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Transforms to map between different Drosophila template brains

Project description

DOI

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 22 template brains and nerve cords
  • an Elastix transform between FANC and JRCVNC2018F kindly shared by Jasper Phelps
  • a landmark-based transform between MANC and FANC
  • mirror transforms for FAFB14 and FANC

There are plenty additional transforms that 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 or VFB transforms, you will need to have CMTK installed.

For the FANC to JRCVNC2018F transform, you will need to download elastix and make sure that the path to the binaries is in your PATH variable.

Usage

It's highly recommended that after install, you download the (optional) bridging transforms to map between template brains/nerve cords.

:exclamation: If you already have downloaded these registrations via nat.jrcbrains and/or nat.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 between JRC brain templates
# (Saalfeld lab, Janelia Research Campus) - see docstring for details
>>> flybrains.download_jrc_transforms()

# This downloads H5 bridging transforms between JRC VNC templates
# (Saalfeld lab, Janelia Research Campus) - see docstring for details
>>> flybrains.download_jrc_vnc_transforms()

# This downloads (or updates) various CMTK bridging and mirror transforms
# generated or collated by VirtualFlyBrain.org - see docstring for details
>>> flybrains.download_vfb_transforms()

# Register the transforms - this is only necessary if you just downloaded them
# Alternatively just restart your Python session and import flybrains
>>> 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([[429536, 205240,  38400]])
>>> navis.xform_brain(points, source='FAFB', target='JRC2018F')
array([[241.53969657, 100.99399233,  35.96977733]])

Please see the transform tutorial for navis to learn how to transform more complex data.

To check which transforms are available (either downloaded or via R) you can run this:

>>> # Generate a report - note the mix of transforms downloaded via Python and R
>>> flybrains.report()
Flybrains Status Report
=======================
Data Home: /Users/philipps/flybrain-data

CMTK registrations (Jefferis lab/VFB): 41 of 45
H5 registrations (JRC/Saalfeld lab): 3 of 8

nat regdirs
-----------
~/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
~/Library/Application Support/R/nat.jrcbrains: 0 CMTK | 5 H5 transforms

Meta data and surface meshes for the template brains/VNCs are readily accessible:

>>> flybrains.FAFB14
Template brain
--------------
Name: Full Adult Fly Brain
Short Name: FAFB14
Type: None
Sex:  female
Dimensions: 165372 x 80745 x 6730 voxels
Voxel size:
  x = 4 nanometers
  y = 4 nanometers
  z = 40 nanometers
Bounding box (nanometers):
  x = 192200, y = 75853, z = 2007,
  x = 853686, y = 398832, z = 271205,
Description: SSTEM volume comprising an entire female Drosophila brain was imaged at
 4x4x40nm by Zheng et al. (2018) and is availabe for download at
https://temca2data.org/. The meta data and associated mesh represent
version 14 (FAFB14) of this data set.
DOI: 10.1016/j.cell.2018.06.019

Most templates come with a mesh e.g. for plotting via navis:

>>> flybrains.FAFB14.mesh
<trimesh.Trimesh(vertices.shape=(25047, 3), faces.shape=(50416, 3))>
>>> # You can pass the template object directly to navis' plotting functions
>>> navis.plot3d(flybrains.FAFB14)

Changes

  • 0.2.4 (12/05/22): added FLYWIRE template brain and landmark-based mirror transform
  • 0.2.0 (02/02/22): added VirtualFlyBrain.org's (CMTK) and Janelia's (H5) VNC transforms; renamed some download function
  • 0.1.14 (21/10/21): added FANC <-> JRCVNC2018F transform (requires Elastix and navis >=1.0.0)
  • 0.1.13 (14/10/21): add template and mirror transform for FANC
  • 0.1.12 (18/09/21): fixed directionality of Jefferis lab CMTK transforms
  • 0.1.11 (02/08/21): make downloads work if file size unknown
  • 0.1.10 (01/08/21): fix bug that led to warnings during transform registration on Windows systems
  • 0.1.9 (05/05/21): fixed mesh normals; fixed JRCFIB2018F units to nm and added JRCFIB2018Fum template;
  • 0.1.8 (10/04/21): add a simple symmetrization transform for FAFB: FAFB14sym
  • 0.1.7 (30/03/21): better deal with systems without nat libraries
  • 0.1.6 (25/03/21): fix bug that led to excessive recursive scanning of directories
  • 0.1.5 (03/03/21): fix bug that led to meshes not being packaged
  • 0.1.4 (24/02/21): added "hemibrain" alias for "JRCFIB2018F"; added hemibrain bounding box mesh
  • 0.1.3 (12/01/21): improved the warp mirror registration for FAFB14
  • 0.1.2 (10/01/21): added a warp mirror registration for FAFB14
  • 0.1.1 (06/01/21): added um (for microns) suffix to JRCFIB2018F transforms; added affine JRCFIB2018Fraw -> JRCFIB2018F -> JRCFIB2018Fum transforms
  • 0.1.0 (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
PLOS One; doi: https://doi.org/10.1371/journal.pone.0236495

For references of individual template brains, please see their docstrings:

>>> help(flybrains.IBN)

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