Skip to main content
v2026.11,858 entries · CC-BY 4.0

Direct comparison

Imaging vs Conventional Flow Cytometry

Imaging flow cytometry adds real cell images for internalization, colocalization, morphology — at a real throughput and analysis cost vs conventional flow.

Written and maintained by CASRAI Editorial Board

Last updated

Ask CASRAI · free to try

Ask about Imaging vs Conventional Flow Cytometry

Ask your first 2 questions free below. Subscribers get 150 a day for $29 a month.

Ask CASRAI answers research-administration questions and cites the passages behind every claim. When our sources don't cover a question, it says so.

Answers draw on CASRAI's guides and dictionary plus the federal and funder documents we index: Federal Register, Grants.gov, Regulations.gov and UKRI.

Works on this site and inside Claude, Cursor and the AI tools you already use.

Everything CASRAI publishes — this page, the dictionary, the guides and the news — stays free to read, with no account and no card.

How do Imaging flow cytometry, Conventional flow cytometry compare side by side?

The table below compares Imaging flow cytometry, Conventional flow cytometry across 8 procurement-relevant dimensions, from what it captures per cell through best suited for.

Side-by-side comparison

DimensionImaging flow cytometryConventional flow cytometry
What it captures per cellFull intensity parameters plus a real multi-channel image (brightfield, darkfield, fluorescence)Intensity values only (scatter + fluorescence channels), no image
Spatial informationYes — signal location within/on the cell is directly measurableNo — a surface and an internalized signal of equal intensity are indistinguishable
Typical throughputLow thousands of events/sec or fewer — roughly 1-2 orders of magnitude slowerTens of thousands of events/sec on a standard bench analyzer
Data file sizeMuch larger — full image stack stored per eventSmall — a few dozen numeric values per event
Analysis workflowRequires image-analysis/masking step to derive features before gatingDirect gating on recorded intensity values
Cell sortingAnalysis only on classical instruments; real-time image-informed sorting exists only on newer, less widely deployed systemsStandard, mature capability on cell sorters
Instrument costMaterially higher; typically a shared core-facility instrumentLower; common in individual labs as well as core facilities
Best suited forInternalization, colocalization, nuclear translocation, morphology-based classification, visual doublet/debris confirmationPopulation frequency, immunophenotyping, marker co-expression, high-parameter panels without a spatial question

Common questions

Common questions about Imaging flow cytometry vs Conventional flow cytometry

Can imaging flow cytometry replace conventional flow cytometry?

+

No — they answer different questions. Imaging cytometry adds spatial information at a real throughput and cost penalty; for population-frequency and immunophenotyping work, conventional (or spectral) flow cytometry remains faster, cheaper, and simpler. Most facilities that have both keep the imaging instrument reserved for experiments that genuinely need spatial resolution.

Does an imaging flow cytometer sort cells?

+

Classical imaging flow cytometers are analyzers only — imaging is not compatible with the timing a conventional droplet cell sorter uses. A newer category of instrument combines spectral flow cytometry with real-time image capture to add sort capability, but these are newer and less widely deployed; confirm sort capability directly with a vendor or core facility rather than assuming it.

What software do you need to analyze imaging flow cytometry data?

+

Dedicated image-analysis software, separate from standard FCS-file gating tools, is needed to build per-cell masks and compute derived features (internalization score, similarity/colocalization score, shape features) from the image before those features can be gated on.

Referenced across the research world

University of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logoUniversity of Cambridge logoColumbia University logoCrossref logoUniversity of Edinburgh logoHarvard University logoUniversity of Oxford logoPrinceton University logoStanford School of Medicine logoUniversity College London logoORCID logo
  • University of Cambridge logo
  • Columbia University logo
  • Crossref logo
  • University of Edinburgh logo
  • Harvard University logo
  • University of Oxford logo
  • Princeton University logo
  • Stanford School of Medicine logo
  • University College London logo
  • ORCID logo

View CASRAI adoption →