Multicolor Immunophenotyping Applications: High-Parameter Panels in Practice

Introduction

This page is part of Bio-Rad's Flow Cytometry Applications content, which covers the full range of ways flow cytometry is used in research and diagnostics—from immunophenotyping to exosome detection, stem cell analysis, and beyond. Here, we focus specifically on multicolor immunophenotyping in practice—real-world use cases, a worked high-parameter panel example, and the tools used to design one.

New to immunophenotyping, or looking for panel design fundamentals, marker tables, and basic gating?

Start with the Flow Cytometry Immunophenotyping guide chapter; this page picks up from there.


Why Researchers Are Moving Toward High-Parameter Immunophenotyping

Traditional flow cytometry experiments often focus on a limited number of cellular markers. However, immune systems are highly complex and consist of numerous interacting cell populations that may differ only subtly in marker expression.

High-parameter immunophenotyping enables researchers to:

  • Characterize more immune populations simultaneously
  • Identify rare or previously hidden subpopulations
  • Reduce sample consumption
  • Minimize experimental variation between panels
  • Improve understanding of cellular heterogeneity
  • Generate more comprehensive immune profiles

These capabilities have become increasingly important in immuno-oncology, translational medicine, vaccine development, and systems immunology.


Real-World Applications of Immunophenotyping

Immunophenotyping by flow cytometry is used well beyond basic immune subset counting. The same core technique—staining cells with fluorophore-conjugated antibodies against surface or intracellular markers and analyzing them by flow cytometry—underpins work across several distinct fields, each with its own panel design priorities.

Immunology research

Profiling immune cell subsets and activation states to study immune cell development, differentiation, function, and response.

Cancer research and diagnostics

Identifying and monitoring malignant leukocyte populations and tumor-infiltrating immune cells, including checkpoint inhibitor response, immune exhaustion profiling, and monitoring CAR T-cell therapy efficacy. 

Infectious disease and vaccine research

Assessing immune responses to infection and vaccination, including identification of protective immune signatures and monitoring of memory populations.

Stem cell biology

Characterizing stem and progenitor cell populations, monitoring lineage commitment, and evaluating differentiation—including posttransplant immune reconstitution. 

Rheumatology

Investigating immune cell involvement in autoimmune and inflammatory joint disease.

Clinical diagnostics

Supporting diagnosis of immunological dysfunction, including HIV monitoring via CD4/CD8 T cell counts.


Case Study: A 27-Color Immunophenotyping Panel

To show what a high-parameter panel looks like in practice, the example below uses StarBright™ Dyes across 27 parameters on red-blood-cell-lysed peripheral blood, resolving lymphocyte, T-cell, B-cell, NK-cell, monocyte, and granulocyte populations from a single tube. 

Table 1. 27-color immunophenotyping panel: targets, dyes, and product codes.

 

Target

ZE5 Cell Analyzer Target Laser: Filter

Fluorophore

Antibody Catalog Number*

HLA DP DQ DR

355: 387/11

SBUV400

MCA477SBUV400

CD20

355: 509/24

SBUV510

MCA1710SBUV510

CD33

355: 577/15

SBUV575

MCA1271SBUV575

Live/dead

355: 615/24

PI

1351101

CD163

355: 670/30

SBUV665

MCA1853SBUV665

CD28

355: 747/33

SBUV740

MCA709SBUV740

CD62L

355: 780LP

SBUV795

MCA1076SBUV795

CD56

405: 420/10

BV421

BioLegend, 318327

CD24

405: 460/22

SBV440

MCA1379SBV440

CD45RA

405: 525/50

SBV515

MCA88SBV515

CD45RO

405: 615/24

SBV610

MCA461SBV610

CD40

405: 670/30

SBV670

MCA1590SBV670

CD2

405: 720/50

SBV710

MCA1194SBV710

CD14

405: 750LP

SBV790

MCA1568SBV790

CD57

488: 525/35

FITC

MCA1305F

CD3

488: 593/52

SBB580

MCA463SBB580

CD11b

488: 692/80

SBB700

MCA551SBB700

HLA ABC

488: 750LP

SBB810

MCA81SBB810

CD10

561: 583/30

SBY575

MCA1556SBY575

CD4

561: 615/24

SBY605

MCA1267SBY605

CD45

561: 670/30

SBY665

MCA87SBY665

CD27

561: 720/60

SBY720

MCA755SBY720

CD38

561: 750/LP

SBY800

MCA1019SBY800

CD16

640: 670/30

A647

MCA5665A647

CD31

640: 720/60

A700

MCA1738A700

CD19

640: 775/50

SBR775

MCA1940SBR775

CD8

640: 800LP

SBR815

MCA1226SBR815

Initial Plots

Fig. 1. 27-color multiplex panel. Red blood cell lysed human peripheral blood was stained with a live/dead dye (propidium iodide, (PI)) and a 26-color antibody panel in FACS Buffer, enabling identification of multiple cell lineages and subsets.

Fig. 1. 27-color multiplex panel. Red blood cell lysed human peripheral blood was stained with a live/dead dye (propidium iodide, (PI)) and a 26-color antibody panel in FACS Buffer, enabling identification of multiple cell lineages and subsets.


Full Gating Strategy

Each step below narrows the population from whole leukocytes down to a specific immune subset, using the 27-color panel detailed above.

  1. Lymphocytes—gated from whole leukocytes on the basis of forward and side scatter to exclude debris, doublets, and granulocytes/monocytes at this stage.
  2. CD3+ T cells—gated from the lymphocyte population using CD3 expression to separate T cells from B cells and NK cells.
  3. Cytotoxic and T helper cells—CD3+ T cells further resolved into CD8+ cytotoxic T cells and CD4+ T helper cells.
  4. B cells and NK cells—the CD3-negative lymphocyte fraction resolved using CD19 (B cells) and CD16/CD56 (NK cells).
  5. NKT cells—identified from the CD3+ population co-expressing NK markers, distinguishing them from conventional T cells and NK cells.
  6. Monocytes—identified from the non-lymphocyte fraction using CD14 expression and characteristic scatter properties.
  7. Granulocytes—resolved using high side-scatter signal and characteristic scatter properties distinguishing them from monocytes.

Lymphocytes

Two flow cytometry dot plots showing sequential gating of lymphocytes into major subsets. The left plot shows HLA ABC SBB810 versus CD3 SBB580, with gates identifying a B and NK cell population and a CD3+ population; an arrow labeled CD3+ leads to the right plot. The right plot shows CD14 SBV790 versus CD2 SBV710, with a single gate identifying T cells.

CD3+ T Cells

A grid of seven flow cytometry dot plots in two rows showing CD4 and CD8 T cell subset analysis. Top row: CD4 SBY605 versus CD57 FITC with a gate labeled CD4+ Effector Memory; CD8 SBR615 versus CD57 FITC with a gate labeled CD8+ Effector Memory; and CD4 SBY605 versus CD62L SBUV795. Bottom row: CD4 SBY605 versus HLA DP DQ DR SBUV400; CD8 SBR815 versus HLA DP DQ DR SBUV400; CD8 SBR815 versus CD4 SBY605 with gates labeled CD8+ and CD4+; and CD8 SBR815 versus CD62L SBUV795.

Cytotoxic and T Helper Cells

A grid of five flow cytometry dot plots in two labeled sections. Cytotoxic T-cells (top row): CD45RA SBV515 versus CD45RO SBV610 with gates labeled Naive and Memory; CD45RA SBV515 versus CD27 SBY720 with quadrants labeled EMRA, Naive, EM, and CM; and CD27 SBY720 versus CD28 SBUV740. T helper cells (bottom row): CD45RA SBV515 versus CD45RO SBV610 with gates labeled Naive and Memory; and CD45RA SBV515 versus CD27 SBY720 with quadrants labeled EMRA, Naive, EM, and CM.

B and NK Cells

Five flow cytometry dot plots showing B cell and NK cell gating strategy, connected by red arrows. Top row: CD20 SBUV510 versus CD19 SBR775 with a gate labeled B cells, arrow to CD40 SBV670 versus CD24 SBV440 with a gate, arrow to CD40 SBV670 versus CD10 SBY575 with gates labeled CD10- and CD10+. From the CD10 plot, an arrow leads down to CD24 SBV440 versus CD38 SBY800 with a gate labeled B regs. From the B cells plot, a second arrow leads down to CD56 BV421 versus CD16 A647, labeled NK cells, with gates labeled CD56 bright, CD56+ CD16+, and CD56+ CD16-.

NKT Cells

Three flow cytometry dot plots showing NKT cell gating strategy. CD4 SBY605 versus CD56 BV421 with a gate labeled CD4 NKT cells; CD8 SBR815 versus CD56 BV421 with a gate labeled CD8 NKT cells, connected by a red arrow to CD8 SBR815 versus CD57 FITC with a gate labeled Mature CD8 NKT cells.

Monocytes

Four flow cytometry dot plots showing monocyte gating strategy, connected by red arrows. Top row: CD14 SBV790 versus HLA ABC SBB810 with a gate, arrow to CD3 SBB580 versus CD11b SBB700 with a gate. From the CD11b plot, one arrow leads down-left to CD14 SBV790 versus CD163 SBUV665 with a gate, and another arrow leads down to CD14 SBV790 versus CD16 A647 with gates labeled Classical, Intermediate, and Non-Classical.

Granulocytes

Three flow cytometry dot plots showing granulocyte gating strategy. Center plot: CD14 SBV790 versus CD16 A647 with two gates, one connected by a red arrow left to HLA DP DQ DR SBUV400 versus CD33 SBUV575 with a gate labeled Eosinophils, and the other connected by a red arrow right to CD11b SBB700 versus CD33 SBUV575 with a gate labeled Neutrophils.

Fig. 2. Full gating strategy of the 27-color multiplex panel. Red blood cell lysed human peripheral blood was stained with PI and a 26-color antibody panel (Table 1) for the identification of multiple cell lineages and subsets.


Speed Without Sacrificing Data Quality

High-parameter panels are only practical at scale if acquisition keeps pace. On the ZE5 Cell Analyzer, a full 96-well plate can be processed in under 15 minutes while still collecting 100,000 events per well.

The ZE5 Cell Analyzer was designed to support demanding multiparametric applications through:

Product photograph of the Bio-Rad ZE5 Cell Analyzer against a dark background. The instrument has a white body with the Bio-Rad logo on top, a green front panel, and an open sample compartment door revealing a plate illuminated in green light inside.
  • Up to five lasers
  • Detection of up to 30 parameters (this page's example panel uses 27)
  • Flexible optical configurations
  • Automated quality control
  • Automated 96-well plate acquisition

To demonstrate this speed advantage, we repeated the 27-color panel shown above using high-throughput mode for sample acquisition.

The data shows a high level of reproducibility between high-throughput runs and are consistent with standard mode runs.

While data quality was preserved, the run time for each well was reduced from 3 minutes 21 seconds in standard mode, to 8 seconds in high-throughput mode.

A grouped bar chart comparing High Throughput (blue) and Standard (yellow) acquisition modes across 27 immune cell populations, with % Parent Population (0-100) on the y-axis. Categories on the x-axis include T cells, CD8+ T cells, CD8+ Naive, CD8+ memory, CD8+ EMRA, CD8+ CM, CD8+ EM, CD4+ T cells, CD4+ Naive, CD4+ memory, CD4+ EMRA, CD4+ CM, CD4+ EM, CD4+ NK, CD8+ NK, CD57+ T cells, B cells, B regs, NK cells, CD56+16- NK, CD56bright NK, Class mono, Non class mono, Inter mono, Eosinophils, Neutrophils, and Apoptotic. The two bars in each category are closely matched, showing similar population percentages between acquisition modes.

Fig. 3. Example 27-color panel comparison of standard and high-throughput data acquisition. This example shows six replicates of the 27-color panel data shown previously, a single sample was collected in high throughput (n=4) and standard mode (n=2). Each standard mode replicate was collected in 3 minutes and 21 seconds, while each high throughput mode replicate was collected in 8 seconds. 

Table 2. ZE5 Cell Analyzer: Standard vs. high-throughput acquisition.

Acquisition Mode Time per Well Data Quality
Standard mode 3 min 21 sec Baseline resolution and population structure
High-throughput mode 8 sec Resolution and population structure preserved vs. standard mode

Want Help Designing a High-Parameter Immunophenotyping Panel for Your Instrument? 

Talk to a Specialist


Tools to Design Your Own Panel

For guidance on the underlying design principles—fluorophore brightness, marker co-expression, and control selection—see the guide's Multicolor Panel Design Considerations section.


StarBright Dye Panel Posters

Thumbnail of a scientific poster titled Expanding the Size of Multicolor Panels with Ease with New StarBright Blue and StarBright Yellow Dyes. The poster includes a green Bio-Rad-branded header, several data tables listing dye and antibody panel details, a row of flow cytometry dot plots, and bar charts comparing panel performance, with body text organized in columns beneath.StarBright Dyes: Excitable by the Blue & Yellow Lasers

11-color panels introducing StarBright Blue and StarBright Yellow Dyes on the ZE5 Cell Analyzer.

Download PDF

 

Thumbnail of a scientific poster titled StarBright Dyes: Build Bigger, Better Panels with Superior Dyes Excitable by the Ultraviolet, Violet, Blue, and Yellow Lasers. The poster includes a green Bio-Rad-branded header, a spectral excitation/emission overlay chart in multiple colors on the lower left, a grid of flow cytometry dot plots and gating diagrams in the upper right, and body text organized in columns with data tables throughout.StarBright Dyes: Excitable by the UltraViolet, Violet, Blue & Yellow Lasers

23-color panel built using only antibodies from Bio-Rad and the ZE5 Cell Analyzer.

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Thumbnail of a scientific poster titled StarBright Dyes: Build Bigger Better Panels with Superior Violet and Ultraviolet Laser Excitable Dyes. The poster includes a green Bio-Rad-branded header, an introduction section on the left, two side-by-side columns comparing data (appearing to show a time-point comparison, such as Day 0 versus Day 7), data tables, bar charts, and a row of flow cytometry dot plots, with body text organized beneath.StarBright Dyes: Excitable by Violet & Ultraviolet Lasers

Poster comparing the stain index of StarBright Dyes to dyes from other vendors, and the effect of pre-mixing antibody cocktails containing StarBright Violet and UltraViolet Dyes compared to freshly made up cocktails.

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Thumbnail of a scientific poster titled StarBright Dyes and the ZE5 Cell Analyzer: Generating Fast, Reproducible, High Resolution Flow Cytometry Data. The poster includes a green Bio-Rad-branded header, an image of the ZE5 Cell Analyzer instrument, a grid of flow cytometry dot plots and gating diagrams, data tables, and bar charts, with body text organized in columns throughout.

Same approach as the others ??? the on-poster title matches the page's existing caption for this poster, so title and alt line up with what's already published.StarBright Dyes & the ZE5 Cell Analyzer: Generating Fast, Reproducible, High Resolution Flow Cytometry Data

27-color panel built using StarBright Ultraviolet, Violet, Blue, Yellow, and Red Dyes and assayed using the ZE5 Cell Analyzer. This poster demonstrates the stability of premixed StarBright Dyes over 6 months and the excellent data reproducibility achieved when performing complex immunophenotyping at high speed

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Further Reading: Applied Panels


Frequently Asked Questions

Is flow cytometry the only method used for immunophenotyping?

No. Flow cytometry is the most widely used technique because it measures many markers per cell, at single-cell resolution, at high speed—which is why the rest of this page focuses on it—but immunophenotyping can also be performed by microscopy-based imaging or by single-cell RNA sequencing, which classifies cells by gene expression rather than by surface or intracellular protein markers. Each approach trades off differently on throughput, resolution, and the type of data produced, and flow cytometry remains the standard choice when speed and multiplexed protein-level detection matter most.

How many colors can a modern flow cytometry immunophenotyping panel include?

Panels of 20 or more colors are achievable on suitable instruments—this page walks through a worked 27-color example. For guidance on typical panel sizes and when each is appropriate, see the panel size overview in the Immunophenotyping guide chapter.

How fast can a high-parameter immunophenotyping panel be acquired?

On the ZE5 Cell Analyzer, a 27-color panel across a full 96-well plate can be acquired in under 15 minutes in high-throughput mode (as fast as 8 seconds per well), while preserving the resolution and population structure seen in standard-mode acquisition.

What do I need to design a 20+ color immunophenotyping panel?

Start with the fluorophore compatibility and marker expression considerations covered in the Immunophenotyping guide chapter, then use the Spectraviewer to check spectral overlap and Panel Builder to design against your specific instrument configuration. Bio-Rad's Custom Free Flow Cytometry Panel Building Service is also available for hands-on design support.

Is spectral flow cytometry the same as high-parameter immunophenotyping?

Not exactly. High-parameter panels can be run on either conventional or spectral cytometers; spectral instruments use full-spectrum detection rather than discrete filters, which can further improve resolution of highly overlapping dyes in very large panels.


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