Cellular potts models : multiscale extensions and biological applications
by
 
Scianna, Marco., author.

Title
Cellular potts models : multiscale extensions and biological applications

Author
Scianna, Marco., author.

ISBN
9780429096129

Physical Description
1 online resource (xxii, 279 pages)

Series
Chapman & Hall/CRC mathematical & computational biology
 
Chapman and Hall/CRC mathematical & computational biology series.

Contents
1. Basic cellular potts model and applications -- 2. Extended cellular potts model and applications -- 3. Appendix.

Abstract
All biological phenomena emerge from an intricate interconnection of multiple processes occurring at different levels of organization: namely, at the molecular, the cellular and the tissue level, see Figure 1. These natural levels can approximately be connected to a microscopic, mesoscopic, and macroscopic scale, respectively. The microscopic scale refers to those processes that occur at the subcellular level, such as DNA synthesis and duplication, gene dynamics, activation of receptors, transduction of chemical signals, diffusion of ions and transport of proteins. The mesoscopic scale, on the other hand, can refer to cell-level phenomena, such as adhesive interactions between cells or between cells and ECM components, cell duplication and death and cell motion. The macroscopic scale finally corresponds to those processes that are typical of multicellular behavior, such as population dynamics, tissue mechanics and organ growth and development. It is evident that research in biology and medicine needs to work in a multiscale fashion. This brings many challenging questions and a complexity that can not be addressed in the classical way, but can take advantage of the increasing collaboration between natural and exact sciences (for more detailed comments the reader is referred to [90, 262]). On the other hand, the recent literature provides evidence of the increasing attention of the mathematical, statistical, computational and physical communities toward biological and biomedical modeling, consequence of the successful results obtained by a multidisciplinary approach to the Life Sciences problems-- Provided by publisher.

Subject Term
Biomathematics.
 
Cytology.
 
Biological models.
 
Stochastic processes.

Added Author
Preziosi, Luigi.

Electronic Access
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LibraryMaterial TypeItem BarcodeShelf Number[[missing key: search.ChildField.HOLDING]]Status
Online LibraryE-Book540714-1001QH581.2 .S35 2013CRC E-Books