CardIAP: calcium transients confocal image analysis tool

Area of Science:

• Cardiovascular Research
• Cellular Biology
• Biomedical Imaging Analysis

Background:

• Calcium (Ca2+) handling is crucial in cardiovascular research, as alterations impact cell functionality.
• Fluorometric techniques enable quantitative measurement of dynamic Ca2+ events in living cells.
• Analyzing confocal microscopy images of cardiomyocytes and intact hearts requires specialized tools for spatial and temporal data.

Purpose of the Study:

• To introduce CardIAP, an open-source Python application for systematic, accurate, and rapid analysis of cardiomyocyte and intact heart images.
• To provide a tool for researchers to analyze spatial and temporal changes in calcium dynamics.
• To facilitate the study of anomalous calcium release phenomena in cardiovascular research.

Main Methods:

• Development of CardIAP as an open-source Python tool, available as an interactive web application and a standalone library installable via PIP.
• Utilizes fluorometric techniques and Ca2+-sensitive fluorescent probes for quantitative analysis of confocal microscopy images.
• Enables analysis of complete images or portions thereof, with replication across image series.

Main Results:

• CardIAP provides systematic, accurate, and rapid analysis of spatial and temporal calcium dynamics in cardiomyocytes and intact hearts.
• The tool allows for characterization of calcium releases and extraction of dynamics data into downloadable tables.
• Facilitates calculation and classification of alternation and discordance indices.

Conclusions:

• CardIAP offers a valuable, open-source solution for analyzing complex cardiovascular image data.
• The application streamlines the extraction of critical information on calcium handling, aiding research into disease mechanisms.
• By optimizing image analysis, CardIAP can improve resource and animal usage in biomedical research.