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A guidebook for DISCO tissue clearing.

Mol. Syst. Biol. 17:e9807 (2021)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Histological analysis of biological tissues by mechanical sectioning is significantly time-consuming and error-prone due to loss of important information during sample slicing. In the recent years, the development of tissue clearing methods overcame several of these limitations and allowed exploring intact biological specimens by rendering tissues transparent and subsequently imaging them by laser scanning fluorescence microscopy. In this review, we provide a guide for scientists who would like to perform a clearing protocol from scratch without any prior knowledge, with an emphasis on DISCO clearing protocols, which have been widely used not only due to their robustness, but also owing to their relatively straightforward application. We discuss diverse tissue-clearing options and propose solutions for several possible pitfalls. Moreover, after surveying more than 30 researchers that employ tissue clearing techniques in their laboratories, we compiled the most frequently encountered issues and propose solutions. Overall, this review offers an informative and detailed guide through the growing literature of tissue clearing and can help with finding the easiest way for hands-on implementation.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter 3d Imaging ; Disco ; Labeling ; Light Sheet ; Tissue Clearing
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1744-4292
e-ISSN 1744-4292
Quellenangaben Band: 17, Heft: 3, Seiten: , Artikelnummer: e9807 Supplement: ,
Verlag EMBO Press
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Tissue Engineering and Regenerative Medicine (ITERM)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505800-001
Förderungen NIH HHS
Helmholtz ICEMED Alliance
Deutsche Forschungsgemeinschaft (DFG)
Scopus ID 85103385142
PubMed ID 33769689
Erfassungsdatum 2021-05-20