Evidence map›Paper›PMID 35617323›Full record

ArticlePloS one2022

Cardio PyMEA: A user-friendly, open-source Python application for cardiomyocyte microelectrode array analysis.

Christopher S Dunham, Madelynn E Mackenzie, Haruko Nakano, Alexis R Kim, Atsushi Nakano, Adam Z Stieg, James K Gimzewski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

7 authors.

Christopher S DunhamDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California, United States of America.ORCID 0000-0001-9547-0053
Madelynn E MackenzieDepartment of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, California, United States of America.ORCID 0000-0001-8365-7793
Haruko NakanoDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, California, United States of America.
Alexis R KimDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California, United States of America.ORCID 0000-0002-9830-7312
Atsushi NakanoDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, California, United States of America.
Adam Z StiegCalifornia NanoSystems Institute, University of California, Los Angeles, California, United States of America.
James K GimzewskiDepartment of Chemistry and Biochemistry, University of California, Los Angeles, California, United States of America.

Funding

Metabolic regulation of heart formationR01HL142801 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NAKANO, ATSUSHI · 2019 to 2022
$1.6M
Using formins to build distinct structures in cardiomyocytesR01HL146159 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI QUINLAN, MARGOT E · 2019 to 2022
$1.5M
The role of electromechanical cue on cardiomyocyte maturationR21HL124503 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GIMZEWSKI, JAMES K, NAKANO, ATSUSHI · 2015 to 2016
$407k
NHLBI NIH HHS R01 HL142801NHLBI NIH HHS R01 HL146159NHLBI NIH HHS R21 HL124503
6 · The paper itself

Abstract

Open source analytical software for the analysis of electrophysiological cardiomyocyte data offers a variety of new functionalities to complement closed-source, proprietary tools. Here, we present the Cardio PyMEA application, a free, modifiable, and open source program for the analysis of microelectrode array (MEA) data obtained from cardiomyocyte cultures. Major software capabilities include: beat detection; pacemaker origin estimation; beat amplitude and interval; local activation time, upstroke velocity, and conduction velocity; analysis of cardiomyocyte property-distance relationships; and robust power law analysis of pacemaker spatiotemporal instability. Cardio PyMEA was written entirely in Python 3 to provide an accessible, integrated workflow that possesses a user-friendly graphical user interface (GUI) written in PyQt5 to allow for performant, cross-platform utilization. This application makes use of object-oriented programming (OOP) principles to facilitate the relatively straightforward incorporation of custom functionalities, e.g. power law analysis, that suit the needs of the user. Cardio PyMEA is available as an open source application under the terms of the GNU General Public License (GPL). The source code for Cardio PyMEA can be downloaded from Github at the following repository: https://github.com/csdunhamUC/cardio_pymea.

Indexed as

Myocytes, CardiacSoftwareCardiac ElectrophysiologyMicroelectrodes

Identifiers

PMID35617323
PMCPMC9135279

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.