Growth curve assays using micro titer plate readers are commonly used in the biopharmaceutical industry for screening media components. These assays can generate large amounts of data very quickly; thus, automated approaches to the de-bottleneck the data analysis step are critical to enable faster decision making. At Kerry, retrieving, cleaning, and formatting the growth assay data is a manual process that is time-consuming and error-prone.
In this work, an automated data formatting and clean-up approach using JMP’s workflow builder is being evaluated to reduce the data analysis time and automate redundant analyses. JMP's add-in developer is being explored for capturing automated scripts into easy-of-use add-ins for JMP beginners and experts alike. If successful, add-ins will be made publicly available so other researchers performing microtiter plate assays can benefit with easy data retrieval, clean-up, and analysis.
