New Technology That Automates Blood Smears to Help Labs Accurately Diagnose Bloodborne Diseases

The device developed by researchers from Cambridge University (Cambridge, England), Bath University (Bath, UK), and the Ifakara Health Institute (Ifakara, Tanzania) removes one of the biggest bottlenecks preventing quick, reliable malaria diagnosis

One of the key steps in diagnosing or treating many bloodborne diseases is to perform a blood smear, where a drop of blood is spread across a microscope slide for analysis. It is critical the technician collecting the sample perform this smear correctly and consistently, but mistakes at this stage are easy to make and often result in useless samples. The researchers' primary focus is on diagnosis of malaria, a deadly disease that kills more than 400,000 people every year. Malaria is best diagnosed by analyzing blood smears through a microscope. While performing research for a previous study, they noticed many of these testing smears were of poor quality.

Their solution, the autohaem devices, solves this problem by automating the smearing process so every smear is correct and consistent. The devices come in two varieties, the autohaem smear and the autohaem smear+, the latter of which is fully automated with a motorized smearing mechanism. In tests, inexperienced technicians were able to use the device to produce expert-quality smears.

A key goal of the project was to make the autohaem devices accessible to as many people as possible. The researchers designed their devices to be easy to build, using readily available or 3D-printed components. Furthermore, all software and hardware are open-source and freely available. The next step for the researchers is to test out their design in real-world conditions.

"Creating blood smears is a laborious, repetitive task that requires an expert level of skill and manual dexterity," said researcher Samuel McDermott. "By using automated blood smearing machines, such as autohaem devices, technicians will be able to increase their throughput while maintaining a high enough quality for diagnosis."

Related Links:
Cambridge University 
Bath University 
Ifakara Health Institute