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UID:pretalx-scipy-2026-FVRNKP@pretalx.com
DTSTART;TZID=CST:20260713T133000
DTEND;TZID=CST:20260713T173000
DESCRIPTION:With everything from microscopes to telescopes to satellites\, 
 scientists produce image data in countless formats\, shapes\, sizes\, and 
 dimensions. Python provides a rich ecosystem of libraries to make sense of
  them. napari is a Python library for multidimensional image visualization
 \, but it does double duty as a standalone application that can be easily 
 extended with GUI tools for analysis\, visualization\, and annotation. In 
 this tutorial\, we'll start with the basics of image visualization and ana
 lysis in napari\, then show how to extend the napari user interface to mak
 e analysis workflows as easy as pushing a button\, and finally show how to
  share these extensions as *plugins*\, which can be easily installed by us
 ers and collaborators. If you work with images (particularly multidimensio
 nal images)\, and especially if you work with scientists who may not be co
 mfortable with Python\, this tutorial might be for you!\n\nInstallation In
 structions: https://napari.org/workshops/extend/setup/
DTSTAMP:20260715T022642Z
LOCATION:Viz
SUMMARY:Create custom image visualization and analysis tools with napari (R
 oom HSEC 2-110) - Tim Monko\, Ashley Anderson
URL:https://pretalx.com/scipy-2026/talk/FVRNKP/
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