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

Mathematical model of tumour spheroid experiments with real-time cell cycle imaging

View ORCID ProfileWang Jin, Loredana Spoerri, Nikolas K. Haass, View ORCID ProfileMatthew J. Simpson
doi: https://doi.org/10.1101/2020.12.06.413856
Wang Jin
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland 4001, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Wang Jin
Loredana Spoerri
2The University of Queensland, The University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nikolas K. Haass
2The University of Queensland, The University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew J. Simpson
1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland 4001, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matthew J. Simpson
  • For correspondence: matthew.simpson@qut.edu.au
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article Information

doi 
https://doi.org/10.1101/2020.12.06.413856
History 
  • December 7, 2020.
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-ND 4.0 International license.

Author Information

  1. Wang Jin1,
  2. Loredana Spoerri2,
  3. Nikolas K. Haass2,† and
  4. Matthew J. Simpson*,1,†
  1. 1School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland 4001, Australia
  2. 2The University of Queensland, The University of Queensland, Diamantina Institute, Translational Research Institute, Brisbane, Australia
  1. ↵*To whom correspondence should be addressed. E-mail: matthew.simpson{at}qut.edu.au
  1. ↵† NKH and MJS contributed equally.

Back to top
PreviousNext
Posted December 07, 2020.
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.
Mathematical model of tumour spheroid experiments with real-time cell cycle imaging
(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
Mathematical model of tumour spheroid experiments with real-time cell cycle imaging
Wang Jin, Loredana Spoerri, Nikolas K. Haass, Matthew J. Simpson
bioRxiv 2020.12.06.413856; doi: https://doi.org/10.1101/2020.12.06.413856
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Mathematical model of tumour spheroid experiments with real-time cell cycle imaging
Wang Jin, Loredana Spoerri, Nikolas K. Haass, Matthew J. Simpson
bioRxiv 2020.12.06.413856; doi: https://doi.org/10.1101/2020.12.06.413856

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

  • Cancer Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4116)
  • Biochemistry (8819)
  • Bioengineering (6522)
  • Bioinformatics (23467)
  • Biophysics (11796)
  • Cancer Biology (9216)
  • Cell Biology (13327)
  • Clinical Trials (138)
  • Developmental Biology (7439)
  • Ecology (11416)
  • Epidemiology (2066)
  • Evolutionary Biology (15157)
  • Genetics (10441)
  • Genomics (14047)
  • Immunology (9175)
  • Microbiology (22165)
  • Molecular Biology (8816)
  • Neuroscience (47587)
  • Paleontology (350)
  • Pathology (1429)
  • Pharmacology and Toxicology (2492)
  • Physiology (3731)
  • Plant Biology (8082)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6039)
  • Zoology (1253)