Conversion of a MATLAB Code to Python: Increasing Accessibility to Surface Plasmon Resonance Biosensing Studies
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0562-7_41
Reference6 articles.
1. Wang Q, Cao S, Gao X, Chen X, Zhang D (2022) Improving the detection accuracy of an Ag/Au bimetallic surface plasmon resonance biosensor based on graphene. Chemosensors 10(1):10. https://doi.org/10.3390/chemosensors10010010
2. Gollapalli RP (2020) Enhanced sensitivity in graphene-based SPR biosensors using electrical bias. Opt Lett 45:2862–2865. https://doi.org/10.1364/OL.391504
3. Anshori I et al (2022) Web-based surface plasmon resonance signal processing system for fast analyte analysis. SoftwareX 18. https://doi.org/10.1016/j.softx.2022.101057
4. Yamamoto M, Surface plasmon resonance (SPR) theory: tutorial. Rev Polarogr. https://doi.org/10.5189/revpolarography.48.209
5. Heinrich S, Terwilliger MG, Gollapalli RP (2022) National conference on undergraduate research. In: Comparing python and MATLAB programs that perform calculations based on the application of electrical bias across graphene based SPR biosensors
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