Swann Medicine 1 article published in JoVE Immunology and Infection Efficient SARS-CoV-2 Quantitative Reverse Transcriptase PCR Saliva Diagnostic Strategy utilizing Open-Source Pipetting Robots Rachel E. Ham*1, Austin R. Smothers*1,2, Kylie L. King1, Justin M. Napolitano1, Theodore J. Swann3, Lesslie G. Pekarek4, Mark A. Blenner*1,5,6, Delphine Dean*1,2 1Center for Innovative Medical Devices and Sensors (REDDI Lab), Clemson University, 2Department of Bioengineering, Clemson University, 3Swann Medicine, 4Student Health Services, Clemson University, 5Department of Chemical & Biomolecular Engineering, Clemson University, 6Department of Chemical & Biomolecular Engineering, University of Delaware The protocol describes a SARS-CoV-2 diagnostic method that utilizes open-source automation to perform RT-qPCR molecular testing of saliva samples. This scalable approach can be applied to clinical public health surveillance as well as to increase the capacity of smaller university laboratories.