KIT | KIT-Bibliothek | Impressum | Datenschutz

High-resolution synchrotron-based X-ray microtomography as a tool to unveil the three-dimensional neuronal architecture of the brain

Fonseca, Matheus de Castro; Araujo, Bruno Henrique Silva; Dias, Carlos Sato Baraldi; Archilha, Nathaly Lopes; Neto, Dionísio Pedro Amorim; Cavalheiro, Esper; Westfahl, Harry, Jr; Silva, Antônio José Roque da; Franchini, Kleber Gomes

Abstract:

The assessment of neuronal number, spatial organization and connectivity is fundamental for a complete understanding of brain function. However, the evaluation of the three-dimensional (3D) brain cytoarchitecture at cellular resolution persists as a great challenge in the field of neuroscience. In this context, X-ray microtomography has shown to be a valuable non-destructive tool for imaging a broad range of samples, from dense materials to soft biological specimens, arisen as a new method for deciphering the cytoarchitecture and connectivity of the brain. In this work we present a method for imaging whole neurons in the brain, combining synchrotron-based X-ray microtomography with the Golgi-Cox mercury-based impregnation protocol. In contrast to optical 3D techniques, the approach shown here does neither require tissue slicing or clearing, and allows the investigation of several cells within a 3D region of the brain.


Verlagsausgabe §
DOI: 10.5445/IR/1000142575
Veröffentlicht am 31.01.2022
Originalveröffentlichung
DOI: 10.1038/s41598-018-30501-x
Scopus
Zitationen: 77
Dimensions
Zitationen: 43
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photonenforschung und Synchrotronstrahlung (IPS)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2018
Sprache Englisch
Identifikator ISSN: 2045-2322
KITopen-ID: 1000142575
Erschienen in Scientific reports
Verlag Nature Research
Band 8
Seiten Art.-Nr.: 12074
Vorab online veröffentlicht am 13.08.2018
Nachgewiesen in Scopus
Dimensions
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page