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SUMMARY:image analysis and visualization in Python with scikit-image\, nap
 ari\, and friends - Juan Nunez-Iglesias\, Lars Grüter\, Kira Evans
DTSTART;TZID=America/Chicago:20230710T080000
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DTSTAMP:20261015T200802Z
UID:pretalx-2023-NEUUKG@cfp.scipy.org
DESCRIPTION:Between telescopes and satellite cameras and MRI machines and 
 microscopes\, scientists are producing more images than they can realistic
 ally look at. They need specialized viewers for multi-dimensional images\,
  and automated tools to help process those images into knowledge. In this 
 tutorial\, we will cover the fundamentals of algorithmic image analysis\, 
 starting with how to think of images as NumPy arrays\, moving on to basic 
 image filtering\, and finishing with a complete workflow: segmenting a 3D 
 image into regions and making measurements on those regions. At every step
 \, we will visualize and understand our work using matplotlib and napari.
LOCATION:Classroom 202
URL:https://cfp.scipy.org/2023/talk/NEUUKG/
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