Imaging brain tissue architecture across millimeter to nanometer scales.
Journal
Nature biotechnology
ISSN: 1546-1696
Titre abrégé: Nat Biotechnol
Pays: United States
ID NLM: 9604648
Informations de publication
Date de publication:
31 Aug 2023
31 Aug 2023
Historique:
received:
11
08
2022
accepted:
20
07
2023
pubmed:
1
9
2023
medline:
1
9
2023
entrez:
31
8
2023
Statut:
aheadofprint
Résumé
Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease.
Identifiants
pubmed: 37653226
doi: 10.1038/s41587-023-01911-8
pii: 10.1038/s41587-023-01911-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : I3600-B27
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : DK W1232
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : Z 312-B27
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : I6565-B
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : DOC 33-B27
Organisme : Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung)
ID : I4685-B
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions)
ID : 665385
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions)
ID : 101026635
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 715508
Organisme : EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
ID : 692692
Informations de copyright
© 2023. The Author(s).
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