Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Vasculature-staining with lipophilic dyes in tissue-cleared brains assessed by deep learning

Beatriche L. E. Henriksen, Kristian H. R. Jensen, Rune W. Berg
doi: https://doi.org/10.1101/2020.05.16.099705
Beatriche L. E. Henriksen
Department of Neuroscience, Faculty of health and medical sciences, University of Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kristian H. R. Jensen
Department of Neuroscience, Faculty of health and medical sciences, University of Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rune W. Berg
Department of Neuroscience, Faculty of health and medical sciences, University of Copenhagen, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: runeb@sund.ku.dk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Visualization of the vasculature in three dimensions (3D) has become attractive, particularly in stroke models. 3D-reconstruction is aided by tissue-clearing, where the transparency allows imaging of fluorescent probes in deeper structures. The vasculature is commonly stained by fluorescent lipophilic dyes that are incorporated into the wall during transcardial perfusion. Nevertheless, tissue clearing involves extracting the light-scattering lipids, and hence also the lipid-appended dyes. The wash-out likely depends on dye and its aldehyde-fixability. Fixation secures cross-linking to proteins and hence retainment in the tissue. However, the compatibility of various types of dyes is largely unknown. We tested and compared 9 different dyes for vasculature staining and tolerance to lipid clearing, which was quantified using deep learning image segmentation. Among the dyes, we found a subset that is both cost-effective and compatible with tissue lipid clearing. We suggest these dyes will provide a valuable tool for future investigations.

Highlights

  • Size, alkyl-chains and aldehyde-fixable groups improve dye retention and performance.

  • Cost-effective dyes in specific liposomes result in optimal vessel staining.

  • SP-DiIC18 is compatible with CLARITY and BrainFilm and advantageous for most studies.

  • We recommend, SP-DiI and R18, cost-effective dyes, for vessel-painting with CLARITY.

Figure
  • Download figure
  • Open in new tab

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted May 17, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Vasculature-staining with lipophilic dyes in tissue-cleared brains assessed by deep learning
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Vasculature-staining with lipophilic dyes in tissue-cleared brains assessed by deep learning
Beatriche L. E. Henriksen, Kristian H. R. Jensen, Rune W. Berg
bioRxiv 2020.05.16.099705; doi: https://doi.org/10.1101/2020.05.16.099705
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Vasculature-staining with lipophilic dyes in tissue-cleared brains assessed by deep learning
Beatriche L. E. Henriksen, Kristian H. R. Jensen, Rune W. Berg
bioRxiv 2020.05.16.099705; doi: https://doi.org/10.1101/2020.05.16.099705

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4224)
  • Biochemistry (9101)
  • Bioengineering (6750)
  • Bioinformatics (23939)
  • Biophysics (12087)
  • Cancer Biology (9493)
  • Cell Biology (13738)
  • Clinical Trials (138)
  • Developmental Biology (7614)
  • Ecology (11657)
  • Epidemiology (2066)
  • Evolutionary Biology (15477)
  • Genetics (10616)
  • Genomics (14293)
  • Immunology (9458)
  • Microbiology (22773)
  • Molecular Biology (9069)
  • Neuroscience (48840)
  • Paleontology (354)
  • Pathology (1479)
  • Pharmacology and Toxicology (2563)
  • Physiology (3822)
  • Plant Biology (8308)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2289)
  • Systems Biology (6171)
  • Zoology (1297)