#Format papier de infix pro software
The bioimage informatics field is fortunate to have a wide range of software tools available in both commercial and open source arenas. Key motivations for the development of ImageJ2 include:Īny time a development effort of this scale is undertaken on an existing tool, it is worth evaluating its impact and the decision to invest such resources. As such, we have developed ImageJ2: a total redesign of the previous incarnation (hereafter “ImageJ 1.x”), which builds on the original’s successful qualities while improving its core architecture to encompass the scientific demands of the decades to come. Such restructuring helps the program to remain accessible to newcomers, powerful enough for experts, and relevant to the demands of its ever-growing community. After such an extended period of sustained growth, any software project benefits from a subsequent period of scrutiny and refactoring ImageJ is no exception. Over the past twenty years, the program has evolved far beyond its originally intended scope. Since its initial release in 1997, ImageJ has proven paramount in many scientific endeavors and projects, particularly those within the life sciences. ImageJ is a powerful, oft-referenced platform for image processing, developed by Wayne Rasband at the National Institutes of Health (NIH). Despite the scope of these changes, backwards compatibility is maintained such that this new functionality can be seamlessly integrated with the classic ImageJ interface, allowing users and developers to migrate to these new methods at their own pace. 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.