Cell Detection Workflows

NeuroQP supports two main cell detection workflows.

Shared Cell Detection marker

In cell counting and classification projects, one staining provides the shared detected cell population.

DAPI is the common source, but another nuclei marker such as NeuN can be used when appropriate.

Other marker stainings are classified against those detected cells.

This creates a shared denominator for metrics like % ON.

In independent-detection projects, each marker staining runs its own detection workflow.

This is useful when marker-positive cells should be found directly from the marker image and there is no shared nuclei-source denominator.

Each marker has its own:

The workflows produce different metric semantics.

Shared detection supports total cells, ON cells, OFF cells, and % ON.

Independent detection supports accepted marker-positive cells and marker-positive density. OFF means rejected candidate, not marker-negative cell.