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Imagejdev: Next generation ImageJ (need confirmation)

Any successful software project, after a period of sustained growth and the addition of functionality outside the original intended scope, will benefit from a subsequent period of scrutiny and refactoring. ImageJDev is an NIH-funded, multi-institution effort to strengthen both the ImageJ software itself and its community by pursuing a new vision of ImageJ and associated community resources, including code and plugin repositories, and user and developer documentation.

The ImageJDev project's main aims include:

  1. Improving the ImageJ core architecture while preserving backward compatibility
  2. Interfacing ImageJ with other open-source software
  3. Providing centralized community resources for ImageJ-related materials

From a technical standpoint, we are working to improve ImageJ in five main areas:

  • Image data model, particularly large multidimensional data
  • Multidimensional visualization, including image registration and large images
  • Image I/O, including data from sources other than disk
  • Image segmentation (regions of interest)
  • Extensibility and user development, including more robust scripting and plugin API

In this talk, we will describe the ImageJDev progress so far, including:

  • Integration of the Fiji group's imglib generic image processing library
  • Progress on a unified, Bio-Formats-based I/O infrastructure
  • Improvements to the display architecture
  • Unit testing efforts to prevent regression bugs
  • An enhanced plugin development model that reduces boilerplate code
  • Leveraging open source tools to create a richer client


imagejdev, imagejx, community, refactoring, compatibility, interoperability

Administrative data

Presenting author: Curtis Rueden

Organisation: UW-Madison LOCI, MBL at Woods Hole

co-authors: Grant Harris, Barry DeZonia, Aivar Grislis, Rick Lentz, Lee Kamentsky, Adam Fraser, Johannes Schindelin, Albert Cardona, Stephan Saalfeld, Stephan Preibisch, Jean-Yves Tinevez, Pavel Tomancak, Anne Carpenter, Rudolf Oldenbourg, Kevin Eliceiri

Download presentation slides

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