ArticleFrontiers in physiology2021
KairoSight: Open-Source Software for the Analysis of Cardiac Optical Data Collected From Multiple Species.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- A novel methodology to characterize beat-to-beat alternations in whole-cell calcium currents.PloS one · 2026Article
- Validation of a Demography-Based Adaptive QT Correction Formula Using Pediatric and Adult Datasets Acquired From Humans and Guinea Pigs.Circulation. Arrhythmia and electrophysiology · 2025Article
- Electroanatomical adaptations in the guinea pig heart from neonatal to adulthood.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Evaluation of novel open-source software for cardiac optical mapping.Journal of molecular and cellular cardiology plus · 2024Article
- Comparative cardiotoxicity assessment of bisphenol chemicals and estradiol using human induced pluripotent stem cell-derived cardiomyocytes.Toxicological sciences : an official journal of the Society of Toxicology · 2024Article
- Evidence for the cardiodepressive effects of the plasticizer di-2-ethylhexyl phthalate.Toxicological sciences : an official journal of the Society of Toxicology · 2023Article
- Paralysis by analysis: Overcoming cardiac contraction with computer vision.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- KairoSight-3.0: A validated optical mapping software to characterize cardiac electrophysiology, excitation-contraction coupling, and alternans.Journal of molecular and cellular cardiology plus · 2023Article
- Diversity of cells and signals in the cardiovascular system.The Journal of physiology · 2023Article
- ActionPytential: An open source tool for analyzing and visualizing cardiac action potential data.Heliyon · 2023Article
- Article
- The effect of sex and age on ex vivo cardiac electrophysiology: insight from a guinea pig model.American journal of physiology. Heart and circulatory physiology · 2023Article
- Guidelines for assessment of cardiac electrophysiology and arrhythmias in small animals.American journal of physiology. Heart and circulatory physiology · 2022Review
- High resolution optical mapping of cardiac electrophysiology in pre-clinical models.Scientific data · 2022Article
- Characteristics of Bisphenol Cardiotoxicity: Impaired Excitability, Contractility, and Relaxation.Cardiovascular toxicology · 2022Review
- Demographic and Methodological Heterogeneity in Electrocardiogram Signals From Guinea Pigs.Frontiers in physiology · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Cardiac optical mapping, also known as optocardiography, employs parameter-sensitive fluorescence dye(s) to image cardiac tissue and resolve the electrical and calcium oscillations that underly cardiac function. This technique is increasingly being used in conjunction with, or even as a replacement for, traditional electrocardiography. Over the last several decades, optical mapping has matured into a "gold standard" for cardiac research applications, yet the analysis of optical signals can be challenging. Despite the refinement of software tools and algorithms, significant programming expertise is often required to analyze large optical data sets, and data analysis can be laborious and time-consuming. To address this challenge, we developed an accessible, open-source software script that is untethered from any subscription-based programming language. The described software, written in python, is aptly named "
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.