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001     1048778
005     20251204202145.0
037 _ _ |a FZJ-2025-04893
041 _ _ |a English
100 1 _ |a Dickscheid, Timo
|0 P:(DE-Juel1)165746
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111 2 _ |a 9th BigBrain Workshop - HIBALL Closing Symposium
|c Berlin
|d 2025-10-27 - 2025-10-27
|w Germany
245 _ _ |a Working with quantitative cortical cell densities using siibra
260 _ _ |c 2025
336 7 _ |a lecture
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336 7 _ |a Generic
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336 7 _ |a MISC
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336 7 _ |a Lecture
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|s 1764842275_7570
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Text
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520 _ _ |a The regional microstructure of cortical brain areas, along with their connectivity to other regions, is linked to their functional profile. Consequently, microstructure varies significantly between different brain region. Along with modern image analysis methods, the BigBrain provides a unique resource for quantifying microstructure in terms of numbers, densities, and distributions of cell bodies at different locations in the brain. In this tutorial, we demonstrate how the siibra toolsuite can be used to access micrometer resolution BigBrain image data and extract cortical image patches for custom regions of interest. We will show how locations can be specified or sampled in interactive and scripted workflows, and demonstrate how state of the art AI models can be used to extract and quantify cell instances from extracted image patches in a reproducible fashion. We will present a dataset of layer-specific cell densities for areas defined in the Julich-Brain cytoarchitectonic atlas, which has been created on the basis of these ideas and is available through siibra.
536 _ _ |a 5254 - Neuroscientific Data Analytics and AI (POF4-525)
|0 G:(DE-HGF)POF4-5254
|c POF4-525
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536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
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536 _ _ |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
|0 G:(DE-HGF)InterLabs-0015
|c InterLabs-0015
|x 2
536 _ _ |a EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)
|0 G:(EU-Grant)101147319
|c 101147319
|f HORIZON-INFRA-2022-SERV-B-01
|x 3
700 1 _ |a Bludau, Sebastian
|0 P:(DE-Juel1)131636
|b 1
|u fzj
856 4 _ |u https://events.hifis.net/event/2171/contributions/19226/
909 C O |o oai:juser.fz-juelich.de:1048778
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5254
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913 1 _ |a DE-HGF
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|l Natural, Artificial and Cognitive Information Processing
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|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 1
914 1 _ |y 2025
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
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|l Strukturelle und funktionelle Organisation des Gehirns
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980 _ _ |a lecture
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)INM-1-20090406
980 _ _ |a UNRESTRICTED

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