FAFBseg is a set of Python tools to work with various kinds of segmentation data in the FAFB dataset:
A lot of this library depends on services hosted by Eric Perlman and Davi Bock. So if you happen to bump into them, buy them a beer or a whiskey.
Check out the introduction for a brief overview of FAFB data and the tutorials for code examples.
If you are coming from
fafbseg prior to version
1.0.0: We have
made major changes to better organize the diverse landscape of FAFB
segmentation data. Function names and their locations have changed!
See the API for an overview.
map locations to Google segmentation / FlyWire root IDs
transform neurons between FAFB and FlyWire space
merge neurons from Google autoseg into v14 main CATMAID instance
load FlyWire neurons and skeletonize them
generate connectivity tables using the Buhmann et al. synapse predictions
parse and generate FlyWire URLs