Here we present the CardIAP web app, an automated method for the identification of spatio-temporal patterns in a calcium fluorescence imaging sequence. Through this tool, users can analyze single or multiple Ca2+ transients from confocal line-scan images and obtain quantitative information on the dynamic response of the stimulated myocyte.
Our web application also allows the user the extraction of data on calcium dynamics in downloadable tables and plots, simplifying the calculation of the alternation and discordance indices and their classification.CardIAP could assist in studying the underlying mechanisms of anomalous calcium release phenomena.
CardIAP is a Python based tool, which allows users to easily work with a single file or a pool of images, and obtain representative amplitude and kinetics data.
CardIAP was developed at the Universidad Nacional de Quilmes, in the Structural Bioinformatics Group.
Ana Julia Velez Rueda, Agustín García Smith, Luis Alberto Gonano, Silvina Fornasari, Gustavo Parisi and Leandro Matías Sommese.
We are located at the Universidad Nacional de Quilmes. Roque Sáenz Peña 352 (B1876BXD) Bernal, Buenos Aires, Argentina.
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