This book provides an in-depth exploration of scientific photography. Highlighting the best practices needed to make, distribute, and preserve scientific visual information using digital photographic methods and technologies, it offers solutions to some of the biggest challenges facing photographers.
Written by a team of international, award-winning image makers with over 300 years of cumulative experience, this comprehensive resource explains the foundations used, the tools required, and the steps to needed for creating the optimal photograph in a range of environments and circumstances. Topics covered include:
• ethical practices
• aerial photography
• close-up and macro photography
• computational photography
• field photography
• geological photography
• imaging with invisible spectrums
• photographing small animals in captivity
• time-based imaging
• image processing in science
Showcasing modern methods, this book equips readers with the skills needed to capture and process the best image possible.
Designed for basic and intermediate photographers, Natural Science Imaging and Photography exists as an essential contemporary handbook.
Preface: Why I Wrote this Book
About the Authors
Part I: Industry Expectations and Attitudes1. Why Best Practices as an Approach
2. Optimizing Imaging Outcomes
3. The Image in Science
4. Ethical Practices
James Hayden
5. The Subject of the Photograph
Part II: Tools and Technology Foundations6. Cameras and Photographic Practices
7. Light and Lenses
8. A Deeper Dive into Digital Devices
9. Lighting for Natural Science Photography
Part III: Applications 10. Aerial Photography
Keith Mancini
11. Close-Up and Macro Photography
12. Computational Photography
13. Field Photography
Adrian Davies
14. Fossils, Minerals, and Geological Samples
Norman Barker
15. Imaging with Invisible Spectrums
Adrian Davies
16. Contemporary Light Microscopy Practices
17. Photographing Small Animals in Captivity
Charles Hedgcock
18. Time Based Imaging
Ted Kinsman
Part IV: After Capture Post Production
19. Image Processing in Science
Staffan Larsson