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About

Mathew Diggle is a specialist in laboratory automation and molecular microbiology, with a career focused on streamlining the detection and characterization of clinically significant bacterial pathogens. His most influential work centers on the automation of Multilocus Sequence Typing (MLST), a powerful technique used to identify and track strains of disease-causing bacteria. His 2003 paper on automated pneumococcal MLST, which introduced liquid-handling robotics combined with capillary DNA sequencing, has garnered 38 citations and remains a landmark contribution to high-throughput microbial typing. Building on this, his 2006 study advanced the field further by incorporating third-generation liquid-handling technology, demonstrating a continued commitment to refining laboratory workflows. Diggle has also made meaningful contributions to PCR template purification and the semi-automation of meningococcal disease confirmation, reflecting his broader goal of improving accuracy, reproducibility, and throughput in clinical and research laboratories alike. With over 80 cumulative citations across his key publications, his work has had a tangible impact on the way modern laboratories respond to the growing demand for rapid, reliable bacterial diagnostics, ultimately supporting better public health outcomes.