Physical Models Of Cell Motility
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Author | : Igor S. Aranson |
Publisher | : Springer |
Total Pages | : 208 |
Release | : 2015-12-16 |
Genre | : Science |
ISBN | : 3319244485 |
This book surveys the most recent advances in physics-inspired cell movement models. This synergetic, cross-disciplinary effort to increase the fidelity of computational algorithms will lead to a better understanding of the complex biomechanics of cell movement, and stimulate progress in research on related active matter systems, from suspensions of bacteria and synthetic swimmers to cell tissues and cytoskeleton.Cell motility and collective motion are among the most important themes in biology and statistical physics of out-of-equilibrium systems, and crucial for morphogenesis, wound healing, and immune response in eukaryotic organisms. It is also relevant for the development of effective treatment strategies for diseases such as cancer, and for the design of bioactive surfaces for cell sorting and manipulation. Substrate-based cell motility is, however, a very complex process as regulatory pathways and physical force generation mechanisms are intertwined. To understand the interplay between adhesion, force generation and motility, an abundance of computational models have been proposed in recent years, from finite element to immerse interface methods and phase field approaches.This book is primarily written for physicists, mathematical biologists and biomedical engineers working in this rapidly expanding field, and can serve as supplementary reading for advanced graduate courses in biophysics and mathematical biology. The e-book incorporates experimental and computer animations illustrating various aspects of cell movement./div
Author | : Magdalena Stolarska |
Publisher | : Springer |
Total Pages | : 276 |
Release | : 2018-10-21 |
Genre | : Mathematics |
ISBN | : 9783319968414 |
This book contains a collection of original research articles and review articles that describe novel mathematical modeling techniques and the application of those techniques to models of cell motility in a variety of contexts. The aim is to highlight some of the recent mathematical work geared at understanding the coordination of intracellular processes involved in the movement of cells. This collection will benefit researchers interested in cell motility as well graduate students taking a topics course in this area.
Author | : Eric Lauga |
Publisher | : Cambridge University Press |
Total Pages | : 391 |
Release | : 2020-11-05 |
Genre | : Science |
ISBN | : 1107174651 |
A pedagogical review of the mathematical modelling in fluid dynamics necessary to understand the motility of most microorganisms on Earth.
Author | : Arnaud Chauvière |
Publisher | : CRC Press |
Total Pages | : 484 |
Release | : 2010-01-27 |
Genre | : Mathematics |
ISBN | : 1420094556 |
Ubiquitous and fundamental in cell mechanics, multiscale problems can arise in the growth of tumors, embryogenesis, tissue engineering, and more. Cell Mechanics: From Single Scale-Based Models to Multiscale Modeling brings together new insight and research on mechanical, mathematical, physical, and biological approaches for simulating the behavior
Author | : Alexander Anderson |
Publisher | : Springer Science & Business Media |
Total Pages | : 346 |
Release | : 2007-08-08 |
Genre | : Mathematics |
ISBN | : 376438123X |
Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.
Author | : Roland Kaunas |
Publisher | : CRC Press |
Total Pages | : 370 |
Release | : 2014-10-23 |
Genre | : Medical |
ISBN | : 1466553820 |
Explores a Range of Multiscale Biomechanics/Mechanobiology ConceptsCell and Matrix Mechanics presents cutting-edge research at the molecular, cellular, and tissue levels in the field of cell mechanics. This book involves key experts in the field, and covers crucial areas of cell and tissue mechanics, with an emphasis on the roles of mechanical forc
Author | : |
Publisher | : |
Total Pages | : 0 |
Release | : 2002 |
Genre | : Cells |
ISBN | : 9780815332183 |
Author | : Marco Scianna |
Publisher | : CRC Press |
Total Pages | : 300 |
Release | : 2013-03-26 |
Genre | : Mathematics |
ISBN | : 1466514795 |
This work shows how the cellular Potts model can be used as a framework for model building and how extended models can achieve even better biological practicality, accuracy, and predictive power. It focuses on ways to integrate and interface the basic cellular Potts model at the mesoscopic scale with approaches that accurately model microscopic dynamics. These extensions are designed to create a nested and hybrid environment, where the evolution of a biological system is realistically driven by the constant interplay and flux of information between the different levels of description.
Author | : Wolfgang Alt |
Publisher | : Birkhäuser |
Total Pages | : 336 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 303488916X |
An interdisciplinary study explaining the dynamics underlying biological motion – one of the most obvious expressions of self-organization. Designed for a broad audience from bioscientists to applied mathematicians, this book considers possible synergetic mechanisms of interaction and cooperation on different microscopic levels.
Author | : Vittorio Cristini |
Publisher | : Cambridge University Press |
Total Pages | : 299 |
Release | : 2010-09-09 |
Genre | : Technology & Engineering |
ISBN | : 1139491504 |
Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.