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Report

Quantifying intracellular Cas/RNP delivery

The missing layer in CRISPR analysis — understanding the gap between delivery and outcome.

Are you measuring delivery—or assuming it?

It is common to evaluate CRISPR experiments based on downstream outcomes—editing efficiency, phenotype, or sequencing data. But those outputs do not always reflect what is happening upstream.

Two experiments can produce very different results for the same reason: the amount of RNP that actually entered the cell.

Without measuring delivery directly, it is easy to misattribute low editing efficiency to guide design, variability to cell line behavior, or inconsistency to experimental noise—when the issue may be much simpler.

Delivery variability

In this report, we outline a method to:

  • Quantify RNP delivery across samples
  • Establish baseline delivery performance
  • Separate delivery limitations from biological effects

This is often the first step toward making CRISPR workflows more predictable. Move beyond assumptions—understand delivery efficiency, intracellular concentration, and functional editing potential with real, quantitative data.