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A guidebook for DISCO tissue clearing.
Mol. Syst. Biol. 17:e9807 (2021)
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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Publication type
Article: Journal article
Document type
Review
Keywords
3d Imaging ; Disco ; Labeling ; Light Sheet ; Tissue Clearing
Language
english
Publication Year
2021
HGF-reported in Year
2021
ISSN (print) / ISBN
1744-4292
e-ISSN
1744-4292
Journal
Molecular Systems Biology
Quellenangaben
Volume: 17,
Issue: 3,
Article Number: e9807
Publisher
EMBO Press
Publishing Place
111 River St, Hoboken 07030-5774, Nj Usa
Reviewing status
Peer reviewed
Institute(s)
Institute for Tissue Engineering and Regenerative Medicine (ITERM)
POF-Topic(s)
30205 - Bioengineering and Digital Health
Research field(s)
Enabling and Novel Technologies
PSP Element(s)
G-505800-001
Grants
NIH HHS
Helmholtz ICEMED Alliance
Deutsche Forschungsgemeinschaft (DFG)
Helmholtz ICEMED Alliance
Deutsche Forschungsgemeinschaft (DFG)
WOS ID
WOS:000636348400005
Scopus ID
85103385142
PubMed ID
33769689
Erfassungsdatum
2021-05-20