Your PCR data is only as good as the process that analyzes it — and right now, that process is quietly holding results back.
Most scientists working with qPCR or digital PCR (dPCR) don’t think twice about thresholding curves, applying Poisson corrections, or interpreting droplet rain. These are standard steps — but they also invite hidden subjectivity into a workflow that should be precise and reproducible.
The cracks in current analysis methods
Every qPCR or dPCR workflow relies on interpretation: setting Ct thresholds, drawing standard curves, or deciding what counts as a true positive droplet. These decisions vary between users — and that variability affects results.
The outcome? Data that’s harder to reproduce, longer time to insight, and more reruns than necessary. These aren’t just minor inefficiencies — they shape how much confidence can be placed in the final readout.
A new standard: real-time, automated precision
Countable PCR eliminates the manual interpretation layer. No thresholds. No Poisson statistics. No ambiguity.
Fully automated analysis means results are consistent, unbiased, and instantly available as each sample finishes reading — not hours or days later.
And for regulated environments, where traceability matters, Countable PCR includes an ID metric — a built-in confidence score that tells you how clearly positive and negative signals are separated. It’s an audit-friendly way to validate that the system made the right calls, without any manual rechecking.
What this means for your next project
When data is immediate and trustworthy, the whole workflow accelerates. Clinical and QC teams can make faster, clearer decisions. Research teams can move from questions to conclusions without delays.
Your data deserves better than guesswork. Countable PCR gives you clarity, consistency, and speed — built in from the start.
