Shinyscreen is built as a modular, extensible architecture that seamlessly integrates user accessibility with computational efficiency. It is tailored to support a wide range of MS data analysis ranging from target and suspect screening workflows to non-targeted studies. The application emphasizes streamlined data processing and intuitive visualisation, making it versatile for different research scenarios and educational purposes. A comprehensive overview of the conceptual workflow for Shinyscreen is presented in Figure , outlining each step of the process. The core steps of Shinyscreen include initialisation, extraction and prescreesing, visualisation and integration with MetFrag for further analysis, all wrapped in a front-end (user interface). Following the inputs and configuration (shown in yellow), data is first extracted and then prescreened (blue boxes in Figure ) and finally visualized / exported (green box, Figure ). This section describes the underlying software framework and technical design of Shinyscreen, while the results and discussion section gives a practical demonstration of Shinyscreen, highlighting its capabilities and key features.