Microtiter plate maps are a standard tool in laboratory experiments, allowing scientists to investigate physical, chemical, and/or biological reactions of test articles in various assays. Traditional data visualization methods of microtiter plates are often inefficient when conveying relationships unique to plate data, to include capturing both the spatial and temporal sources of variability.

To address this problem, we created a JMP dashboard to visualize plate maps, providing users with unique insights into the spatial distribution and elements of their data. The dashboard facilitates easy visualization and exploratory data analysis through multiple interactive views of heat maps, scatter plots, and dose response curves on data simulated to highlight typical issues encountered in plate experiments. Users can dynamically switch between views, customize visualizations, and interact with individual or groups of data points that warrant probing.

Additionally, the dashboard supports data filtering and annotation through row labeling, enhancing the interpretability and utility of plate map visualizations. The dashboard also serves as an effective tool in communicating data quality and potential areas of concern, such as plate and/or lab variability, or other process errors that may exist in the data. By facilitating flexible exploration and analysis of complex data sets, the dashboard empowers users to gain deeper insights from their plate-based experiments, accelerating scientific discovery and knowledge.