This page describes how SciJava projects are funded.
- For information on who contributes to these projects, see Contributors.
- For information on who maintains these projects, see Governance.
- For information on citing these projects, see Citing.
ImageJ
The original ImageJ 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 ImageJ as an NIH special volunteer.
ImageJ2
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.
The ImageJ2 project as a whole is maintained by Curtis Rueden of the Eliceiri/LOCI lab, currently supported by CZI as an Imaging Software Fellow.
SCIFIO
SCIFIO was funded by the National Science Foundation, award number 1148362. It was initially developed by Mark Hiner and Curtis Rueden of the Eliceiri/LOCI lab.
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
The ImgLib2 project was developed by Stephan Saalfeld, Stephan Preibisch and Tobias Pietzsch of the Tomancak lab at MPI-CBG.
The ImgLib2 project as a whole is organized and maintained by Tobias Pietzsch of MPI-CBG, Stephan Saalfeld of Janelia Research Campus, and Curtis Rueden of the Eliceiri/LOCI lab.
ImgLib2 is currently funded by Bundesministerium für Bildung und Forschung (BMBF) grant 031L0102.
ImgLib2 is also funded indirectly by the various involved software efforts, including the Tomancak, Jug and Saalfeld labs as well as the Eliceiri/LOCI lab.
SciJava
Core SciJava libraries are funded indirectly by the various involved software efforts, including ImageJ2, KNIME, OMERO and CellProfiler.
The SciJava project as a whole is organized and maintained by Curtis Rueden of the Eliceiri/LOCI lab, currently supported by CZI as an Imaging Software Fellow.
Fiji
The Fiji distribution of ImageJ and ImageJ2 for the life sciences is a broad collection of plugins by many authors across the worldwide community.
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.
de.NBI DAIS
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.
