---
title: A high-throughput PCR testing workflow for molecular diagnostics
description: Download the application note to learn how to scale your PCR diagnostic testing to high-throughput up to 35,000 patient samples per day on a single automated platform.
---

# Scale your PCR diagnostic testing to high-throughput

### An automated workflow to enable COVID-19 mass testing at population scale

## ![IQ-FastFinder-app-note_400x425](https://info.biosearchtech.com/hs-fs/hubfs/Imported%20images/IQ-FastFinder-app-note_400x425.png?width=285&name=IQ-FastFinder-app-note_400x425.png)

#### Automation redefines lab efficiency and confidence in results

In this application note, we examine how high-throughput PCR result calling and analysis is enabled by artificial intelligence (AI) and automation. LGC, Biosearch Technologies’ SARS-CoV-2 Real-Time and End-Point RT-PCR Test coupled with UgenTec’s FastFinder software yield traceable and scalable data analytics and reporting, which is now authorized for emergency use.

Learn how this PCR-based testing platform introduces novel efficiencies such as:

- Elimination of manual interactions to remove human error and manipulation.
- Requiring human expert review only when warranted with exceptions.
- Full traceability of samples across all plates and instruments to pull up its status at any given time.
- Ready-to-deploy, pre-configured workflows enable fast deployment, minimize the time across installation, validation and go-live, incorporate data analysis and reporting features, and offer multiplexing capabilities.

**Case study included: UC Davis mobilizes to conduct COVID-19 mass testing**

![richard-michelmore](https://info.biosearchtech.com/hs-fs/hubfs/Imported%20images/richard-michelmore.png?width=175&name=richard-michelmore.png)“The goal is to provide at least weekly testing combined with more frequent strategic testing. This **requires rapid data analysis **software that minimizes the time needed to accurately call, certify, and return results.”   
- Professor Richard W. Michelmore, PhD, University of California, Davis