ArticleMethods in molecular biology (Clifton, N.J.)2025
Computational Analysis of Calcium Flux Data Using R.
Article in Methods in molecular biology (Clifton, N.J.), 2025. 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
Calcium imaging has emerged as a powerful tool for studying cellular dynamics, with applications spanning neuroscience, cell biology, and beyond. In this chapter, we present a comprehensive guide to the computational analysis of calcium flux data using the R programming language. Using an example of in vivo live imaging of GCaMP signal in zebrafish hepatocytes, we demonstrate techniques for segmentation, normalization, and quantification of calcium transients. We provide a step-by-step code example showcasing extraction of meaningful information from calcium imaging datasets. The code allows insights into the number of oscillating cells, number of oscillations per cell within a time frame, and generation of publication-ready plots for showcasing calcium dynamics. This chapter serves as a valuable resource for researchers seeking to leverage freely available computational tools for analyzing calcium flux data at cellular resolution and uncovering novel insights into cellular physiology.
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