The redesigned data model supports arbitrarily large, N-dimensional datasets, which are increasingly common in modern image acquisition. Its robust new plugin framework allows everything from image formats, to scripting languages, to visualization to be extended by the community. It emphasizes integration with external applications to maximize interoperability. It separates concerns, fully decoupling the data model from the user interface. This next-generation ImageJ, called “ImageJ2” in places where the distinction matters, provides a host of new functionality. We rewrote the entire ImageJ codebase, engineering a redesigned plugin mechanism intended to facilitate extensibility at every level, with the goal of creating a more powerful tool that continues to serve the existing community while addressing a wider range of scientific requirements. However, a rapidly growing user base, diverging plugin suites, and technical limitations have revealed a clear need for a concerted software engineering effort to support emerging imaging paradigms, to ensure the software’s ability to handle the requirements of modern science. Enabling such a diversity of contributors has resulted in a large community that spans the biological and physical sciences. Due to its ease of use, recordable macro language, and extensible plug-in architecture, ImageJ enjoys contributions from non-programmers, amateur programmers, and professional developers alike. ImageJ is an image analysis program extensively used in the biological sciences and beyond.
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January 2023
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