ArticleEuropean biophysics journal : EBJ2026
vascr: An R-based toolkit for rapid and robust analysis of cellular impedance sensing data.
Article in European biophysics journal : EBJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Electrical impedance sensing offers a powerful, non-invasive method for real-time monitoring of cellular behaviour; with applications spanning immunology, cancer biology and drug discovery. Adoption of impedance-sensing approaches has been accelerated by the commercial availability of the ECIS, xCELLigence, ScioSpec and cellZscope platforms; however, the complexity and volume of impedance datasets produced has limited rigorous analysis. vascr, an open-source R-based toolkit designed to streamline the processing of impedance sensing datasets was created to facilitate rapid and simplified handling of cellular impedance sensing data. vascr can import multi-frequency data from multiple instrument manufacturers and includes robust analysis tools for resampling, outlier detection, and statistical testing using ANOVA and cross-correlation. Using the vascr workflow, impedance sensing data can be rapidly and robustly interpreted, allowing for real-time investigation of the effects of biological agents on cellular processes such as endothelial barrier integrity.
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