CardIAP

CardIAP analyzes spatio-temporal patterns of calcium (Ca2+) transients in confocal line-scan fluorescence images of cardiomyocytes to quantify calcium dynamics.

Key Features:

• Automated analysis: Automates identification of spatio-temporal patterns in Ca2+ transients from confocal line-scan images, including single and multiple Ca2+ events.
• Quantitative data extraction: Extracts quantitative measures of stimulated myocyte responses and produces tables and plots for downstream analysis.
• Indices computation: Calculates alternation and discordance indices for classification of calcium dynamics.
• Fluorometric image processing: Analyzes fluorescence sequences from confocal microscopy loaded with Ca2+-sensitive fluorescent probes to measure dynamic events.
• Implementation: Implemented in Python for computational processing and data output.

Scientific Applications:

• Cardiac calcium signaling: Enables quantitative study of Ca2+ transients in cardiomyocytes to investigate excitation–contraction coupling and aberrant release events.
• Mechanisms of anomalous calcium release: Assists investigation of anomalous calcium release phenomena relevant to cardiac dysfunctions.
• Cellular Ca2+ signaling: Supports studies of Ca2+ as a second messenger in eukaryotic processes including transport, motility, gene expression, and metabolism.

Methodology:

Automated processing of confocal line-scan fluorescence image sequences loaded with Ca2+-sensitive fluorescent probes to detect spatio-temporal Ca2+ transients, compute quantitative measures including alternation and discordance indices, and export tables and plots; implemented in Python.