ARQ learns your SOP so your scientists can spend less time managing processing details and reviewing non-relevant data. Unleash the potential of your team by extending knowledge across the entire laboratory workforce.

Better Science.
Beyond Vision.

The heart of ARQ is its curve processor: if the curves are correct, the rest of the identification (and quantification) process is straightforward. ARQ takes a highly sophisticated approach to curve processing, a way of working with data, that reflects what is really going on in the system, versus just what can be seen in an amplification plot. This is the power of software automation.

Consistent, reproducible results across all users.

If you think about most of the data review operations that are done on PCR analytical data (and as well, most of the time required), they boil down to one key issue: real-world PCR is complex, and oftentimes, conventional data systems simply cannot determine the appropriate curve. This means that ultimately, you become a plate inspector, trying to visually sift through large volumes of wells, targets, and curves. It’s challenging for everyone in your laboratory to be consistently and reproducibly good at it, all of the time – which is essential, especially when working with molecular diagnostic samples.

If you consider the COVID-19 pandemic and the process improvements that were established by automating many of the manual steps, do you recall what the next bottleneck was? For many labs it was the review process, manually reviewing plots and result files was time and resource consuming and often caused a delay in result reporting. Bringing new members of staff up to speed on the review tasks took more experienced scientists away from critical work. The key to consistent reproducible results lies with release automation systems such as ARQ that capture all the expertise of the lab and allow every reviewer to function as if they had the same level of knowledge.

Reduce the burden of manual review and achieve more accurate processing.

DSI, or Dynamic Sigmoid Interrogation, is a data point processing approach which recognizes that each individual data point is a statistical measurement. DSI evaluates the signal for each of those data points, optimizing the application of smoothing and sigmoid fitting in a manner which is statistically appropriate for each individual measurement. This ensures that the curve detection process which follows is performed on a foundation of solid statistical data.

DSI works beyond the limits of human and data system visualization, to present the true reporter signal, in a way that dramatically reduces the technical and regulatory burden of manual review. DSI and the sigmoid modeling approach, has been tested and scientifically proven to be a more accurate and consistent manner of curve processing. It removes problematic variation that can exist between reviewers, standardizing curve processing and optimizing performance.

Learn how ARQ can transform your laboratory.

Smarter processing leads to faster reviewing. Learn more.