Training Device Improves Accuracy of Pooled Molecular Diagnostics

High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test costs and raise throughput, yet it is prone to transfer errors, cross‑contamination, and documentation lapses that compromise results. At the same time, shortages of trained personnel limit access to advanced testing in decentralized and mobile settings. A new study describes an interactive device that helps novices perform pooled nucleic acid amplification tests (NAATs) with high accuracy.

In work published in PNAS Nexus, researchers developed a “train‑and‑assist” device designed to upskill laboratory‑inexperienced users for sample pooling workflows. The system monitors a user’s progress through each step of pooling equal volumes from multiple specimens for NAATs that detect diverse infectious pathogens. It is presented as a way to expand reliable pooling beyond settings that have automated liquid handlers or specialized staff.

The device provides step‑by‑step guidance, tracks progress, and weighs each sample tube precisely to verify transfers. It delivers real‑time feedback when too much or too little sample is added and helps users correct mistakes that are still fixable. When an error is deemed uncorrectable, the system instructs the user to terminate the process. Built for broad accessibility, the apparatus uses low‑cost, off‑the‑shelf electronics, 3D‑printed modules, and open‑source systems, with a total estimated cost of about $600 per unit.

Performance was evaluated in a study of 48 participants, 37 of whom had little or no previous laboratory experience. Compared with paper instructions, the device enabled users to pool mock clinical samples with high accuracy, reduced uncorrected handling errors, improved volume‑transfer technique, and produced high‑quality pools. The authors indicate these gains were achieved while guiding novices through a standard pooling protocol.

According to the authors, such tools could make pooled NAATs logistically and financially feasible for large‑scale surveillance programs, including those that must estimate low disease prevalence and inform decisions about when mass drug administration can be stopped. The study was published in PNAS Nexus on July 7, 2026, under the title “A train‑and‑assist device that upskills novices to strengthen the workforce and expand diagnostic access.”