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

A fast microfluidic device to measure the deformability of red blood cells

Ninad Mehendale, Dhrubaditya Mitra, View ORCID ProfileDebjani Paul
doi: https://doi.org/10.1101/644161
Ninad Mehendale
1Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dhrubaditya Mitra
2NORDITA, KTH Royal Institute of Technology and Stockholm University, Roslagstullsbacken 23, SE-10691 Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: dhruba.mitra@gmail.com debjani.paul@iitb.ac.in
Debjani Paul
1Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Debjani Paul
  • For correspondence: dhruba.mitra@gmail.com debjani.paul@iitb.ac.in
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

We report a microfluidic device to determine the shear elastic modulus and the Young’s modulus of red blood cells (RBCs). Our device consists of a single channel opening into a funnel, with a semi-circular obstacle placed at the mouth of the funnel. As a RBC passes the obstacle, it deflects from its original path. Using populations of artificially-stiffened RBCs, we show that the stiffer RBCs deflect more compared to the normal RBCs. We use calibration curves obtained from numerical simulations to map a trajectory of each RBC to its elastic constants. Our estimates of the shear elastic modulus and the Young’s modulus of normal RBCs are within the same range of values reported in the literature using AFM, optical tweezers and micropipette measurements. We also estimate indirectly the elongation index of normal and artificially hardened RBCs from their tracks, without any direct observation of their shapes. Finally, we sort a mixed population of RBCs based on their deformability alone. Our device could potentially be further miniaturized to sort and obtain the elastic constants of nanoscale objects, whose shape change is difficult to monitor by optical microscopy.

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 May 21, 2019.
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 fast microfluidic device to measure the deformability of red blood cells
(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
A fast microfluidic device to measure the deformability of red blood cells
Ninad Mehendale, Dhrubaditya Mitra, Debjani Paul
bioRxiv 644161; doi: https://doi.org/10.1101/644161
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A fast microfluidic device to measure the deformability of red blood cells
Ninad Mehendale, Dhrubaditya Mitra, Debjani Paul
bioRxiv 644161; doi: https://doi.org/10.1101/644161

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

  • Biophysics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3477)
  • Biochemistry (7316)
  • Bioengineering (5293)
  • Bioinformatics (20185)
  • Biophysics (9970)
  • Cancer Biology (7696)
  • Cell Biology (11242)
  • Clinical Trials (138)
  • Developmental Biology (6415)
  • Ecology (9910)
  • Epidemiology (2065)
  • Evolutionary Biology (13270)
  • Genetics (9347)
  • Genomics (12542)
  • Immunology (7666)
  • Microbiology (18923)
  • Molecular Biology (7414)
  • Neuroscience (40861)
  • Paleontology (298)
  • Pathology (1225)
  • Pharmacology and Toxicology (2124)
  • Physiology (3137)
  • Plant Biology (6835)
  • Scientific Communication and Education (1268)
  • Synthetic Biology (1890)
  • Systems Biology (5295)
  • Zoology (1083)