A visualization framework for localized surface plasmon resonance imaging in sensing applications
Year: 2025
Type: article
Abstract: 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.
Source: Computers & Graphics
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,770
OpenAlex ID: W4413624673