CalTrack
CalTrack quantifies calcium transients in cardiomyocytes to measure calcium signaling dynamics relevant to cardiac function and pathology.
Key Features:
- High-Throughput Capability: Processes large imaging datasets to enable analysis across numerous samples.
- Automation: Automates detection and quantification workflows, reducing manual intervention and minimizing human error.
- Precision in Analysis: Extracts detailed transient parameters including amplitude, frequency, and duration.
- Signal Detection and Quantification: Uses advanced algorithms to detect and quantify calcium signals from imaging data.
Scientific Applications:
- Mechanistic cardiac disease studies: Quantifies calcium dynamics to investigate mechanisms underlying heart disease.
- Cardiomyocyte electrophysiology: Provides parameters of calcium transients to assess electrophysiological properties of cardiomyocytes.
- Arrhythmia and cardiac dysfunction research: Enables analysis of calcium signaling alterations associated with arrhythmias and other dysfunctions.
Methodology:
CalTrack employs advanced algorithms to detect and quantify calcium signals from imaging data and processes those signals to extract parameters such as amplitude, frequency, and duration.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- MATLAB
- Added:
- 6/14/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Psaras Y, Margara F, Cicconet M, Sparrow AJ, Repetti GG, Schmid M, Steeples V, Wilcox JA, Bueno-Orovio A, Redwood CS, Watkins HC, Robinson P, Rodriguez B, Seidman JG, Seidman CE, Toepfer CN. CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes. Circulation Research. 2021;129(2):326-341. doi:10.1161/circresaha.121.318868. PMID:34018815. PMCID:PMC8260473.