Home Cell Biology Choosing Proper Flow Cytometry Controls
Steps
  1. 1 Understand multicolor flow cytometry control requirements 00:05
  2. 2 Prepare single stain controls for compensation 00:44
  3. 3 Apply fluorescence minus one controls 01:38
  4. 4 Use biological controls to detect non-specific binding 03:10
  5. 5 Select optimal controls for assay development 04:28
Cell Biology BD Biosciences

Choosing Proper Flow Cytometry Controls

Protocol
Difficulty
intermediate

Steps

1
Understand multicolor flow cytometry control requirements

Learn why multiple control types are necessary for accurate multicolor flow cytometry data interpretation, especially for dimly positive cells and avoiding misinterpretation of background signals.

▶ 00:05
2
Prepare single stain controls for compensation

Run individual antibody stains for each marker in the panel to calculate compensation and correct spillover signal from one fluorophore into another detector, avoiding false positive population identification.

▶ 00:44
3
Apply fluorescence minus one controls

Prepare FMO controls containing all antibodies except the marker of interest to account for background spread introduced by other fluorochromes and accurately set gates for positive populations.

▶ 01:38
4
Use biological controls to detect non-specific binding

Employ negative biological controls (unstimulated cells) and positive biological controls (stimulated cells with mitogens) to account for antibody-specific background noise that FMO controls cannot capture.

▶ 03:10
5
Select optimal controls for assay development

Run multiple control types during assay development to identify the main source of background in your specific experimental conditions and determine the best strategy to account for it.

▶ 04:28

🚨 Failure Case Library (3) + Submit your own case

severe
High Background Signal from Autofluorescent Cell Types
Elevated background fluorescence intensity across multiple channels, particularly affecting green (FITC) and orange (PE) channels. Difficult to distinguish specific antibody staining from background noise.
💡 5 · ✓ 5
severe
Autofluorescence Interfering with Viability Dye Detection
Dead cell discrimination becomes unreliable as autofluorescence overlaps with viability dye emission spectra. False positive or false negative viability calls occur, particularly with green or orange viability dyes.
💡 4 · ✓ 5
moderate
Autofluorescence Complicating Cell Population Gating Strategy
Difficult to establish clear gates between positive and negative populations. Autofluorescent cells appear in unexpected regions of scatter plots, creating ambiguous boundaries and potential misidentification of cell populations.
💡 4 · ✓ 5
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