Evidence map›Paper›PMID 33911090›Full record

ArticleScientific reports2021

COSMAS: a lightweight toolbox for cardiac optical mapping analysis.

Jakub Tomek, Zhinuo Jenny Wang, Rebecca-Ann Beatrice Burton, Neil Herring, Gil Bub

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 26 citations in OpenAlex.

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  6. Evaluation of novel open-source software for cardiac optical mapping.Journal of molecular and cellular cardiology plus · 2024
    Article
  7. Optical mapping and optogenetics in cardiac electrophysiology research and therapy: a state-of-the-art review.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 · 2024
    Review
  8. Article
  9. Paralysis by analysis: Overcoming cardiac contraction with computer vision.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
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  13. Guidelines for assessment of cardiac electrophysiology and arrhythmias in small animals.American journal of physiology. Heart and circulatory physiology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Jakub TomekDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK. jakub.tomek.mff@gmail.com.
Zhinuo Jenny WangDepartment of Computer Science, University of Oxford, Oxford, UK.
Rebecca-Ann Beatrice BurtonDepartment of Pharmacology, University of Oxford, Oxford, UK.
Neil HerringDepartment of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, UK.
Gil BubDepartment of Physiology, McGill University, Montréal, Canada.
University of Oxford · GBMcGill University · CA

Funding

BHF Centre of Research Excellence, Oxford RE/08/004British Heart Foundation FS/SCRF/20/32005British Heart Foundation PG/18/4/33521Wellcome Trust 109371/Z/15/ZWellcome Trust 214290/Z/18/Z
6 · The paper itself

Abstract

Optical mapping is widely used in experimental cardiology, as it allows visualization of cardiac membrane potential and calcium transients. However, optical mapping measurements from a single heart or cell culture can produce several gigabytes of data, warranting automated computer analysis. Here we present COSMAS, a software toolkit for automated analysis of optical mapping recordings in cardiac preparations. COSMAS generates activation and conduction velocity maps, as well as visualizations of action potential and calcium transient duration, S1-S2 protocol analysis, and alternans mapping. The software is built around our recent 'comb' algorithm for segmentation of action potentials and calcium transients, offering excellent performance and high resistance to noise. A core feature of our software is that it is based on scripting as opposed to relying on a graphical user interface for user input. The central role of scripts in the analysis pipeline enables batch processing and promotes reproducibility and transparency in the interpretation of large cardiac data sets. Finally, the code is designed to be easily extended, allowing researchers to add functionality if needed. COSMAS is provided in two languages, Matlab and Python, and is distributed with a user guide and sample scripts, so that accessibility to researchers is maximized.

Indexed as

User-Computer InterfaceAction PotentialsAlgorithmsAnimalsCalciumHeartIsoproterenolMyocardiumRatsCalciumIsoproterenol

Identifiers

PMID33911090
PMCPMC8080775
OpenAlexW3153253828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.