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DOI: 10.1038/nmeth.2019
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.

Fiji: an open-source platform for biological-image analysis

Johannes Schindelin,Ignacio Arganda‐Carreras,Erwin Frise,Verena Kaynig,Mark Longair,Tobias Pietzsch,Stephan Preibisch,Curtis Rueden,Stephan Saalfeld,Benjamin Schmid,Jean‐Yves Tinevez,Daniel J. White,Volker Hartenstein,Kevin W. Eliceiri,Pavel Tomančák,Albert Cardona

Plug-in
Scripting language
Software
2012
Presented is an overview of the image-analysis software platform Fiji, a distribution of ImageJ that updates the underlying ImageJ architecture and adds modern software design elements to expand the capabilities of the platform and facilitate collaboration between biologists and computer scientists. Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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    Fiji: an open-source platform for biological-image analysis” is a paper by Johannes Schindelin Ignacio Arganda‐Carreras Erwin Frise Verena Kaynig Mark Longair Tobias Pietzsch Stephan Preibisch Curtis Rueden Stephan Saalfeld Benjamin Schmid Jean‐Yves Tinevez Daniel J. White Volker Hartenstein Kevin W. Eliceiri Pavel Tomančák Albert Cardona published in 2012. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.