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

A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets

Brian P. Griffin, Christopher J. Largaespada, Nicole A. Rinaldi, View ORCID ProfileChristopher A. Lemmon
doi: https://doi.org/10.1101/479790
Brian P. Griffin
Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher J. Largaespada
Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nicole A. Rinaldi
Department of Biomedical Engineering, University of Rochester, Rochester, NY
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christopher A. Lemmon
Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Christopher A. Lemmon
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Many methods exist for quantifying cellular traction forces, including traction force microscopy and microfabricated post arrays. However, these methodologies have limitations, including a requirement to remove cells to determine undeflected particle locations and the inability to quantify forces of cells with low cytoskeletal stiffness, respectively. Here we present a novel method of traction force quantification that eliminates both of these limitations. Through the use of a hexagonal pattern of microcontact-printed protein spots, a novel computational algorithm, and thin surfaces of polydimethyl siloxane (PDMS) blends, we demonstrate a system that quantifies cellular forces on a homogeneous surface that is stable, easily manufactured, and can quantify forces without need for cellular removal.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted November 29, 2018.
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.
A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
Share
A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets
Brian P. Griffin, Christopher J. Largaespada, Nicole A. Rinaldi, Christopher A. Lemmon
bioRxiv 479790; doi: https://doi.org/10.1101/479790
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
A Novel Method for Quantifying Traction Forces from Hexagonal Micropatterned Features on Deformable Poly-Dimethyl Siloxane Sheets
Brian P. Griffin, Christopher J. Largaespada, Nicole A. Rinaldi, Christopher A. Lemmon
bioRxiv 479790; doi: https://doi.org/10.1101/479790

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

  • Bioengineering
Subject Areas
All Articles
  • Animal Behavior and Cognition (1545)
  • Biochemistry (2500)
  • Bioengineering (1757)
  • Bioinformatics (9729)
  • Biophysics (3929)
  • Cancer Biology (2990)
  • Cell Biology (4235)
  • Clinical Trials (135)
  • Developmental Biology (2653)
  • Ecology (4129)
  • Epidemiology (2033)
  • Evolutionary Biology (6933)
  • Genetics (5243)
  • Genomics (6532)
  • Immunology (2208)
  • Microbiology (7012)
  • Molecular Biology (2784)
  • Neuroscience (17412)
  • Paleontology (127)
  • Pathology (432)
  • Pharmacology and Toxicology (712)
  • Physiology (1068)
  • Plant Biology (2516)
  • Scientific Communication and Education (647)
  • Synthetic Biology (835)
  • Systems Biology (2699)
  • Zoology (439)