Transforms to map between different Drosophila template brains
Project description
navis-flybrains
Transforms to map between different Drosophila template brains. Intended to be used with navis.
This library is analogous to Greg Jefferis' nat.templatebrains, nat.jrcbrains and nat.flybrains for R.
flybrains
ships with meta data, surface meshes for 17 template brains and a
mirror transform for FAFB14
. Additional transforms need to be downloaded
separately (see below).
Installation
You can install flybrains
from PyPI:
pip3 install flybrains
External dependencies
In order to use the Jefferis lab transforms, you will need to have CMTK installed.
Bridging transforms
It's highly recommended that after install, you download the optional bridging transforms to map between template brains.
:exclamation: If you already have downloaded these registrations via
nat.jrcbrains
and/ornat.flybrains
you can skip this:flybrains
should be able to find the registrations downloaded via R and register them for you (see also code at the bottom).
>>> import flybrains
# This downloads (or updates) various CMTK bridging and mirror transforms
# generated or collated by the Jefferis lab - see docstring for details
>>> flybrains.download_jefferislab_transforms()
# This downloads h5 bridging transforms generated by the Saalfeld lab (Janelia)
# - see docstring for details
>>> flybrains.download_saalfeldlab_transforms()
# Register the transforms - this is only necessary if you just downloaded them
>>> flybrains.register_transforms()
In the future, simply importing flybrains
is sufficient to make the
transforms available to navis:
>>> import navis
>>> import flybrains
>>> import numpy as np
>>> points = np.array([[0, 0, 0]])
>>> navis.xform_brain(points, source='FAFB', target='JRC2018F')
On import of flybrains
, these data sources are injected into and can be
readily used to e.g. transform 3d coordinates between brain spaces.
To check which transforms are available (either downloaded or via R) you can run this:
>>> # Generate a report - note the mix reg downloaded via Python and R
>>> flybrains.report()
Flybrains Status Report
=======================
Data Home: /Users/philipps/flybrain-data
Jefferis lab registrations: 41 of 41
Saalfeld lab registrations: 0 of 6
nat regdirs
-----------
/Users/philipps/Library/Application Support/rpkg-nat.templatebrains/regfolders: 41 CMTK | 0 H5 transforms
/Library/Frameworks/R.framework/Versions/3.6/Resources/library/nat.flybrains/extdata/bridgingregistrations: 5 CMTK | 0 H5 transforms
/Library/Frameworks/R.framework/Versions/3.6/Resources/library/nat.flybrains/extdata/mirroringregistrations: 5 CMTK | 0 H5 transforms
/Users/philipps/Library/Application Support/R/nat.jrcbrains: 0 CMTK | 5 H5 transforms
Documentation
Please see the transform tutorial
for navis to learn how to use the data flybrains
provides.
Changes
0.1.4
(24/02/21): added "hemibrain" alias for "JRCFIB2018F"; added hemibrain bounding box mesh0.1.3
(12/01/21): improved the warp mirror registration forFAFB14
0.1.2
(10/01/21): added a warp mirror registration forFAFB14
0.1.1
(06/01/21): addedum
(for microns) suffix toJRCFIB2018F
transforms; added affineJRCFIB2018Fraw
->JRCFIB2018F
->JRCFIB2018Fum
transforms0.1.0
(03/01/21): first working version
Acknowledgements
Critically based on nat.flybrains
and nat.jrcbrains
by Greg Jefferis
et al. for inspiration for the implementation and meta data on e.g. template
brains.
As reference for the Jefferis lab registrations, please use:
The natverse, a versatile toolbox for combining and analysing neuroanatomical data.
A.S. Bates, J.D. Manton, S.R. Jagannathan, M. Costa, P. Schlegel, T. Rohlfing, G.S. Jefferis
eLife. 9 (2020) e53350. doi:10.7554/eLife.53350.
As (partial) reference for the Saalfeld lab registrations, please see:
An unbiased template of the Drosophila brain and ventral nerve cord.
John A Bogovic, Hideo Otsuna, Larissa Heinrich, Masayoshi Ito, Jennifer Jeter, Geoffrey Meissner, Aljoscha Nern, Jennifer Colonell, Oz Malkesman, Kei Ito, Stephan Saalfeld
bioRxiv 376384; doi: https://doi.org/10.1101/376384
For references of individual template brains, please see their docstrings:
>>> help(flybrains.IBN)
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