The NIH Image and ImageJ software have been pivotal in scientific image analysis for over 25 years. Developed by Wayne Rasband, NIH Image was initially created for the Macintosh computer in 1987, aiming to provide a low-cost, accessible image analysis tool for scientists. It was later renamed ImageJ, which was developed to support a broader range of operating systems, including Windows and Unix, through the Java programming language. ImageJ's success is attributed to its open-source nature, user-driven development, and a flexible design that allows for extensive plugin and macro support. The software's core principles emphasize simplicity, extensibility, and community involvement, enabling it to adapt to new technologies and user needs over time. ImageJ's development was not officially planned by the NIH but rather emerged from the need of the scientific community. Rasband's work on NIH Image laid the foundation for ImageJ, which evolved through collaborative efforts and community contributions. The software's ability to handle various image formats, integrate with other tools, and support a wide range of applications has made it a cornerstone in biological imaging. ImageJ has also fostered a vibrant community, with numerous plugins and macros developed by users to extend its functionality. This community-driven approach has allowed ImageJ to remain relevant and adaptable, even as new technologies and software emerge. The software's continued growth and widespread use highlight its importance in scientific research, education, and industry. Despite the challenges of maintaining a software project, Rasband's dedication and the community's support have ensured ImageJ's enduring success. The future of ImageJ remains promising, with ongoing efforts to enhance its capabilities and expand its applications across diverse scientific fields.The NIH Image and ImageJ software have been pivotal in scientific image analysis for over 25 years. Developed by Wayne Rasband, NIH Image was initially created for the Macintosh computer in 1987, aiming to provide a low-cost, accessible image analysis tool for scientists. It was later renamed ImageJ, which was developed to support a broader range of operating systems, including Windows and Unix, through the Java programming language. ImageJ's success is attributed to its open-source nature, user-driven development, and a flexible design that allows for extensive plugin and macro support. The software's core principles emphasize simplicity, extensibility, and community involvement, enabling it to adapt to new technologies and user needs over time. ImageJ's development was not officially planned by the NIH but rather emerged from the need of the scientific community. Rasband's work on NIH Image laid the foundation for ImageJ, which evolved through collaborative efforts and community contributions. The software's ability to handle various image formats, integrate with other tools, and support a wide range of applications has made it a cornerstone in biological imaging. ImageJ has also fostered a vibrant community, with numerous plugins and macros developed by users to extend its functionality. This community-driven approach has allowed ImageJ to remain relevant and adaptable, even as new technologies and software emerge. The software's continued growth and widespread use highlight its importance in scientific research, education, and industry. Despite the challenges of maintaining a software project, Rasband's dedication and the community's support have ensured ImageJ's enduring success. The future of ImageJ remains promising, with ongoing efforts to enhance its capabilities and expand its applications across diverse scientific fields.