Experimental capabilities

HIGH-CONTENT IMAGING

Cell counting

Which cell populations respond to a compound?

A total cell count can hide differences between populations. High-content microscopy separates labelled populations within the same culture and measures how their cell numbers change with treatment.

EXPERIMENTAL DATA

Three fluorescence microscopy panels: combined A+ and B+ populations, A+ cells in green, and B+ cells in red, with nuclear staining.Distinguish populations in a shared culture.
Fluorescence images from a co-culture experiment. The combined image and separate marker channels distinguish the A+ and B+ populations; nuclear staining supports cell identification and counting.
Experimental concentration-response plot of relative cell counts: the marker A+ population decreases at lower compound concentrations than the marker B+ population.Compare concentration-dependent responses.
Inventro experimental data. Two co-cultured populations were exposed to increasing compound concentrations. Automated image analysis produced cell counts normalised to vehicle control, showing different response profiles for marker A+ and marker B+ cells.

The method

  1. Treat

    Expose mono-cultures or co-cultures to a concentration series alongside vehicle and reference controls.

  2. Identify

    Label nuclei and, where required, use population-specific markers or live/dead stains. Acquire images with automated microscopy.

  3. Quantify

    Segment cells, assign marker-defined populations and compare counts across conditions. Normalise concentration-response profiles to the relevant controls.

Reading the results

Total and population-specific cell counts, relative responses and concentration-response curves. Viability readouts can be added with an appropriate live/dead stain.

Interpretation

Fewer cells can reflect reduced proliferation, cell death or both. Cell counts alone do not distinguish these mechanisms; complementary proliferation and cell-death measurements help resolve them.

Study design

Cell model, population markers, treatment duration and image-analysis settings are selected for the study. The example illustrates a measured response in one co-culture, not selectivity across all biological models.

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