a dotted line whereas the emission spectrum is shown as a solid line with the area filled in under the curve.

 

Find Flow Cytometry Quality Control Beads

 

 

A Narrow View: Conventional Cytometry

Conventional flow cytometers approach the fluorescence emission “problem” by filtering the emission light through bandpass filters allowing specific wavelengths of light through to each detector and then “subtracting” light spillover from other fluorophores using compensation. Compensation, or subtracting the spillover light, is accomplished by recording the two overlapping parameters separately and mathematically deducting the overlapping areas on the spectrum upon their mixing. Filters typically correspond to the peak emission wavelength of fluorophores used in each experiment. This means a conventional cytometer can only obtain data from as many fluorescent parameters as there are detectors. Current panel limits for a conventional cytometers range 15-20 colors.

 

The Whole Picture: Spectral Cytometry

A spectral cytometer takes a more holistic approach, and importantly, removes this notion of a “primary” channel for each fluorophore. A spectral cytometer is set up with many detectors to monitor small segments across the full light spectrum. Collectively, each detector is assumed to be detecting a mixture of photons from multiple fluorophores in any given experiment. Rather than compensating or subtracting the spillover to correct fluorophore overlap, the mathematics of mixture modeling, specifically principal component analysis and least squares unmixing, are used to resolve each parameter. Like the conventional cytometer, the spectral cytometer must see each fluorescent parameter by itself in addition to the mixed unknown sample. One additional benefit of spectral cytometry is the subtraction of cellular autofluorescence to improve signal resolution. Flow panels on spectral cytometers can have as many as 40 colors, but panels must be carefully designed.

 

 

Example of conventional flow cytometry spectra view readout using Novus’ flow cytometry panel builder using the BD LSR2 Fortessa X-20 (5 laser) shown under the 488 laser with PE-Cy7 and Alexa Fluor 488 conjugated antibodies.
Example of spectral flow cytometry spectra view readout using Novus’ flow cytometry panel builder using the Cytek Aurora 5L instrument with PE-Cy7 and Alexa Fluor 488 conjugated antibodies.

Novus flow cytometry panel builder tool comparing the spectra view readout of conventional flow cytometry (top) and spectral flow cytometry (bottom). The example conventional flow panel was built using the BD LSR2 Fortessa X-20 (5 Laser), shown under the 488 laser, while the spectral flow panel used the Cytek Aurora 5L instrument. Both examples use PE-Cy7 conjugated to Mouse Anti-Human CD3 epsilon Monoclonal Antibody (Catalog # NBP1-30426PECY7) and Alexa Fluor 488 conjugated to Mouse Anti-Human CD4 Monoclonal Antibody (Catalog # FAB39713G).

 

Shared Characteristics

Both approaches in cytometry still require intelligent panel design. When considering fluorophores that are bright (e.g. APC, PE), it is recommended to assign them to lowly expressed antigens. Additionally, avoid using fluorophores with similar spectrums (or peak emissions) for antigens expressed on the same cell. Finally, both modern versions of these cytometers have automated high-throughput capabilities in the form of plate readers.

 

Flow Cytometry Panel Builder tool

 

Bio-Techne Resources for Flow Cytometry:

 

View Antibodies for Flow Cytometry

 

Hunter MartinezHunter Martinez
Stanford University School of Medicine
Hunter is a PhD graduate student studying the role of the extracellular matrix in T cell activation and function.

 

References

Novo D. A comparison of spectral unmixing to conventional compensation for the calculation of fluorochrome abundances from flow cytometric data [published online ahead of print, 2022 Jul 15]. Cytometry A. 2022;10.1002/cyto.a.24669. https://doi.org/10.1002/cyto.a.24669

Szalóki G, Goda K. Compensation in multicolor flow cytometryCytometry A. 2015;87(11):982-985. https://doi.org/10.1002/cyto.a.22736

Nolan JP. The evolution of spectral flow cytometryCytometry A. 2022;101(10):812-817. https://doi.org/10.1002/cyto.a.24566

Novo D, Grégori G, Rajwa B. Generalized unmixing model for multispectral flow cytometry utilizing nonsquare compensation matricesCytometry A. 2013;83(5):508-520. https://doi.org/10.1002/cyto.a.22272

 


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