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qPCR Analysis Software Improves Molecular Diagnostics Turnaround Time

Join Today's Clinical Lab and Pallavi Upadhyay, PhD, to learn about analysis software solutions for automating lab workflows to fulfill high testing demands while mitigating staffing issues

Headshot of Pallavi Upadhyay
Pallavi Upadhyay, PhD, is an infectious disease scientist, scientific and medical writer, and consultant. As the director of scientific and clinical affairs at HealthTrackRx, she oversees the development and implementation of diagnostic assays and clinical studies.

When it comes to lab testing, large sample volumes can be accurately handled by liquid handlers for extractions and PCR, but the shortage of skilled lab staff can create a bottleneck in terms of analyzing and certifying the results.

Instead of relying on manual analysis of your quantitative PCR (qPCR) experiments, ARQ is a robust, web-based (remotely accessible), and user-friendly data analysis software for qPCR data analysis. It can integrate with a laboratory information system (LIS) to automate the reporting of results. Without compromising data accuracy and quality, ARQ can significantly reduce the time spent on data analysis, improving turnaround times.

Using analysis software to better automate lab workflows can thus help fulfill high-throughput testing demands, while mitigating staffing issues by reducing reliance on manual analysis.


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