Evaluating concentration estimation errors in ELISA microarray experiments

Background: Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate a protein's concentration in a sample. Deploying ELISA in a microarray format permits simultaneous estimation of the concentrations of numerous proteins in a small sample. These estimates, however, are uncertain due to processing error and biological variability. Evaluating estimation error is critical to interpreting biological significance and improving the ELISA microarray process. Estimation error evaluation must be automated to realize a reliable high-throughput ELISA microarray system. In this paper, we present a statistical method based on propagation of error to evaluate concentration estimation errors in the ELISA microarray process. Although propagation of error is central to this method and the focus of this paper, it is most effective only when comparable data are available. Therefore, we briefly discuss the roles of experimental design, data screening, normalization, and stati...

• Type: Journal
• Year: 2005
• Where: BMCBI
• Authors: Don Simone Daly, Amanda M. White, Susan M. Varnum, Kevin K. Anderson, Richard C. Zangar
• Keywords: BMCBI 2005, ELISA Microarray, ELISA Microarray Process, Estimation Errors