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# CLIJx-Assistant
[CLIJx-Assistant](https://clij.github.io/assistant) is an intuitive user interface for building custom GPU-accelerated image processing workflows using [CLIJ2](https://clij.github.io) in [Fiji](https://fiji.sc).
# CLIJ2-Assistant
The CLIJ2 Assistant is an intuitive user interface for building custom GPU-accelerated image processing workflows using [CLIJ2](https://clij.github.io) in [Fiji](https://fiji.sc).
It visualizes workflows as image date flow graphs while building them.
It suggests what to do next and generates scripts and human readable protocols to facilitate reproducible bio-image analysis.
These generated scripts also be executed in other platforms such as Matlab, Icy, Python and QuPath.
These generated scripts also be executed in other platforms such as Matlab and Icy.

If you use CLIJx-assistant, pleace cite it:
If you use CLIJ2-assistant, pleace cite it:

Robert Haase, Akanksha Jain, Stephane Rigaud, Daniela Vorkel, Pradeep Rajasekhar, Theresa Suckert, Talley J Lambert, Juan Nunez-Iglesias, Daniel P Poole, Pavel Tomancak, Eugene W Myers. Interactive design of GPU-accelerated Image Data Flow Graphs and cross-platform deployment using multi-lingual code generation. [BioRxiv preprint](https://www.biorxiv.org/content/10.1101/2020.11.19.386565v1)

CLIJx-Assistant is under development and is subject to change.
CLIJ2-Assistant is under beta-testing and will most likely release June 13th 2021.
Give it a try and let us know what you think!
Do not use it for routine research yet.
Stay tuned.

![Image](images/teaser_landscape.gif)
[Image data source: Daniela Vorkel, Myers lab, CSBD / MPI CBG]
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