Population Balances in Biomedical Engineering

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>The population balance modeling is a statistical approach for achieving accurate counts of any populations. It is an efficient way of counting traffic on roadways as well as to bacteria in lakes. In the biomedical world, it is used to count cell populations for the creation of biomaterials. Despite their undisputed accuracy, they have been underutilized for design and control purposes due to two main reasons: a) they are hard to solve and b) the functions that describe single-cell mechanisms and appear as parameters in these models are typically unknown.

List of contents

PREFACE

NOMENCLATURE

Chapter 1: Introduction

Chapter 2: Unstructured PBMs

Chapter 3: Steady-State Solutions

Chapter 4: Transient Solutions

Chapter 5: Cell Cycle Synchrony

Chapter 6: Growth by Branching

Chapter 7: Alternative Formulations

BIBLIOGRAPHY

INDEX

About the author

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Summary

The process of separating and classifying individual cell populations is a difficult task faced by engineers and scientists when creating biomaterials. This resource focuses on overcoming obstacles to help researchers and scientists build computer models that accurately approximate properties and classification of different populations.

Product details

• Authors: Martin Hjortso, Martin A. Hjortso
• Publisher: McGraw-Hill
• Languages: English
• Product format: Hardback
• Released: 16.10.2005
• EAN: 9780071447683
• ISBN: 978-0-07-144768-3
• Dimensions: 152 mm x 231 mm x 20 mm
• Weight: 450 g
• Illustrations: Illustrationen, nicht spezifiziert
• Series: McGraw-Hill's Biomedical Engin; McGraw-Hill's Biomedical Engin
• Subjects: Natural sciences, medicine, IT, technology > Biology > Miscellaneous; Zellbiologie (Zytologie), Ingenieurswesen, Maschinenbau allgemein, TECHNOLOGY & ENGINEERING / Engineering (General), SCIENCE / Life Sciences / Cell Biology, MEDICAL / Allied Health Services / Medical Technology, Medical / Nursing, TECHNOLOGY & ENGINEERING / Biomedical, Biomedical engineering, Biomedical engineering / Medical engineering