Scheduled Maintenance on April 29th, 2016:
IEEE Xplore will be unavailable for approximately 1 hour starting at 11:30 AM EDT. We apologize for the inconvenience.
By Topic

Cell Contour Tracking and Data Synchronization for Real-Time, High-Accuracy Micropipette Aspiration

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xinyu Liu ; Adv. Micro & Nanosystems Lab., Univ. of Toronto, Toronto, ON, Canada ; Yifei Wang ; Yu Sun

This paper presents an automated cell contour visual measurement technique and a data synchronization mechanism for real-time, high-accuracy mechanical characterization of individual cells with micropipette aspiration. A computer vision tracking algorithm is developed for automatically measuring cell deformation parameters in real time (30 Hz) with a resolution down to 0.21 pixel, significantly enhancing the accuracy and efficiency of micropipette aspiration. To achieve a high characterization accuracy, the cell deformations and applied pressure changes are precisely synchronized using a data synchronization mechanism. Experimental results on both solid-like cells (interstitial cells) and liquid-like cells (neutrophils) quantitatively demonstrate that the visual tracking algorithm is capable of significantly increasing the efficiency and accuracy of micropipette aspiration. Among several characterized mechanical parameters, the viscoelastic properties of porcine aortic valve interstitial cells were, for the first time, quantified in this study.

Published in:

IEEE Transactions on Automation Science and Engineering  (Volume:6 ,  Issue: 3 )