The software is primarily targeted at researchers with minimal computer skills, but because ImageJ functionality can be easily extended with plugins, it has also been attractive for researchers with software development skills. Yes, with the SlideJ plugin Level of skills: Unlike in ImageJ, these plugins are curated and organized in categories in the plugin menu, making them more focused and easier to use.
Subsequently, other advanced plugins for life science image analysis joined Fiji. The Fiji project was created to support the installation and maintenance of one of the more complex ImageJ plugins, TrakEM2, which provides comprehensive solutions for management, registration, segmentation, and annotation of large electron microscopy data sets. It is a “ready-to-use” bundle of ImageJ plugins for use in life sciences. The ImageJ user community is large and active and one can ask questions and get feedback on the forum.įiji is a distribution of ImageJ. There are also links to many presentations and key-note lectures about ImageJ. The software website provides tutorials and the software can be downloaded here. The plugin’s intended use is mainly rapid prototyping and testing of processing algorithms on digital slides aimed at research. To solve it, a plugin called SlideJ was developed. However, when it comes to WSI, not the format but the size of the image is the problem.
ImageJ is compatible with over 150 different biological image formats called the Bio-Formats, WSI included. Many of them have a simple graphical user interface (GUI), but some require programming skills to use. Over the years a large set of ImageJ plugins, covering most areas of biological image analysis has been developed. For use in a regulated environment, a separate validation and verification would be required by the end user. Even though the program is so widely used, ImageJ is an experimental system and NIH does not assume any responsibility for its use by other parties. ImageJ is probably the best known and longest-lived open source software for biomedical image analysis. ImageJ is a Java-based image processing program developed as a collaboration between the National Institutes of Health ( NIH) and Laboratory for Optical and Computational Instrumentation ( LOCI) at the University of Wisconsin.
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