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Book Cover
E-book

Title Biomedical visualisation. Volume 7 / Paul M. Rea, editor
Published Cham : Springer, 2020

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Description 1 online resource : illustrations
Series Advances in experimental medicine and biology, 0065-2598 ; 1262
Advances in experimental medicine and biology ; v. 1262.
Contents Intro -- Preface -- Acknowledgements -- About the Book -- Contents -- About the Editor -- Contributors -- 1: Virtual Anatomy Museum: Facilitating Public Engagement Through an Interactive Application -- 1.1 Introduction -- 1.1.1 Medical Museums -- 1.1.2 Digitisation -- 1.1.3 Virtual Museums -- 1.1.4 Aims and Objectives -- 1.2 Methods -- 1.2.1 Modelling the Museum -- 1.2.2 Models of the Specimens -- 1.2.2.1 Studio Set-Up and Photography Acquisition -- 1.2.2.2 Generation of Photogrammetric Models -- 1.2.3 Design of the Application -- 1.3 Results
1.3.1 Virtual Museums Can Facilitate Public Engagement -- 1.4 Discussion -- 1.4.1 Challenges of Creating Specimen Models -- 1.4.2 Implementation into Unity -- 1.5 Future Development and Conclusion -- References -- 2: eLearning and Embryology: Designing an Application to Improve 3D Comprehension of Embryological Structures -- 2.1 Introduction -- 2.1.1 Current Use of eLearning in Embryology and Histology -- 2.1.2 Problems and Advances in Digital Histology -- 2.2 Methods -- 2.2.1 Design -- 2.2.2 Development Phase -- 2.3 Evaluation -- 2.3.1 Participants -- 2.3.2 Apparatus
2.3.3 Experimental Procedure -- 2.3.4 Results -- 2.4 Discussion and Conclusion -- 2.5 The Modelling Method and Its Fitness for Purpose of Visualisation -- 2.6 Future Developments of 3D Reconstruction in Histology and Embryology -- References -- 3: Animated Guide to Represent a Novel Means of Gut-Brain Axis Communication -- 3.1 Introduction -- 3.1.1 Rationale -- 3.1.2 Research Aim -- 3.2 Literature Review -- 3.2.1 The Microbiome-Gut-Brain (MGB) Axis -- 3.2.1.1 Microbiome-Derived Carnitine Mimics (Hulme et al. 2020) -- 3.2.2 Learning Science with Animations
3.2.2.1 Multimedia Learning -- 3.2.2.2 Pros and Cons of Animation as a Learning Tool -- 3.2.2.3 Using Animation Efficiently -- 3.3 Materials and Methodology -- 3.3.1 Materials -- 3.3.1.1 Online Platforms -- 3.3.2 Design and Methods -- 3.3.3 Development -- 3.3.3.1 Segments -- 3.3.4 Production -- 3.3.4.1 Models -- 3.3.4.2 Animation -- 3.3.5 Post-production -- 3.3.5.1 After-Effects -- 3.3.5.2 Survey Design -- 3.3.6 Product Testing -- 3.3.6.1 Participants -- 3.3.6.2 Animation Distribution -- 3.4 Evaluation -- 3.4.1 Introduction -- 3.4.2 Methods -- 3.4.2.1 Manual Use
3.4.2.2 Participants -- 3.4.2.3 Apparatus -- 3.4.2.4 Design and Procedure -- 3.4.2.5 Results -- Knowledge -- Perceived Understanding -- Helpfulness of Media -- 3.4.3 Discussion -- 3.4.3.1 Knowledge -- 3.4.3.2 Perceived Understanding -- 3.4.3.3 Helpfulness of Media -- 3.4.4 Conclusion -- 3.5 Discussion and Conclusion -- 3.5.1 Key Findings -- 3.5.2 Contributions -- 3.5.3 Limitations -- 3.5.3.1 Population Validity -- 3.5.3.2 Construct Validity -- 3.5.3.3 Content Validity -- 3.5.3.4 Concurrent Validity -- 3.5.3.5 Pretesting -- 3.6 Conclusion -- References
Summary This edited book explores the use of technology to enable us to visualise the life sciences in a more meaningful and engaging way. It will enable those interested in visualisation techniques to gain a better understanding of the applications that can be used in visualisation, imaging and analysis, education, engagement and training. The reader will be able to explore the utilisation of technologies from a number of fields to enable an engaging and meaningful visual representation of the biomedical sciences, with a focus in this volume related to anatomy, and clinically applied scenarios. All chapters in this volume feature collaborative and innovative postgraduate research projects from graduate students of the MSc Medical Visualisation and Human Anatomy. This pioneering, world-leading postgraduate taught degree program is a joint partnership degree between the School of Life Sciences within the College of Medical, Veterinary and Life Sciences in the University of Glasgow, and the School of Simulation and Visualisation, The Glasgow School of Art. These chapters truly showcase the amazing and diverse technological applications that have been carried out as part of their research projects
Bibliography Includes bibliographical references
Subject Three-dimensional imaging in medicine.
Biomedical engineering.
Computer vision.
Biotechnology.
Diagnostic Imaging -- methods
Data Visualization
Imaging, Three-Dimensional
Biotechnology
biomedical engineering.
bioengineering.
Three-dimensional imaging in medicine
Computer vision
Bioinformatics
Biomedical engineering
Biotechnology
Computational biology
Form Electronic book
Author Rea, Paul (Paul M.)
ISBN 9783030439613
3030439615