Back ImageJ German ImageJ Spanish ایمج جی Persian ImageJ French ImageJ Italian ImageJ Japanese ImageJ Lithuanian ImageJ Portuguese ImageJ Russian ImageJ Chinese

ImageJ

ImageJ
Developer(s)Wayne Rasband (retired from NIH)
Stable release
1.54p[1] Edit this on Wikidata / 18 February 2025
Repository
Operating systemAny (Java-based)
TypeImage processing
LicensePublic Domain, BSD-2
Websiteimagej.net

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).[2][3] 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.[4] ImageJ was designed with an open architecture that provides extensibility via Java plugins and recordable macros.[5] 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[6] to radiological image processing,[7] multiple imaging system data comparisons[8] to automated hematology systems.[9] ImageJ's plugin architecture and built-in development environment has made it a popular platform for teaching image processing.[10][11]

ImageJ can be run as an online applet, a downloadable application, or on any computer with a Java 5 or later virtual machine. Downloadable distributions are available for Microsoft Windows, the classic Mac OS, macOS, Linux, and the Sharp Zaurus PDA. The source code for ImageJ is freely available.[12]

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.

  1. ^ "Release 1.54p". 18 February 2025. Retrieved 22 February 2025.
  2. ^ Schneider CA, Rasband WS, Eliceiri KW (2012). "NIH Image to ImageJ: 25 years of image analysis". Nat Methods. 9 (7): 671–675. doi:10.1038/nmeth.2089. PMC 5554542. PMID 22930834.
  3. ^ Collins TJ (July 2007). "ImageJ for microscopy". BioTechniques. 43 (1 Suppl): 25–30. doi:10.2144/000112517. PMID 17936939. Open access icon
  4. ^ "ImageJ Licensing". Retrieved 3 September 2018.
  5. ^ Girish V, Vijayalakshmi A (2004). "Affordable image analysis using NIH Image/ImageJ". Indian J Cancer. 41 (1): 47. doi:10.4103/0019-509X.12345. PMID 15105580. S2CID 44965098. Open access icon
  6. ^ Eliceiri K, Rueden C (2005). "Tools for visualizing multidimensional images from living specimens". Photochem Photobiol. 81 (5): 1116–22. doi:10.1562/2004-11-22-IR-377. PMID 15807634. S2CID 20399432.
  7. ^ Barboriak D, Padua A, York G, Macfall J (2005). "Creation of DICOM—Aware Applications Using ImageJ". J Digit Imaging. 18 (2): 91–9. doi:10.1007/s10278-004-1879-4. PMC 3046706. PMID 15827831.
  8. ^ Rajwa B, McNally H, Varadharajan P, Sturgis J, Robinson J (2004). "AFM/CLSM data visualization and comparison using an open-source toolkit". Microsc Res Tech. 64 (2): 176–84. doi:10.1002/jemt.20067. PMID 15352089. S2CID 6148206.
  9. ^ Gering E, Atkinson C (2004). "A rapid method for counting nucleated erythrocytes on stained blood smears by digital image analysis". J Parasitol. 90 (4): 879–81. Bibcode:2004JPara..90..879G. doi:10.1645/GE-222R. PMID 15357090. S2CID 22603181.
  10. ^ Burger W, Burge M (2007). Digital Image Processing: An Algorithmic Approach Using Java. Springer. ISBN 978-1-84628-379-6.
  11. ^ Dougherty, G (2009). Digital Image Processing for Medical Applications. Cambridge University Press. ISBN 978-0-521-86085-7.
  12. ^ "download". ImageJ.net.

Rich TVX News Network Site

Rich TVX News Network Info

© MMXXIII Rich X Search. We shall prevail. All rights reserved. Rich X Search