An Introduction to Biology, Instrumentation, Experiments, and Data Analysis for Scientists and Engineers
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Quantitative bioimaging is a broad interdisciplinary field that exploits tools from biology, chemistry, optics, and statistical data analysis for the design and implementation of investigations of biological processes. Instead of adopting the traditional approach of focusing on just one of the component disciplines, this textbook provides a unique introduction to quantitative bioimaging that presents all of the disciplines in an integrated manner. The wide range of topics covered include basic concepts in molecular and cellular biology, relevant aspects of antibody technology, instrumentation and experimental design in fluorescence microscopy, introductory geometrical optics and diffraction theory, and parameter estimation and information theory for the analysis of stochastic data.
Key Features include:
- Comprises four parts, the first of which provides an overview of the topics that are developed from fundamental principles to more advanced levels in the other parts.
- Presents in the second part an in-depth introduction to the relevant background in molecular and cellular biology and in physical chemistry, which should be particularly useful for students without a formal background in these subjects.
- Provides in the third part a detailed treatment of microscopy techniques and optics, again starting from basic principles.
- Introduces in the fourth part modern statistical approaches to the determination of parameters of interest from microscopy data, in particular data generated by single molecule microscopy experiments.
- Uses two topics related to protein trafficking (transferrin trafficking and FcRn-mediated antibody trafficking) throughout the text to motivate and illustrate microscopy techniques.
An online appendix providing the background and derivations for various mathematical results presented or used in the text is available at http://www.routledge.com/9781138598980.
Table of Contents
1. Introduction, Then and Now 2. Introduction to Two Problems in Cellular Biology 3. Basics of Microscopy Techniques 4. Introduction to Image Formation and Analysis 5. From genes to proteins 6. Antibodies 7. Cloning of genes for protein expression 8. Principles of Fluorescence 9. Cells 10. Microscope Designs 11. Microscopy Experiments 12. Detectors 13. Geometrical Optics 14. Diffraction 15. From Photons to Image: Data Models 16. Parameter Estimation 17. Fisher Information and Cramér–Rao Lower Bound 18. Localizing Objects and Single Molecules in Two Dimensions 19. Localizing Objects and Single Molecules in Three Dimensions 20. Resolution 21. Deconvolution 22. Spatial Statistics. Online Appendices.
Raimund J. Ober received the Ph.D. degree in Engineering from Cambridge University, Cambridge, U.K., in 1987. From 1987 to 1990, he was a Research Fellow at Girton College and the Engineering Department, Cambridge University. In 1990, he joined the University of Texas at Dallas, Richardson, where he was Professor in the Programs of Mathematical Sciences and the Department of Engineering and Adjunct Professor at the University of Texas Southwestern Medical Center, Dallas. From 2014 to 2018 he was Professor in the Department of Bioengineering and the Department of Molecular and Cellular Medicine at Texas A&M University. He is currently Professor for Bioimaging at the University of Southampton, UK.
His research interests include the development of microscopy techniques for cellular investigations, in particular at the single molecule level, the study of cellular trafficking pathways using microscopy investigations, and signal/image processing of bioengineering data.
He is President of the Quantitative BioImaging Society, a Fellow of the SPIE, and a recipient of the Royal Society Wolfson Research Merit Award.
E. Sally Wardreceived the Ph.D. degree from the Department of Biochemistry, Cambridge University, Cambridge, U.K., in 1985. From 1985 to 1987, she was a Research Fellow at Gonville and Caius College while working at the Department of Biochemistry, Cambridge University. From 1988 to 1990, she held the Stanley Elmore Senior Research Fellowship at Sidney Sussex College and carried out research at the MRC Laboratory of Molecular Biology, Cambridge. In 1990, she joined the University of Texas Southwestern Medical Center, Dallas, where she rose to Professor in the Department of Immunology and held the Paul and Betty Meek-FINA Professorship in Molecular Immunology. She is currently Professor in the Centre for Cancer Immunology and Director for Translational Immunology at the University of Southampton, UK.
Her research interests include antibody engineering, molecular mechanisms that lead to autoimmune disease, questions related to the in vivo dynamics of antibodies, and the use of microscopy techniques for the study of antibody trafficking in cells.
She is recognized for her pioneering research related to the biology of the neonatal Fc receptor, FcRn, and the development of therapeutics with novel mechanisms of action. She identified FcRn as the receptor that regulates the levels and persistence of antibodies of the IgG class in the body. This was followed by extensive mechanistic studies of FcRn function at the molecular and cellular levels. The insights gleaned from these analyses led to the generation of biotherapeutics that exploit FcRn biology. Specifically, Sally has developed approaches to extend the longevity of prophylactic/therapeutic antibodies and to reduce the levels of (pathogenic) antibodies. These technologies have had major impact in biopharma, leading to several first-in-class antibody-based therapeutics that address significant unmet medical needs for the treatment of autoimmunity and infectious disease.
She is a recipient of the Royal Society Wolfson Research Merit Award. In 2022 she was elected a Fellow of the Royal Society.
Jerry Chao is principal scientist at Astero Technologies LLC, College Station, Texas, a company that specializes in algorithm and software design and development for image and data analysis, particularly in the context of microscopy applications. He received his B.S. and M.S. degrees in computer science and a Ph.D. degree in electrical engineering from the University of Texas at Dallas. He carried out postdoctoral research in the Department of Electrical Engineering, University of Texas at Dallas and, subsequently, the Department of Biomedical Engineering, Texas A&M University. His research has focused on the modeling and quantitative analysis of scientific data and the design and development of software for bioengineering applications.