CalDyn: an advanced high-throughput automated algorithm for monitoring intracellular calcium dynamics and electrophysiological signals in patient-derived cells.

CalDyn, a MATLAB-based automated workflow, detects calcium and electrophysiological events with 94.4% sensitivity, 89.9% precision, and an F1 score of 0.92 across patient-derived recordings.

• Why it matters: Quantitative analysis is difficult when calcium and voltage signals show baseline drift, low-amplitude events, irregular waveforms, or multicomponent transients.
• What they did: CalDyn uses Savitzky-Golay filtering, LOESS-assisted derivative detection, optional baseline correction, waveform-boundary fitting, and rule-based classification, then batch-processes data and exports results. It was benchmarked against PeakInspector, Clampfit, and BV Workbench using paired and Bland-Altman analyses, plus 142 expert-annotated events and synthetic signals.
• The result: Performance was highest in healthy cardiomyocytes, paced myotubes, and action potentials, with reduced recall in arrhythmic cardiomyocytes and variable precision in neurons. It also found candidate low-amplitude diastolic and multicomponent Ca2+ events in arrhythmic cardiomyocytes, though CalDyn-only event identity was not independently confirmed.

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