Everything about ImageJ
Java-based image processing program
ImageJ is a Java-based image processing program developed at the National Institutes of Health and the Laboratory for Optical and Computational Instrumentation. 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. ImageJ was designed with an open architecture that provides extensibility via Java plugins and recordable macros. Custom acquisition, analysis and processing plugins can be developed using ImageJ's built-in editor and a Java compiler. 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. ImageJ's plugin architecture and built-in development environment has made it a popular platform for teaching image processing. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: ImageJA 5-minute orientation
- Skim a recent paper: Real-time image denoising of mixed Poisson–Gaussian noise in fluorescence microscopy images using ImageJInfluential work since 2022
- Pick up a classic book: Digitale BildverarbeitungThe most-reprinted book on the subject
- Read the landmark paper: NIH Image to ImageJ: 25 years of image analysisCited 63,631 times
- Go sideways: Fiji (software)A closely related topic
- Go sideways: Orthanc (server)A closely related topic
🏆 Landmark papers (most cited)
NIH Image to ImageJ: 25 years of image analysis
ImageJ2: ImageJ for the next generation of scientific image data
The ImageJ ecosystem: An open platform for biomedical image analysis
BoneJ: Free and extensible bone image analysis in ImageJ
ImageJ for Microscopy
ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging
MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ
Quantitative Analysis of Histological Staining and Fluorescence Using ImageJ
🆕 Influential since 2022
Real-time image denoising of mixed Poisson–Gaussian noise in fluorescence microscopy images using ImageJ
JIPipe: visual batch processing for ImageJ
PyImageJ: A library for integrating ImageJ and Python
Basic Image Analysis and Manipulation in ImageJ/Fiji
EVAnalyzer: High content imaging for rigorous characterisation of single extracellular vesicles using standard laboratory equipment and a new open‐source ImageJ/Fiji plugin
📚 Books worth reading
Digitale BildverarbeitungWilhelm Burger, Mark James Burge · 2005
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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