Daniel B. Joelsson
Papers
1
Total Citations
40
H-Index
1
About
Daniel B. Joelsson is a distinguished researcher whose work lies at the critical intersection of laboratory automation, statistical design of experiments (DoE), and immunoassay optimization. His most-cited paper, "Optimizing ELISAs for precision and robustness using laboratory automation and statistical design of experiments" (2008, 40 citations), exemplifies his pioneering approach to transforming bioanalytical methods. Joelsson’s major contribution is the systematic integration of automated liquid handling with rigorous DoE principles to enhance the accuracy, reproducibility, and efficiency of enzyme-linked immunosorbent assays (ELISAs)—a cornerstone technique in diagnostics and biomedical research. By demonstrating how to minimize variability and maximize signal-to-noise ratios through factorial designs and robotic workflows, his work has provided a blueprint for high-throughput, quality-controlled assay development. This methodology has been widely adopted in pharmaceutical and clinical laboratories, reducing manual error and accelerating validation processes. Joelsson’s impact is further underscored by the enduring relevance of his 2008 paper, which continues to guide researchers seeking robust, data-driven optimization strategies. His achievements highlight a career dedicated to bridging statistical rigor and automation, making complex bioanalytical processes more reliable and accessible.
Research Focus
Key Achievements
Top Papers
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