Bagas31: ImageJ is a scientific image processing and analysis software that has many derivatives and variants, including ImageJ2, Fiji, and others. The original ImageJ has been in continuous development since 1997.
Functionality and extensibility. ImageJ allows you to perform various operations on images such as rotation, scaling, cropping, filtering, segmentation, measurement, analysis and visualization. You can work with different types of images, such as 8-bit, 16-bit, and 32-bit grayscale images or RGB color images. You can also work with 3D image stacks or 4D hyperstacks. ImageJ supports a variety of image formats, including TIFF, JPEG, PNG, GIF, BMP, and DICOM. ImageJ also allows you to extend your capabilities with macros and plugins, which you can create yourself or download from the Internet.
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Easy to use and portable. ImageJ has a simple and intuitive interface that is suitable for both beginners and advanced users. You can easily run the program without installation from any media or run it from your browser. You can also use helpful reference materials and training videos to help you master the program.
Compatibility and update. ImageJ is compatible with most Windows, Mac OS X and Linux operating systems. You can use the program on any computer with Java Runtime Environment (JRE) or Java Development Kit (JDK). You can also update the program online to get the latest versions and fixes.
Community and support. ImageJ has a large and active community of users and developers around the world. You can communicate with other users and developers through the image.sc mailing list or forum. You can also receive support from program author Wayne Rasband or other experts via email or phone.
Examples of using. ImageJ is widely used in various fields of science and engineering for image analysis. For example, you can use ImageJ to measure the area of cells or organelles, determine fluorescence intensity or the number of bacterial colonies, create 3D models of anatomical structures, or recognize objects in satellite imagery.
