ImageJ2: ImageJ for the next generation of scientific image data

ImageJ2: ImageJ for the next generation of scientific image data

3 Nov 2017 | Curtis T Rueden, Johannes Schindelin, Mark C Hiner, Barry E DeZonia, Alison E Walter, Ellen T Arena, Kevin W Eliceiri
ImageJ2 is a significant redesign of the original ImageJ software, aiming to address the growing needs of scientific image data and analysis. The project was driven by the need to support emerging imaging paradigms, ensure compatibility with modern scientific requirements, and enhance the software's extensibility and interoperability. Key features of ImageJ2 include: 1. **Extensibility**: A robust plugin framework that allows for the addition of new functionalities, including image formats, scripting languages, and visualization tools. This framework is designed to be flexible and easy to use, enabling both professional developers and non-programmers to contribute. 2. **Data Model**: The data model supports N-dimensional datasets, which are increasingly common in modern image acquisition. This allows for the handling of complex and high-dimensional data structures. 3. **Interoperability**: The software is designed to integrate seamlessly with external applications and toolkits, facilitating data exchange and interoperability. 4. **Performance**: ImageJ2 aims to maintain high performance while handling large datasets and complex algorithms, ensuring that it can scale effectively on various hardware platforms. 5. **Backwards Compatibility**: The new features are designed to be backward compatible with the original ImageJ, allowing users to gradually transition to the new version without disrupting existing workflows. 6. **Community-Oriented**: The project emphasizes community engagement and contribution, providing unified online resources and a transparent development process to foster collaboration and reproducibility. 7. **Core Components**: The software stack is built on four main domains: SciJava Common, ImgLib2, SCIFIO, and ImageJ Ops. Each domain contributes to different aspects of the software, from core functionalities to advanced image processing operations. 8. **User Interface**: The user interface is designed to be intuitive and accessible, while also providing the flexibility for customization and extension. ImageJ2 represents a significant advancement in image processing software, aiming to meet the evolving needs of scientific research and to foster a broader and more diverse community of users and developers.ImageJ2 is a significant redesign of the original ImageJ software, aiming to address the growing needs of scientific image data and analysis. The project was driven by the need to support emerging imaging paradigms, ensure compatibility with modern scientific requirements, and enhance the software's extensibility and interoperability. Key features of ImageJ2 include: 1. **Extensibility**: A robust plugin framework that allows for the addition of new functionalities, including image formats, scripting languages, and visualization tools. This framework is designed to be flexible and easy to use, enabling both professional developers and non-programmers to contribute. 2. **Data Model**: The data model supports N-dimensional datasets, which are increasingly common in modern image acquisition. This allows for the handling of complex and high-dimensional data structures. 3. **Interoperability**: The software is designed to integrate seamlessly with external applications and toolkits, facilitating data exchange and interoperability. 4. **Performance**: ImageJ2 aims to maintain high performance while handling large datasets and complex algorithms, ensuring that it can scale effectively on various hardware platforms. 5. **Backwards Compatibility**: The new features are designed to be backward compatible with the original ImageJ, allowing users to gradually transition to the new version without disrupting existing workflows. 6. **Community-Oriented**: The project emphasizes community engagement and contribution, providing unified online resources and a transparent development process to foster collaboration and reproducibility. 7. **Core Components**: The software stack is built on four main domains: SciJava Common, ImgLib2, SCIFIO, and ImageJ Ops. Each domain contributes to different aspects of the software, from core functionalities to advanced image processing operations. 8. **User Interface**: The user interface is designed to be intuitive and accessible, while also providing the flexibility for customization and extension. ImageJ2 represents a significant advancement in image processing software, aiming to meet the evolving needs of scientific research and to foster a broader and more diverse community of users and developers.
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Understanding ImageJ2%3A ImageJ for the next generation of scientific image data