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Introduction of non-linear elasticity models for characterization of shape and deformation statistics: application to contractility assessment of isolated adult cardiocytes

Overview of attention for article published in BMC Biophysics, August 2011
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Title
Introduction of non-linear elasticity models for characterization of shape and deformation statistics: application to contractility assessment of isolated adult cardiocytes
Published in
BMC Biophysics, August 2011
DOI 10.1186/2046-1682-4-17
Pubmed ID
Authors

Carlos Bazan, Trevor Hawkins, David Torres-Barba, Peter Blomgren, Paul Paolini

Abstract

We are exploring the viability of a novel approach to cardiocyte contractility assessment based on biomechanical properties of the cardiac cells, energy conservation principles, and information content measures. We define our measure of cell contraction as being the distance between the shapes of the contracting cell, assessed by the minimum total energy of the domain deformation (warping) of one cell shape into another. To guarantee a meaningful vis-à-vis correspondence between the two shapes, we employ both a data fidelity term and a regularization term. The data fidelity term is based on nonlinear features of the shapes while the regularization term enforces the compatibility between the shape deformations and that of a hyper-elastic material.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Ph. D. Student 1 14%
Student > Postgraduate 1 14%
Student > Master 1 14%
Unknown 2 29%
Readers by discipline Count As %
Engineering 2 29%
Computer Science 1 14%
Chemistry 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2011.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Biophysics
#52
of 57 outputs
Outputs of similar age
#115,966
of 125,913 outputs
Outputs of similar age from BMC Biophysics
#1
of 1 outputs
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