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| Home > Publications database > Cellular level 3D reconstructed volumes at 1µm resolution within the BigBrain occipital cortex (v1.0) > print |
| 001 | 911550 | ||
| 005 | 20221118130917.0 | ||
| 024 | 7 | _ | |a 10.25493/K8Q7-CG9 |2 doi |
| 037 | _ | _ | |a FZJ-2022-04810 |
| 100 | 1 | _ | |a Huysegoms, Marcel |0 P:(DE-Juel1)138708 |b 0 |u fzj |
| 245 | _ | _ | |a Cellular level 3D reconstructed volumes at 1µm resolution within the BigBrain occipital cortex (v1.0) |
| 260 | _ | _ | |c 2022 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1668768529_1448 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 520 | _ | _ | |a This dataset contains two 6x6x6 mm 3 volumes sampled from the occipital cortex (areas V1 and V2) of a human postmortem brain. The volumes were acquired by rescanning the original histological sections of the BigBrain model at an isotropic resolution of 1µm. The sections were linearly 3D reconstructed by aligning matched pairs of bisected cells, which were identified from congruent point constellations. Subsequently, both reconstructed stacks were anchored into the 20µm 3D BigBrain space using a 3D affine transformation. Each reconstructed volume is provided as a multipage (Big)Tiff file at multiple resolutions (1-32µm) which can be interpreted by most biomedical image viewers. Additionally, the volumes can be explored interactively online, superimposed on the BigBrain model, using the links provided. Direct integration with the EBRAINS atlas viewer is in progress. |
| 536 | _ | _ | |a 5251 - Multilevel Brain Organization and Variability (POF4-525) |0 G:(DE-HGF)POF4-5251 |c POF4-525 |f POF IV |x 0 |
| 536 | _ | _ | |a HIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015) |0 G:(DE-HGF)InterLabs-0015 |c InterLabs-0015 |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Neuroscience |2 Other |
| 700 | 1 | _ | |a Bludau, Sebastian |0 P:(DE-Juel1)131636 |b 1 |u fzj |
| 700 | 1 | _ | |a Oliveira, Sarah |0 P:(DE-Juel1)7935 |b 2 |u fzj |
| 700 | 1 | _ | |a Upschulte, Eric |0 P:(DE-Juel1)177675 |b 3 |u fzj |
| 700 | 1 | _ | |a Dickscheid, Timo |0 P:(DE-Juel1)165746 |b 4 |u fzj |
| 700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 5 |u fzj |
| 773 | _ | _ | |a 10.25493/K8Q7-CG9 |
| 909 | C | O | |o oai:juser.fz-juelich.de:911550 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)138708 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)131636 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)7935 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)177675 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)165746 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)131631 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-525 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Decoding Brain Organization and Dysfunction |9 G:(DE-HGF)POF4-5251 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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