Key result
CalDyn achieves ~94% sensitivity for automated peak detection in calcium and electrophysiological signals.
Why the study?
Quantitative analysis of intracellular calcium and electrophysiological signals is challenging when signals exhibit baseline drift, low-amplitude events, irregular waveforms, or multicomponent transients.
Does the CalDyn automated algorithm accurately detect and characterize intracellular calcium dynamics and electrophysiological signals compared to expert annotation and existing software (PeakInspector, Clampfit, BV Workbench) in patient-derived cells?
Does the CalDyn automated algorithm accurately detect and characterize intracellular calcium dynamics and electrophysiological signals compared to expert annotation and existing software (PeakInspector, Clampfit, BV Workbench) in patient-derived cells?
CalDyn provides an accessible, reproducible MATLAB-based workflow for high-throughput automated analysis of heterogeneous intracellular calcium and electrophysiological signals in patient-derived cells, offering a versatile alternative to modality-specific software when paired with visual quality control.
Answers are grounded in this paper and cite their sources.
CalDyn may accelerate preclinical calcium signal analysis; leaves open clinical translation pending human validation.
Background Quantitative analysis of intracellular calcium and electrophysiological signals is challenging when signals exhibit baseline drift, low-amplitude events, irregular waveforms, or multicomponent transients. We developed CalDyn, a MATLAB-based graphical application for automated peak detection, waveform characterization, event classification, batch processing, quality control and data export. Methods CalDyn combines Savitzky–Golay filtering, LOESS-assisted derivative detection, optional baseline correction, waveform-boundary fitting and rule-based peak classification. It was evaluated on calcium recordings (healthy and disease-associated hiPSC-derived cardiomyocytes, hiPSC-derived neurons, primary skeletal myotubes), current-clamp action potentials and cardiac optical-mapping signals. Outputs were compared with PeakInspector, Clampfit and BV Workbench using paired and Bland–Altman analyses. Detection was assessed against 142 expert-annotated events and synthetic signals of known timing and amplitude. Results CalDyn achieved 94.4% sensitivity, 89.9% precision and an F1 score of 0.92. Performance peaked for healthy cardiomyocytes, paced myotubes and action potentials, with lower recall in arrhythmic cardiomyocytes and variable precision in neurons. CalDyn detected candidate low-amplitude diastolic and multicomponent Ca2+ events in arrhythmic cardiomyocytes, although the biological identity of CalDyn-only events was not independently confirmed. Comparisons with software revealed parameter-specific systematic differences, notably for rise rates and classifications. Action-potential measurements showed limited mean bias but non-negligible limits of agreement. In synthetic signals, amplitude error increased with noise and uncorrected drift, and timing error with low sampling rates. Detection remained stable across moderate parameter variation. Conclusions CalDyn provides an accessible, reproducible and versatile workflow for automated analysis of heterogeneous calcium and electrophysiological signals. With appropriate quality control, it offers a robust alternative to modality-specific tools.
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Sleiman et al. (2026) studied Intracellular calcium dynamics and electrophysiological signal analysis in excitable cells (including PMVT and LMNA cardiac models) (n=142). CalDyn automated MATLAB-based algorithm vs. Expert manual annotation and reference software (PeakInspector, Clampfit, BV Workbench) was evaluated on Automated peak detection sensitivity, precision, and F1 score against 142 expert-annotated events (Sensitivity 94.4%, Precision 89.9%, F1 score 0.92). CalDyn achieved 94.4% sensitivity, 89.9% precision, and an F1 score of 0.92 for automated peak detection across 142 expert-annotated calcium and electrophysiological events.
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