NanoJ-Core is an open-source ImageJ and Fiji plugin that provide the base high-performance computing engine that other NanoJ plugins need to run: NanoJ-SRRF, NanoJ-SQUIRREL, NanoJ-VirusMapper and NanoJ-Fluidics.
NanoJ-Core also provides image analysis methods for Drift Correction and Channel Alignment. Check out our bioRxiv preprint for a full description of the NanoJ features, and the User Manual for an in-depth guide on how to use them.
NanoJ-Core is available as an ImageJ/Fiji (from here on ImageJ) plugin. The installation proceeds thought the ImageJ updater: open ImageJ and select “Update” in the “Help”-menu.
Regardless if other updates are available or not, press the “Manage update sites”-button on the Updater window (indicated in red).
Then, scroll down the list of update sites, click on the tick-box next to “NanoJ-Core" and click the “Close” button (in red).
Finally, click “Apply changes” (in red) in the Updater window, close and then restart ImageJ.
You can find NanoJ-Core under the “Plugins” menu.
Exciting news! Drift alignment and Channel registration are now accessible in Python through the NanoPyx package. This integration brings the power and versatility of NanoJ-Core to Python users, opening up new possibilities for analysis and integration within Python-based workflows.
NanoPyx seamlessly integrates NanoJ-Core's image registration capabilities into Python environments. With NanoPyx, users can now leverage NanoJ's high-performance analytical approach within their Python scripts, pipelines, and interactive sessions. Through NanoPyx, NanoJ-Core image registration methods are also available as "codeless" Jupyter Notebooks and a napari plugin.