Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

KymoMerge: a new tool for analysis of multichannel kymographs

Lloyd P. McMahon, Laura Digilio, Alois Duston, Chan Choo Yap, View ORCID ProfileBettina Winckler
doi: https://doi.org/10.1101/2021.11.29.470387
Lloyd P. McMahon
Department of Cell Biology, University of Virginia, 1340 Jefferson Park Avenue, Pinn Hall 3226, Charlottesville, VA 22908, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura Digilio
Department of Cell Biology, University of Virginia, 1340 Jefferson Park Avenue, Pinn Hall 3226, Charlottesville, VA 22908, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alois Duston
Department of Cell Biology, University of Virginia, 1340 Jefferson Park Avenue, Pinn Hall 3226, Charlottesville, VA 22908, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Chan Choo Yap
Department of Cell Biology, University of Virginia, 1340 Jefferson Park Avenue, Pinn Hall 3226, Charlottesville, VA 22908, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: BWinckler@virginia.edu cy5x@virginia.edu
Bettina Winckler
Department of Cell Biology, University of Virginia, 1340 Jefferson Park Avenue, Pinn Hall 3226, Charlottesville, VA 22908, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bettina Winckler
  • For correspondence: BWinckler@virginia.edu cy5x@virginia.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Kymograph analysis is commonly used by researchers to study dynamic processes in cells. Current tools widely available only allow for analysis of one channel kymographs. Here we provide a python-coded, open source program to use as a plug-in for ImageJ which creates one kymograph from the kymographs of two separate channels of one time-lapse movie. This add-in, which we call KymoMerge, therefore allows for analysis of only the co-located tracks in multi-channel movies.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 30, 2021.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
KymoMerge: a new tool for analysis of multichannel kymographs
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
KymoMerge: a new tool for analysis of multichannel kymographs
Lloyd P. McMahon, Laura Digilio, Alois Duston, Chan Choo Yap, Bettina Winckler
bioRxiv 2021.11.29.470387; doi: https://doi.org/10.1101/2021.11.29.470387
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
KymoMerge: a new tool for analysis of multichannel kymographs
Lloyd P. McMahon, Laura Digilio, Alois Duston, Chan Choo Yap, Bettina Winckler
bioRxiv 2021.11.29.470387; doi: https://doi.org/10.1101/2021.11.29.470387

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3505)
  • Biochemistry (7346)
  • Bioengineering (5323)
  • Bioinformatics (20263)
  • Biophysics (10016)
  • Cancer Biology (7743)
  • Cell Biology (11300)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9951)
  • Epidemiology (2065)
  • Evolutionary Biology (13322)
  • Genetics (9361)
  • Genomics (12583)
  • Immunology (7701)
  • Microbiology (19021)
  • Molecular Biology (7441)
  • Neuroscience (41036)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2137)
  • Physiology (3160)
  • Plant Biology (6860)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1896)
  • Systems Biology (5311)
  • Zoology (1089)