Home > Publications database > 3D reconstruction and analysis of the macaque brain from histological slices > print |
001 | 902920 | ||
005 | 20240313103132.0 | ||
024 | 7 | _ | |a 2128/29261 |2 Handle |
037 | _ | _ | |a FZJ-2021-04674 |
100 | 1 | _ | |a Morales-Gregorio, Aitor |0 P:(DE-Juel1)176593 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a 5th BigBrain Workshop |c Virtual |d 2021-09-21 - 2021-09-23 |w Germany |
245 | _ | _ | |a 3D reconstruction and analysis of the macaque brain from histological slices |
260 | _ | _ | |c 2021 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a Other |2 DataCite |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
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520 | _ | _ | |a Given the usefulness of the BigBrain high resolution histological volume, it would be very valuable to have a similar public domain resource for the macaque. Isotropic high resolution data to build such a resource is not currently available, but as an initial step we present a histological volume based on the NIH Blueprint Non-Human Primate (NHP) Atlas [1], acquired by the Allen Institute and funded by the NIH. Our contribution is to take the set of Nissl stained slices (50 μm thick, 250 μm apart) and to create a smooth volume by calculating the optimal alignment. We used open tools [2, 3] for processing, modernized the code of the poSSum three-dimensional reconstruction toolbox [4] and extended the deformable registration method thereof, using the an MRI-based macaque atlas [5] as a reference template. We will use the reconstructed volume to estimate neuron densities across all cortical areas used in the core-nets.org macaque connectivity database [6]. Besides adding to the body of knowledge on the cytoarchitecture [7] and geometry of the macaque cortex, this work will provide tools to further analyze histological data and support large-scale dynamical modeling studies.[1] NIH Blueprint NHP Atlas, www.blueprintnhpatlas.org[2] Bakker et al. Neuroinformatics, 2015[3] Microdraw, microdraw.pasteur.fr[4] Majka et al. Journal of Comparative Neurology, 2016[5] Calabrese et al. NeuroImage, 2015[6] Markov et al. Cerebral Cortex, 2012[7] Beul and Hilgetag. NeuroImage, 2019 |
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536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |x 1 |f H2020-SGA-FETFLAG-HBP-2019 |
536 | _ | _ | |a DFG project 347572269 - Heterogenität von Zytoarchitektur, Chemoarchitektur und Konnektivität in einem großskaligen Computermodell der menschlichen Großhirnrinde (347572269) |0 G:(GEPRIS)347572269 |c 347572269 |x 2 |
700 | 1 | _ | |a Bakker, Rembrandt |0 P:(DE-Juel1)145578 |b 1 |e Corresponding author |u fzj |
700 | 1 | _ | |a van Albada, Sacha |0 P:(DE-Juel1)138512 |b 2 |u fzj |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/902920/files/MoralesBakker_BigBrain_20210922-1.pdf |y OpenAccess |
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914 | 1 | _ | |y 2021 |
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