Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections
Nick Larsen et al. developed a pipeline to collect and image serial sections from fixed human cortex, then apply deep learning to detect pyramidal cells from 3D reconstructions of these sections. Their results reiterate that cortical pyramidal cells are organized in a columnar structure and highligh...
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| Format: | Article |
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Nature Publishing Group
2021-09-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-021-02548-6 |
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doaj-c372f12dc5a442998736c0ade347fe0e2021-09-05T11:20:56ZengNature Publishing GroupCommunications Biology2399-36422021-09-014111510.1038/s42003-021-02548-6Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sectionsNick Y. Larsen0Xixia Li1Xueke Tan2Gang Ji3Jing Lin4Grazyna Rajkowska5Jesper Møller6Ninna Vihrs7Jon Sporring8Fei Sun9Jens R. Nyengaard10Core Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus UniversityNational Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of SciencesNational Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of SciencesNational Key Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of SciencesDepartment of Computer Science, University of CopenhagenDepartment of Psychiatry and Human Behavior, University of Mississippi Medical CenterCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of CopenhagenDepartment of Mathematical Sciences, Aalborg UniversityCentre for Stochastic Geometry and Advanced Bioimaging, Aalborg University, Aarhus University and University of CopenhagenSino-Danish Center for Education and ResearchCore Centre for Molecular Morphology, Section for Stereology and Microscopy, Department of Clinical Medicine, Aarhus UniversityNick Larsen et al. developed a pipeline to collect and image serial sections from fixed human cortex, then apply deep learning to detect pyramidal cells from 3D reconstructions of these sections. Their results reiterate that cortical pyramidal cells are organized in a columnar structure and highlight the potential of this method, which is universally applicable to characterize cells for various tissues.https://doi.org/10.1038/s42003-021-02548-6 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Nick Y. Larsen Xixia Li Xueke Tan Gang Ji Jing Lin Grazyna Rajkowska Jesper Møller Ninna Vihrs Jon Sporring Fei Sun Jens R. Nyengaard |
| spellingShingle |
Nick Y. Larsen Xixia Li Xueke Tan Gang Ji Jing Lin Grazyna Rajkowska Jesper Møller Ninna Vihrs Jon Sporring Fei Sun Jens R. Nyengaard Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections Communications Biology |
| author_facet |
Nick Y. Larsen Xixia Li Xueke Tan Gang Ji Jing Lin Grazyna Rajkowska Jesper Møller Ninna Vihrs Jon Sporring Fei Sun Jens R. Nyengaard |
| author_sort |
Nick Y. Larsen |
| title |
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| title_short |
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| title_full |
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| title_fullStr |
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| title_full_unstemmed |
Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| title_sort |
cellular 3d-reconstruction and analysis in the human cerebral cortex using automatic serial sections |
| publisher |
Nature Publishing Group |
| series |
Communications Biology |
| issn |
2399-3642 |
| publishDate |
2021-09-01 |
| description |
Nick Larsen et al. developed a pipeline to collect and image serial sections from fixed human cortex, then apply deep learning to detect pyramidal cells from 3D reconstructions of these sections. Their results reiterate that cortical pyramidal cells are organized in a columnar structure and highlight the potential of this method, which is universally applicable to characterize cells for various tissues. |
| url |
https://doi.org/10.1038/s42003-021-02548-6 |
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