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Biomechanics of Cells and Tissues

Experiments, Models and Simulations

  • Book
  • © 2013

Overview

  • Includes recent advances on experimental and bioengineering techniques
  • Focuses on cell mechanics models suitable for computer simulations and analysis
  • Incorporates applications and examples
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

Keywords

About this book

The application of methodological approaches and mathematical formalisms proper to Physics and Engineering to investigate and describe biological processes and design biological structures has led to the development of many disciplines in the context of computational biology and biotechnology. The best known applicative domain is tissue engineering and its branches. Recent domains of interest are in the field of biophysics, e.g.: multiscale mechanics of biological membranes and films and filaments; multiscale mechanics of adhesion; biomolecular motors and force generation.

Modern hypotheses, models, and tools are currently emerging and resulting from the convergence of the methods and phylosophycal apporaches of the different research areas and disciplines. All these emerging approaches share the purpose of disentangling the complexity of organisms, tissues, and cells and mimiking the function of living systems.

The contributions presented in this book are current research highlights of six challenging and representative applicative domains of phyisical, engineering, and computational approaches in medicine and biology, i.e tissue engineering, modelling of molecular structures, cell mechanics and cell adhesión processes, cancer physics, and physico-chemical processes of metabolic interactions. Each chapter presents a compendium or a review of the original results achieved by authors  in the last years. Furthermore, the book also wants to pinpoint the questions that are still open and that could propel the future research.

Editors and Affiliations

  • Centre for Computational Mechanics, Microsoft Research lab, University of Trento, Trento, Italy

    Paola Lecca

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