ArticleMicrobial cell factories2026
Turbid but accurate: automating lysostaphin quantification including uncertainty quantification.
Article in Microbial cell factories, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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9 authors.
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Abstract
Conventional methods for measuring antibacterial activity, such as disk-diffusion assays, have limitations in quantitative reliability and require long incubation times making them unsuitable for high-throughput applications. To address these limitations, we automated a turbidity-based assay using readily available equipment and Bayesian data analysis, enabling accurate and precise antibacterial quantification from high-throughput experiments. In this study, we demonstrate the method applied to lysostaphin, a potent anti-staphylococcal agent and promising candidate for therapeutic applications. The turbidity assay monitors optical density changes upon lysostaphin-induced lysis of a susceptible Staphylococcus strain. We validated the use of autoclaved Staphylococcus carnosus TM300 as suitable indicator strain and optimized assay conditions for dynamic range of 0.63-10 mg L
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