Web App Design for Surface Plasmon Resonance Signal Processing

The rapid spread of COVID-19 disturbs the availability of the diagnostic tests for detecting COVID-19. Recently, a new test method is being developed by the cooperation between BPPT, ITB, Unpad and PT. TMC. The method is called as the Surface Plasmon Resonance (SPR). However, the data output of the SPR device must be further processed to obtain a powerful information. Hence, we propose a new approach for interactively visualizing SPR data by designing a web app platform. By this platform, user/operator can directly upload the SPR data output file in the web app. In the current design, the imported data are stored in the cloud storage. Moreover, user can also enter additional data for the purpose of labelling the graph that will be automatically generated. Bokeh was chosen as a Python library for visualizing data into an interactive graph. The graph features are label, tooltips, and interactive legend. A SPR data can have various signal responses. But, the labels can be as the help to distinguish those responses. The tooltips allow the user to obtain detailed information from a data point. Meanwhile, the interactive legend is used to distinguish SPR data plot and baseline plot. Therefore, by the use of this web app, the SPR sample analysis could be done just within in minutes. It also only requires a web browser and Python to works.