Thursday, October 24, 2019

Introducing napari: a fast n-dimensional image viewer in Python

I'm really excited to finally, officially, share a new(ish) project called napari with the world. We have been developing napari in the open from the very first commit, but we didn't want to make any premature fanfare about it… Until now. It's still alpha software, but for months now, both the core napari team and a few collaborators/early adopters have been using napari in our daily work. I've found it life-changing.

The background

I've been looking for a great nD volume viewer in Python for the better part of a decade. In 2009, I joined Mitya Chklovskii's lab and the FlyEM team at the Janelia [Farm] Research Campus to work on the segmentation of 3D electron microscopy (EM) volumes. I started out in Matlab, but moved to Python pretty quickly and it was a very smooth transition (highly recommended! ;). Looking at my data was always annoying though. I was either looking at single 2D slices using matplotlib.pyplot.imshow, or saving the volumes in VTK format and loading them into ITK-SNAP — which worked ok

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