The aim of the automated neutralizing antibody test is to detect a SARS-CoV-2 neutralizing antibody without cross-reaction with other infection. The resulting data will then be used both by the person being tested and by researchers to better understand immunity from vaccination or infection. The data will also inform local policymakers’ decisions on how to minimize the risk of further infection.
“This project is a clear example of how robotics can increase speed and efficiency, while making work safer for the researchers involved,” said Daniel Navarro, managing director of consumer segments and service robotics at ABB. “Working closely with UTMB, we are combining our expertise on biology, lab process, automation and software to develop and deploy an automated robotic solution that significantly advances and informs our response to the COVID pandemic."
The automated neutralizing antibody test was developed using the RobotStudio offline programming software to model, iterate and test different combinations of lab equipment and robot positions to develop the working concept. As a result of this process, a working system was produced from inception into operation within 18 months.
“What we managed to achieve in this project within such a short space of time is extraordinary—many multimillion-dollar companies take several years to create solutions like the one we’ve developed in a fraction of the time,” said Juan Garcia, director of Laboratory Services at UTMB.
Laposata added: “None of what we’ve achieved could have been done without ABB or any of the other parties involved in this project. From the creation and simulation of a working concept in RobotStudio software through to delivering the physical automated testing cells that are now in use in our laboratory, this is the greatest experience of teamwork I have witnessed in 35 years in this business.”