A visualization framework for localized surface plasmon resonance imaging in sensing applications

lspr! ( lspr! ) is a powerful tool in clinical diagnostics and environmental monitoring for detecting various types of molecules. Building on this foundation, lspri! ( lspri! ) offers spatially-resolved sensing and has emerged as an active area of research with growing interest within the scientific community. However, analyzing lspri! data remains complex, requiring users to configure models, choose analysis parameters, and interpret derived metrics—often across disconnected tools or custom scripts. We present a visualization framework that supports users throughout the full analysis process. It automates certain aspects of the analysis while still allowing users to configure models and parameters and visualizes both intermediate and final results to facilitate comparison and interpretation. Our system was developed in close collaboration with domain experts through an iterative design process and evaluated through interviews with scientists using lspri! in their research. It has the potential to streamline lspri! data analysis, enabling researchers to explore, compare, and refine their modeling choices more efficiently. • Visualization of high-dimensional localized surface plasmon resonance imaging data. • Development of an integrated analysis framework. • Automation of key analysis tasks. • Options for parameter fine-tuning by users. • Validation of the analysis framework through feedback from domain experts.