About Us Yu Lab at the University of Georgia

Our laboratory is located in the Paul D. Coverdell Center on the Second Floor. The Coverdell Center also has an AAALAC accredited Rodent Vivarium (CRV) in its lowest floor. The multiple research core facilities are located in the Coverdell Building for the research use. This facility maintains multiple analyzers and new high throughput image analysis systems. Our Lab is equipped with Nanodrop for DNA/RNA quantification, C1000™ Thermal Cycler and Biorad CFX96 Touch Real Time PCR system for gene expression quantification, Thermo Scientific Cellomics® ArrayScan® VTI HCS Reader with live cell culture chamber for High Content (HCA) and High Throughput (HTA) Analysis.

Coverdell Facilities


The Paul D. Coverdell Center for Biomedical and Health Sciences is the signature component of UGA's burgeoning initiative for research, education and the creation of technology in biomedicine, health and life sciences. It is the home of UGA's College of Public Health and Biomedical and Health Sciences Institute, whose members conduct research in molecular medicine, infectious diseases, public health and environmental and agricultural sciences. The four-story building encompasses about 135,000 gross square feet and contain research space and offices for more than 275 scientists and graduate students. Features include 25 wet laboratories, 30 procedure rooms, three environmental rooms, fluorescent microscopy suites and six chemical hood rooms.


Cellomics ArrayScan

High content screening (HCS) is an integration of cell based assays, robotics, high resolution fluorescent microscopy, image analysis and advanced informatics. The ArrayScan Vti features include optics by Carl Zeiss, broad white-light source, 12-bit cooled CCD camera, controller software, and live cell chamber for a complete temperature, humidity, and CO2 controlled environment. Additional features include brightfield microscopy, optical sectioning of highly complex or mixed samples, and automated emission filtering. The instrument is designed to work with image analysis modules (BioApplications, see below) that automatically convert images into numeric data that capture changes in cell size, shape, motility, kinetics, and other properties. Measurement of 60,000 cells across 96 different experimental treatments can be made in less than 15 minutes.