(Rated 4.9 out of 5 based on 10 customer reviews)

A guide to gating in flow cytometry

Dec 16, 2016

Build multicolor flow cytometry panels in just a few simple steps Build multicolor flow cytometry panels in just a few simple steps

Flow cytometry analysis typically begins with creating gates to distinguish cells of interest. This process of gating can appear quite random to a flow cytometry novice but it is in fact the most important part of flow cytometry analysis.

So what gating methods do you need to know to confidently analyze your stained samples? This blog post will take you through the various gating strategies for effective flow cytometry analysis.

Learn as much as possible about your cells of interest

Your gating strategy is informed by what you know about your cells of interest. Therefore, before you begin your analysis, it is important to first find out as much as possible about the cells you are analyzing. Things to determine are the relative expression levels of cell specific markers, the approximate size of the cells, and whether their size can be affected by experimental conditions. For example, the fixation and permeabilization processes during intracellular staining can alter cell size and granularity, resulting in modified forward and side scatter profiles (discussed below). If you have no prior experience with your cells of interest, it is important to check the literature as a guide. Before beginning, you should also ensure that you include proper controls for accurate data analysis. Our recent webinar on flow cytometry controls provides information on what controls to include in your experiment.

Forward and side scatter density plots for identifying your cell population of interest and excluding debris

Forward versus side scatter (FSC vs SSC) gating is commonly used to identify cells of interest based on size and granularity (complexity). It is often suggested that forward scatter indicates cell size whereas side scatter relates to the complexity or granularity of the cell. However, it should be noted that forward scatter does not necessarily relate to size and side scatter is not really granularity. While these are an indication based on light refraction, it depends on the sample, the sheath fluid and the laser wavelength. For example, FSC vs SSC gating is most useful for blood samples but even then, granulocytes (12-17 μm) can sometimes appear larger than monocytes (20-25 μm). Furthermore, for small samples, the level of light scatter does not always correlate with size.

Despite these caveats, in samples with multiple cell types, this first level gating method is useful for identifying the cells of interest. Figure 1 shows how FSC vs SSC gating can be used to identify the distinct cell types in red cell lysed whole blood.

This gating strategy can also be used to exclude debris as they tend to have lower forward scatter levels. They are often found at the bottom left corner of the FSC vs SSC density plot (Figure 2).

When gating, bear in mind that blasting cells may be larger than resting cells; therefore, tight gates may mean you are missing a population that is important to your experiment. In this case using a viability dye to remove debris and dead cells may be useful, as would backgating (discussed below), to identify cells that fall outside of the gates. Also, for some samples such as blood or bone marrow, gating on SSC vs CD45 or other markers might help identify the cells you need.

Essentially, it is important to play around with the data and check everything, as your cells may not be where you think they are.

flow cytometry gating for debris exclusion
Fig. 1. Forward and side scatter plot of red cell lysed whole blood
flow cytometry gating for debris exclusion
Fig. 2. Forward and side scatter plot for excluding debris

Forward scatter height versus forward scatter area density plot for doublet exclusion

Doublet cells can significantly affect your analysis and could lead to inaccurate conclusions. A forward scatter height (FSC-H) vs. forward scatter area (FSC-A) density plot can be used to exclude doublets as shown in Figure 3 below. A side scatter height (SSC-H) vs side scatter area (SSC-A) plot can also be used. This type of gating can be more sensitive for doublet exclusion as the FSC detector is not usually a photomultiplier tube (PMT).

flow cytometry two parameter plot
Fig. 3. FSC-H vs FSC-A plot for doublet

Single parameter histograms for identifying cells with a particular marker expression

Single parameter histograms can be used to further identify distinct cell types that express a particular marker in a specific population of cells. For example, after gating for lymphocytes on red cell lysed whole blood (Figure 1), a CD3 single parameter histogram can be generated to identify CD3 expressing cells (Figure 4). In addition, this type of plot can also be used to easily exclude dead cells. If cells are stained with a viability dye such as propidium iodide or 7-AAD, a single parameter histogram can be used to identify dead cells which would be positive for the dye.

flow cytometry single parameter gating
Fig. 4. Single parameter histogram using red cell lysed whole blood previously gated on lymphocyte population

Two parameter density plots for further analysis

Two parameter density plots in which each axis represents a particular marker that your samples have been stained for can be used to further analyze your samples. For example, after gating on a lymphocyte gate on whole blood as in figure 1, a two-parameter density blot can be used to distinguish T cells and B cells by creating a plot on CD3 vs CD19 (Figure 5).

flow cytometry two parameter plot
Fig. 5. Two parameter density blot of red cell lysed whole blood stained with CD3 (MCA463A647) and CD19 (MCA1940PE)


Backgating is a common method for confirming a staining pattern or gating method. This can be useful for getting additional information to identify your cells if you are unsure of your gates, the expression levels or your cells, or whether dead cells have been included in your analysis.

Using the above gating methods, you now should be able to confidently analyze your cells and make accurate conclusions based on your flow cytometry analysis.

Learn more about gating and see a full length gating example.


Additional resources to help you master other aspects of flow cytometry include the Introduction to Flow Cytometry- Basics guide, webinar on optimizing your flow cytometry and our previous blog post discussing the 5 easy steps for successful flow cytometry results.

Access all of our flow cytometry resources and products.

Have Your Say



Shifting of cell cycle to X-axis

I did gating the phases of cell cycle, But in comparision to control, drug treated cancer cells, shifted to X-axis, so, gating of Control did not work for the other samples. Can I change the gating position without altering the gate size in each sample? Please suggest me ragarding the shift of phases to X-axis
Kamal Pandey
29/01/2018 05:25
Thank you for contacting us.
Thank you for your question. Someone from our flow cytometry team will be in touch with you via e-mail to assist you. We wish you all the best with your research.
kimberley bryon-dodd


Single parameter histograms can be used to obtain MFI
23/01/2018 18:33


Hi, I'm doing an experiment that to find human MSCs injected into mice in different organs. Because human MSCs are much bigger than mouse cells, when I used appropriate FSC/SSC gating for hMSCs, most of the mouse cells will be gated out. But if I used appropriate FSC/SSC gating for mouse cells, I'm afraid that hMSCs will be gated out. So can you please to give some advises about gating in my situation? Thank you!
15/12/2017 00:10
Happy to help
We know that this situation can be tricky. Someone from our flow cytometry team will be in touch with you via e-mail to assist you. We wish you all the best with your research.
kimberley bryon-dodd

Gating for annexinV and PI

Hi Sir,

I'm also wondering how to gate for Annexin V and PI staining. I'm analyzing cell viability, not sure if I should include the debris or not.
07/12/2017 15:29
Check out our webinar
Do not include debris, but do not have a tight gate as you may miss apoptotic/dead cells that may have an altered FSC/SSC profile compared to live cells. This topic is discussed in detail in our webinar 'dead or alive on the ZE5' https://www.bio-rad-antibodies.com/apoptosis-flow-webinar.html
kimberley bryon-dodd

Analysing results

I am fairly new to the world of FACS and just greatly appropriate some help understand why the proportion of cells of interest appear to increase after gating.

11/11/2017 14:12
Thank you for contacting us
You are homing in on your cells of interest each time you gate, therefore reducing the number of 'background' non-target cells. Your proportion of cells of interest in each plot may increase, but the number of cells and percentage in relation to total cells collected should not alter.
kimberley bryon-dodd

Gating for PI

Hello Dear Sir,
thanks for sharing your knowledge .
sir, i am facing problem in gating strategies for DNA content of germ cells.
can you kindly share with me some data for gating strategies for PI , i am doing research on male germ cells.
my email ;fahar1992@qq.com
15/08/2017 04:20
We're happy to help
Hello Fahar, We know gating in flow cytometry can be tricky. Someone from our flow cytometry team will be in touch with you via e-mail to assist you. We wish you all the best with your research.
Annalise Barnette

Want to know about gating

I am running a project, which is having the need to do flow cytometry. Its a new field to me. I have almost no idea about gating. I'm asking your suggestions and valuable comments in this particular issue. Please contact me via email or mobile.
Email: amarendra.choudhury@gmail.com
Mob. 07003017920 (India)
Dr. Amarendranath Choudhury
29/03/2017 15:19
Thanks for contacting us
Hello Dr. Choudhury, Thanks for reaching out to us. We are happy to help you with mastering gating for accurate flow cytometry results. Someone from our flow cytometry team will contact you shortly. All the best with your research!
Annalise Barnette