Editors:
- Promotes understanding of three interdisciplinary approaches to studying the eye: experimental methods, data-driven modeling, and physically-based modeling
- Provides an overview of the state-of-the-art in modeling ocular fluid dynamics
- Offers a truly collaborative approach to ophthalmology, with chapters written by mathematicians, engineers, clinical scientists, and more
Part of the book series: Modeling and Simulation in Science, Engineering and Technology (MSSET)
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Table of contents (24 chapters)
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Front Matter
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Introduction
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Front Matter
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Vitreous Humor
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Front Matter
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Tear Film
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Front Matter
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About this book
Ocular Fluid Dynamics is ideal for current and future graduate students in applied mathematicsand ophthalmology who wish to explore the field by investigating open questions, experimental technologies, and mathematical models. It will also be a valuable resource for researchers in mathematics, engineering, physics, computer science, chemistry, ophthalmology, and more.
Keywords
- Ocular Fluid Dynamics
- Ocular fluid dynamics book
- Ocular fluid flow
- Fluid dynamics
- Ophthalmology
- Blow Flow eye
- Aqueous Humor
- Vitreous humor
- Tear film
- Cerebrospinal Fluid
- Modeling fluid flow
- Ocular Biophysics
- Mathematical Modeling in Ophthalmology
- Computational Fluid Dynamics
- Dynamics of Tear Film
- Ocular Blood Flow
Editors and Affiliations
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Department of Math Sciences, Indiana University – Purdue University I, Indianapolis, USA
Giovanna Guidoboni
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Icahn School of Medicine at Mount Sinai, New York, USA
Alon Harris
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Department of Mathematics, Polytechnic University of Milan, Milan, Italy
Riccardo Sacco
Bibliographic Information
Book Title: Ocular Fluid Dynamics
Book Subtitle: Anatomy, Physiology, Imaging Techniques, and Mathematical Modeling
Editors: Giovanna Guidoboni, Alon Harris, Riccardo Sacco
Series Title: Modeling and Simulation in Science, Engineering and Technology
DOI: https://doi.org/10.1007/978-3-030-25886-3
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-25885-6Published: 06 December 2019
Softcover ISBN: 978-3-030-25888-7Published: 04 January 2021
eBook ISBN: 978-3-030-25886-3Published: 25 November 2019
Series ISSN: 2164-3679
Series E-ISSN: 2164-3725
Edition Number: 1
Number of Pages: XIV, 612
Number of Illustrations: 37 b/w illustrations, 140 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Physiological, Cellular and Medical Topics, Computational Science and Engineering, Soft and Granular Matter, Complex Fluids and Microfluidics