The ImageJ wiki is a community-edited knowledge base on topics relating to ImageJ, a public domain program for processing and analyzing scientific images, and its ecosystem of derivatives and variants, including ImageJ2, Fiji, and others.
ImageJ is an open-source image processing program designed for scientific multidimensional images. It is widely used in various fields of science and engineering for image analysis and processing. ImageJ is highly extensible, with thousands of plugins and macros available for a wide range of image processing tasks.
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Thousands of plugins and macros available for extending functionality.
Runs on any computer with a Java 5 or later virtual machine, including Windows, macOS, and Linux.
Supports image stacks, a series of images that share a single window.
Comprehensive set of tools for image analysis, including measurement, labeling, and filtering.
User interface can be customized with plugins and macros to fit specific needs.
Capable of batch processing multiple images automatically.
Supports 3D visualization and analysis of image stacks.
Supports scripting in several languages for automation and custom analysis.
Large and active community providing support, plugins, and tutorials.
Extensive documentation and tutorials available for users of all levels.
Originally developed by Wayne Rasband at the National Institutes of Health.
Released under a BSD license, allowing for free use and modification.
A significant portion of its functionality comes from community-contributed plugins and macros.
Fiji is a distribution of ImageJ that includes many useful plugins pre-installed and configured.
Widely used in educational settings for teaching image processing and analysis.
Used in a wide range of research fields, including biology, medicine, and materials science.
Regular updates and new releases keep the software up-to-date with the latest in image processing technology.
Security headers report is a very important part of user data protection. Learn more about http headers for imagej.net