ImageJ 1.x was funded internally by the Research Services branch of the National Institutes of Health. It continues to be developed by Wayne Rasband, who is now retired, and continues his work on ImageJ1 as an NIH special volunteer.
ImageJ2 was initially funded from 2010 through 2012 by the National Institute of General Medical Sciences (NIGMS) through the American Recovery and Reinvestment Act of 2009 NIH Research and Research Infrastructure “Grand Opportunities” Grant, “Hardening” of Biomedical Informatics/Computing Software for Robustness and Dissemination (Ref: RC2 GM092519-01). For more information on the grant call, see the listing on the NIGMS Grand Opportunity Areas page. See also the original ImageJ2 grant proposal from 2009. For several years after that, ImageJ development was funded by several sources, including a Wellcome Trust Strategic Award (Ref: 095931) for the OMERO project, and substantial development effort at the University of Konstanz, University of Wisconsin-Madison and elsewhere. In 2020, the Center for Open Bioimage Analysis (COBA) was established with a P41 grant from the NIH National Institute of General Medical Sciences. Part of COBA’s funding is allocated toward ImageJ development and maintainence, with a focus on interoperability and integration with other bioimaging technologies.
SCIFIO’s development is now funded indirectly by various institutions as part of their respective research and development goals. SCIFIO as a whole is organized and maintained as part of the ImageJ2 effort by Curtis Rueden of the Eliceiri/LOCI lab.
ImgLib2 is currently funded by Bundesministerium für Bildung und Forschung (BMBF) grant 031L0102.
Fiji as a whole is organized and maintained by:
- Curtis Rueden of the Eliceiri/LOCI lab, currently supported by CZI as an Imaging Software Fellow.
- The Fiji development team at CSBD/MPI-CBG, led by Florian Jug and Pavel Tomancak, as part of a funded Fiji Software Sustainability Grant (DFG TO563/8-1).
Fiji development is also funded indirectly by various institutions as part of their respective research and development goals.
The Dresden Analysis-of-Images Suite (DAIS) is a partner project of CIBI in the German Network for Bioinformatics Infrastructure (de.NBI). The Fiji community is actively working towards tight integration with the KNIME workflow engine, which is maintained and developed by the de.NBI center CIBI. DAIS has a strong focus on further strengthening interoperability and integration of Fiji and KNIME, as well as bringing together their respective developer communities.