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Computational Modeling in Tissue Engineering

Computational Modeling in Tissue Engineering
Kataloginformation
Feldname Details
Vorliegende Sprache eng
Hinweise auf parallele Ausgaben 37582426X Buchausg. u.d.T.: ‡Computational modeling in tissue engineering
ISBN 978-3-642-32562-5
Name Geris, Liesbet
T I T E L Computational Modeling in Tissue Engineering
Verlagsort Berlin ; Heidelberg
Verlag Springer
Erscheinungsjahr 2013
2013
Umfang Online-Ressource (XI, 442 p. 135 illus., 37 illus. in color, digital)
Reihe Studies in Mechanobiology, Tissue Engineering and Biomaterials ; 10
Notiz / Fußnoten Description based upon print version of record
Weiterer Inhalt Computational Modeling in Tissue Engineering; Preface; Contents; 144 In Vivo, In Vitro, In Silico: Computational Tools for Product and Process Design in Tissue Engineering; Abstract; 1…Introduction; 2…Developmental Engineering: A New Paradigm for Tissue Engineering; 3…Computational Tools for Product and Process Design in Tissue Engineering; 3.1 Computational Tools for Product Design; 3.2 Computational Tools for Process Design; 3.3 Computational Tools for the Study of the In Vivo Process; 4…Discussion; 5…Conclusion; Acknowledgments; References; Part I Computational Tools For Product Design. 141 Protein Modelling and Surface Folding by Limiting the Degrees of FreedomAbstract; 1…Introduction; 2…Model; 2.1 Constraints in the Standard Braid Theory; 2.2 Orientation of Protein Structures; 3…Computer Program; 4…Results; 4.1 310 Coil Protein; 4.2 alpha -Coil Protein; 4.3 Globular Proteins; 5…Discussion; 6…Conclusion; Acknowledgments; A.x(118). Appendix 1; A.x(118).0 NP; A.x(118). Appendix 2; A.x(118).0 Boundary Determination to Prevent Overlap; A.x(118). Appendix 3; A.x(118). Appendix 4; A.x(118). Appendix 5; A.x(118).0 B 1; A.x(118).0 B 2; A.x(118).0 B 3; A.x(118).0 B 4; A.x(118).0 B 5. References142 Adaptive Quasi-Linear Viscoelastic Modeling; Abstract; 1…Nonlinear Viscoelasticity in Biological Systems; 1.1 Overview of Phenomenological Nonlinear Viscoelastic Frameworks and Their Limitations; 2…Nonlinear and Quasi-Linear Viscoelasticity; 2.1 The Fung QLV Model; 2.2 The Generalized Fung QLV Model; 2.3 The Adaptive QLV Model; 2.3.1 Representation of the Adaptive QLV Model with Maxwell Elements; 2.3.2 Physical Interpretation of the Adaptive QLV Model; 3…Calibration Protocols for QLV Models; 3.1 Relaxation Tests with Multiple Amplitudes; 3.1.1 Adaptive QLV Model. 3.1.2 Generalized Fung QLV Model3.2 Incremental Relaxation Tests; 3.2.1 Adaptive QLV Model; 3.2.2 Generalized Fung QLV Model; 3.3 Single, Large Amplitude Ramp-and-Hold Test; 3.3.1 Adaptive QLV Model; 3.3.2 Fung QLV Model; 3.4 Incremental Ramp-and-Hold Protocol; 3.4.1 Adaptive QLV Model; 3.4.2 Generalized Fung Model; 4…Example of the Calibration and Evaluation of Nonlinear Viscoelastic Models: Reconstituted Collagen; 4.1 Test Protocol; 4.2 Calibration; 4.2.1 Adaptive QLV Model; 4.2.2 Generalized Fung QLV Model; 4.3 Assessment of Predictions; 4.3.1 Incremental Ramp Stresses. 4.3.2 Single, Large Amplitude Ramp-and-Hold Test4.4 Concluding Remarks; Acknowledgments; References; 139 Computational Modeling of Mass Transport and Its Relation to Cell Behavior in Tissue Engineering Constructs; Abstract; 1…Introduction; 2…General Mass Transport in Carriers; 2.1 Diffusion; 2.2 Convection; 2.3 Compression-Induced Mass Transport; 3…Oxygen; 4…Nutrients and Metabolites; 5…Signaling Molecules; 6…Discussion and Conclusions; References; 136 Computational Methods in the Modeling of Scaffolds for Tissue Engineering; Abstract; 1…Introduction. 2…Computational Structural Characterization of Scaffolds
Titelhinweis Buchausg. u.d.T.: ‡Computational modeling in tissue engineering
ISBN ISBN 978-3-642-32563-2
Klassifikation MQW
TEC009000
612.28
610.28
R856-857
ZS 5800
Kurzbeschreibung One of the major challenges in tissue engineering is the translation of biological knowledge on complex cell and tissue behavior into a predictive and robust engineering process. Mastering this complexity is an essential step towards clinical applications of tissue engineering. This volume discusses computational modeling tools that allow studying the biological complexity in a more quantitative way. More specifically, computational tools can help in: (i) quantifying and optimizing the tissue engineering product, e.g. by adapting scaffold design to optimize micro-environmental signals or by adapting selection criteria to improve homogeneity of the selected cell population;(ii) quantifying and optimizing the tissue engineering process, e.g. by adapting bioreactor design to improve quality and quantity of the final product; and (iii) assessing the influence of the in vivo environment on the behavior of the tissue engineering product, e.g. by investigating vascular ingrowth.The book presents examples of each of the above mentioned areas of computational modeling. The underlying tissue engineering applications will vary from blood vessels over trachea to cartilage and bone. For the chapters describing examples of the first two areas, the main focus is on (the optimization of) mechanical signals, mass transport and fluid flow encountered by the cells in scaffolds and bioreactors as well as on the optimization of the cell population itself. In the chapters describing modeling contributions in the third area, the focus will shift towards the biology, the complex interactions between biology and the micro-environmental signals and the ways in which modeling might be able to assist in investigating and mastering this complexity. The chapters cover issues related to (multiscale/multiphysics) model building, training and validation, but also discuss recent advances in scientific computing techniques that are needed to implement these models as well as new tools that can be used to experimentally validate the computational results.
1. Schlagwortkette Tissue Engineering
Produktentwicklung
Prozessentwicklung <Technik>
Biokompatibilität
Computersimulation
Aufsatzsammlung
Aufsatzsammlung
ANZEIGE DER KETTE Tissue Engineering -- Produktentwicklung -- Prozessentwicklung -- Biokompatibilität -- Computersimulation -- Aufsatzsammlung -- Aufsatzsammlung
SWB-Titel-Idn 375377204
Signatur Springer E-Book
Bemerkungen Elektronischer Volltext - Campuslizenz
Elektronische Adresse $uhttp://dx.doi.org/10.1007/978-3-642-32563-2
Internetseite / Link Volltext
Siehe auch Inhaltsverzeichnis
Siehe auch Inhaltstext
Siehe auch Volltext
Siehe auch Cover
Kataloginformation500177420 Datensatzanfang . Kataloginformation500177420 Seitenanfang .
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