The project developer, Wayne Rasband, retired from the Research Services Branch of the NIH's National Institute of Mental Health in 2010, but continues to develop the software. The source code for ImageJ is freely available from the website. Downloadable distributions are available for Microsoft Windows, the classic Mac OS, macOS, Linux, and the Sharp Zaurus PDA. ImageJ can be run as an online applet, a downloadable application, or on any computer with a Java 5 or later virtual machine. ImageJ's plugin architecture and built-in development environment has made it a popular platform for teaching image processing. User-written plugins make it possible to solve many image processing and analysis problems, from three-dimensional live-cell imaging to radiological image processing, multiple imaging system data comparisons to automated hematology systems. Custom acquisition, analysis and processing plugins can be developed using ImageJ's built-in editor and a Java compiler. ImageJ was designed with an open architecture that provides extensibility via Java plugins and recordable macros. Its first version, ImageJ 1.x, is developed in the public domain, while ImageJ2 and the related projects SciJava, ImgLib2, and SCIFIO are licensed with a permissive BSD-2 license. Please contact the moderators of this subreddit if you have any questions or concerns.ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation (LOCI, University of Wisconsin). I am a bot, and this action was performed automatically. If someday your work gets published, show it off here! That's one use of the "Research" post flair. "Time is the most precious gift in our possession, for it is the most irrevocable." ~ DB Remember that "free help" costs those who help:Īside from Automoderator, those responding to you are real people, giving up some of their time to help you. Karma is a small way to say "thanks" and "this was helpful". Upvote those who contribute to the discussion. (See: xkcd 979)Ĭonsider saying "thank you" in comment replies to those who helped. People from the future may be stuck trying to answer the same question. If you figure out the answer for yourself, please post it! Never delete your post, even if it has not received a response.ĭon't switch over to PMs or email. Respond when helpful users ask follow-up questions, even if the answer is "I'm not sure". Image analysis is interdisciplinary, so the more general the terminology, the more people who might be able to help.īe thorough in outlining the question(s) that you are trying to answer.Ĭlearly explain what you are trying to learn, not just the method used, to avoid the XY problem. Good places to upload include:, , & Īvoid discipline-specific terminology ("jargon"). Screenshots (to help identify issues with tools or features) Reference Images (taken from published papers)Īnnotated Mock-ups (showing what features you are trying to measure) Images give everyone a chance to understand the problem.Įxample Images (what you want to analyze) Notes on Quality Questions & Productive Participation
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