ArticleBiophysical journal2014
Automated detection and analysis of Ca(2+) sparks in x-y image stacks using a thresholding algorithm implemented within the open-source image analysis platform ImageJ.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Correlative super-resolution analysis of cardiac calcium sparks and their molecular origins in health and disease.Open biology · 2023Article
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- Electrostatic flocking of salt-treated microfibers and nanofiber yarns for regenerative engineering.Materials today. Bio · 2021Article
- The mechanosensitive Piezo1 channel mediates heart mechano-chemo transduction.Nature communications · 2021Article
- Calcium Spark Detection and Event-Based Classification of Single Cardiomyocyte Using Deep Learning.Frontiers in physiology · 2021Article
- A high throughput machine-learning driven analysis of CaCell calcium · 2020Article
- PunctaSpecks: A tool for automated detection, tracking, and analysis of multiple types of fluorescently labeled biomolecules.Cell calcium · 2020Article
- Altered calcium handling produces reentry-promoting action potential alternans in atrial fibrillation-remodeled hearts.JCI insight · 2020Article
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- Automatic Detection and Classification of CaBiophysical journal · 2019Article
- Reduced myocyte complex N-glycosylation causes dilated cardiomyopathy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019Article
- IOCBIO Sparks detection and analysis software.PeerJ · 2019Article
- CellSpecks: A Software for Automated Detection and Analysis of Calcium Channels in Live Cells.Biophysical journal · 2018Article
- SICT: automated detection and supervised inspection of fast CaScientific reports · 2018Article
- Size Matters: Ryanodine Receptor Cluster Size Affects Arrhythmogenic Sarcoplasmic Reticulum Calcium Release.Journal of the American Heart Association · 2018Article
- CaNature communications · 2017Article
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Authors and funding
2 authors.
Funding
Abstract
Previous studies have used analysis of Ca(2+) sparks extensively to investigate both normal and pathological Ca(2+) regulation in cardiac myocytes. The great majority of these studies used line-scan confocal imaging. In part, this is because the development of open-source software for automatic detection of Ca(2+) sparks in line-scan images has greatly simplified data analysis. A disadvantage of line-scan imaging is that data are collected from a single row of pixels, representing only a small fraction of the cell, and in many instances x-y confocal imaging is preferable. However, the limited availability of software for Ca(2+) spark analysis in two-dimensional x-y image stacks presents an obstacle to its wider application. This study describes the development and characterization of software to enable automatic detection and analysis of Ca(2+) sparks within x-y image stacks, implemented as a plugin within the open-source image analysis platform ImageJ. The program includes methods to enable precise identification of cells within confocal fluorescence images, compensation for changes in background fluorescence, and options that allow exclusion of events based on spatial characteristics.
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Registered trials
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