BICCN / cell-locator

manually align specimens to annotated 3D spaces
https://cell-locator.readthedocs.io
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Integration of annotated MNI space for human brain. #99

Closed jcfr closed 4 years ago

jcfr commented 4 years ago

What's the problem this feature will solve?

In the context of the Patch-seq workflow, the Human neuroanatomy team at Allen may perform pinning for human specimen.

We are using ICBM 152 symmetric template 2009b:

Describe the solution you'd like

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Additional context

jcfr commented 4 years ago

@wbwakeman

Would it be possible to provide the 3D annotations along with the ontology ?

Which data should be loaded in the application: pd, t1 or t2 ?

wbwakeman commented 4 years ago

@jcfr Thanks for opening this issue to track the work. I will see if I can track down someone that may have answers to your questions.

jcfr commented 4 years ago

Would it be possible to provide the 3D annotations along with the ontology ?

See https://community.brain-map.org/t/allen-human-reference-atlas-3d-2020-new/405

See also TERMS OF USE for proper acknowledgment

wbwakeman commented 4 years ago

Please use the T1: mni_icbm152_t1_tal_nlin_sym_09b_hires.nii

Yes, it is possible to use the Allen Human reference described in the forum link.

jcfr commented 4 years ago

Since the MNI and the CCF datasets are associated with different workflow, I am thinking about:

Does that make sense ?

wbwakeman commented 4 years ago

Makes sense to me

jcfr commented 4 years ago

For reference, some screenshot illustrating the MNI loaded in Slicer (note that the color mapping is not the correct one)

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jcfr commented 4 years ago

Details to gather the correct ontology information are available in this script: http://download.alleninstitute.org/informatics-archive/allen_human_reference_atlas_3d_2020/version_1/examples/convert_to_itksnap/convert_to_itksnap.py