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Scientific imaging benefits from open-source programs that advance new method development and deployment to a diverse audience. ImageJ has continuously evolved with this idea in mind; however, new and emerging scientific requirements have posed corresponding challenges for ImageJ's development. The described improvements provide a framework engineered for flexibility, intended to support these requirements as well as accommodate future needs. Future efforts will focus on implementing new algorithms in this framework and expanding collaborations with other popular scientific software suites.
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Rueden et al. (Wed,) studied this question.
synapsesocial.com/papers/69d8f780183921ebcaae4367 — DOI: https://doi.org/10.1186/s12859-017-1934-z
Curtis Rueden
University of Wisconsin–Madison
Johannes Schindelin
Microsoft (United States)
Mark Hiner
University of Minnesota
SHILAP Revista de lepidopterología
BMC Bioinformatics
University of Wisconsin–Madison
Morgridge Institute for Research
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