Fiji is an open-source distribution of the popular ImageJ software, designed for biological image analysis. It combines powerful software libraries with scripting languages to enable rapid prototyping of image processing algorithms. Fiji facilitates the transformation of novel algorithms into ImageJ plugins, which can be shared with users through an integrated update system. The platform aims to foster collaboration between computer scientists and biologists, providing a robust ecosystem for developing and distributing innovative solutions for biological image analysis. Fiji supports a wide range of scripting languages, including Jython, Clojure, Javascript, JRuby, and Beanshell, making it accessible to a broad user base. It also includes ImgLib, a library for type-, dimension-, and storage-independent representation of image data, enabling high-performance algorithms. Fiji's plugins are well-documented and integrated, allowing users to create complex analysis pipelines. The platform has gained international recognition and is used in major academic research centers worldwide. Fiji strikes a balance between usability, performance, and flexibility, making it a unique tool in the landscape of biological image analysis.Fiji is an open-source distribution of the popular ImageJ software, designed for biological image analysis. It combines powerful software libraries with scripting languages to enable rapid prototyping of image processing algorithms. Fiji facilitates the transformation of novel algorithms into ImageJ plugins, which can be shared with users through an integrated update system. The platform aims to foster collaboration between computer scientists and biologists, providing a robust ecosystem for developing and distributing innovative solutions for biological image analysis. Fiji supports a wide range of scripting languages, including Jython, Clojure, Javascript, JRuby, and Beanshell, making it accessible to a broad user base. It also includes ImgLib, a library for type-, dimension-, and storage-independent representation of image data, enabling high-performance algorithms. Fiji's plugins are well-documented and integrated, allowing users to create complex analysis pipelines. The platform has gained international recognition and is used in major academic research centers worldwide. Fiji strikes a balance between usability, performance, and flexibility, making it a unique tool in the landscape of biological image analysis.