In the previous sections, we looked at ways to measure certain aspects of our images, such as velocity and length. This section will look at a different aspect of measurements that involve the colocalization of different signals. Colocalization means that two (or more) objects are within proximity of each other. Whenever two signals overlap in space, we can conclude that they are at the same location, within the boundaries of the resolution that an imaging system allows us. In biology, the localization of two labeled structures or proteins provides clues to whether the protein is contained within a structure or whether it moves to a certain location after being stimulated. For dynamic structures such as cells, we can observe a change in the amount of colocalization, depending on time or stimulation.
Image Processing with ImageJ - Second Edition
Image Processing with ImageJ - Second Edition
Overview of this book
Advances in image processing have been vital for the scientific and technological communities, making it possible to analyze images in greater detail than ever before. But as images become larger and more complex, advanced processing techniques are required. ImageJ is built for the modern challenges of image processing – it’s one of the key tools in its development, letting you automate basic tasks so you can focus on sophisticated, in depth analysis.
This book demonstrates how to put ImageJ into practice. It outlines its key features and demonstrates how to create your own image processing applications using macros and ImageJ plugins. Once you’ve got to grips with the basics of ImageJ, you’ll then discover how to build a number of different image processing solutions. From simple tasks to advanced and automated image processing, you’ll gain confidence with this innovative and powerful tool – however and whatever you are using it for.
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Image Processing with ImageJ - Second Edition
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Table of Contents (17 chapters)
Image Processing with ImageJ Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Free Chapter
Getting Started with ImageJ
Basic Image Processing with ImageJ
Advanced Image Processing with ImageJ
Image Segmentation and Feature Extraction with ImageJ
Basic Measurements with ImageJ
Developing Macros in ImageJ
Explanation of ImageJ Constructs
Anatomy of ImageJ Plugins
Creating ImageJ Plugins for Analysis
Where to Go from Here?
Index
Customer Reviews