Web-based surface plasmon resonance signal processing system for fast analyte analysis

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Anshori, Isa and Harimurti, Suksmandhira and Rama, Mahendra Baleno and Langelo, Rey Ezra and Jessika, Jessika and Yulianti, Lenny Putri and Gumilar, Gilang and Yusuf, Muhammad and Prastriyanti, Silmina and Yuliarto, Brian and Nugrahapraja, Husna and Arnafia, Wyanda and Faizal, Irvan (2022) Web-based surface plasmon resonance signal processing system for fast analyte analysis. SoftwareX, 18. p. 101057. ISSN 23527110

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Official URL: https://doi.org/10.1016/j.softx.2022.101057

Abstract

Most commercially available Surface Plasmon Resonance (SPR) devices are not equipped with convenient analysis software to be operated by the non-expert. We introduce a web-based application for SPR sample data analysis with Python’s Matplotlib and Bokeh as the primary tools. Users can directly upload and analyze the SPR data output, where the data are stored in the Firebase cloud storage. The web application is embedded with several features, including the graph label, tooltips, and interactive legend. With this application, SPR sample analysis only needs to be run within minutes, and the system is made portable by implementing Python virtual environment.

Item Type:	Article
Uncontrolled Keywords:	Surface Plasmon Resonance, Baseline prediction, Web application, Data visualization, Python, Firebase
Subjects:	Computers, Control & Information Theory Biomedical Technology & Human Factors Engineering
Depositing User:	Rizzal Rosiyan
Date Deposited:	03 Nov 2025 16:05
Last Modified:	03 Nov 2025 16:05
URI:	https://karya.brin.go.id/id/eprint/54657

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