Evidence map›Paper›PMID 32154265›Full record

ArticleFrontiers in molecular biosciences2020

Routine Optical Clearing of 3D-Cell Cultures: Simplicity Forward.

Elina Nürnberg, Mario Vitacolonna, Julia Klicks, Elena von Molitor, Tiziana Cesetti, Florian Keller, Roman Bruch, Torsten Ertongur-Fauth, Katja Riedel, Paul Scholz and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
11.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 86 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Quantifying single-cell responses to irradiation in 3D.Frontiers in bioengineering and biotechnology · 2026
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  15. The Evolution of Technology-Driven In Vitro Models for Neurodegenerative Diseases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. FromFrontiers in molecular biosciences · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Elina NürnbergInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Mario VitacolonnaInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Julia KlicksInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Elena von MolitorInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Tiziana CesettiInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Florian KellerInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Roman BruchInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Torsten Ertongur-FauthB.R.A.I.N. AG, Zwingenberg, Germany.
Katja RiedelB.R.A.I.N. AG, Zwingenberg, Germany.
Paul ScholzB.R.A.I.N. AG, Zwingenberg, Germany.
Thorsten LauZentralinstitut für Seelische Gesundheit, Department of Translational Brain Research, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Richard SchneiderTIP Oncology, Merck Healthcare KGaA, Darmstadt, Germany.
Julia MeierTIP Oncology, Merck Healthcare KGaA, Darmstadt, Germany.
Mathias HafnerInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Rüdiger RudolfInstitute of Molecular and Cell Biology, Faculty of Biotechnology, Mannheim University of Applied Sciences, Mannheim, Germany.
Mannheim University of Applied Sciences · DEMerck (Germany) · DECentral Institute of Mental Health · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional cell cultures, such as spheroids and organoids, serve as increasingly important models in fundamental and applied research and start to be used for drug screening purposes. Optical tissue clearing procedures are employed to enhance visualization of fluorescence-stained organs, tissues, and three-dimensional cell cultures. To get a more systematic overview about the effects and applicability of optical tissue clearing on three-dimensional cell cultures, we compared six different clearing/embedding protocols on seven types of spheroid- and chip-based three-dimensional cell cultures of approximately 300 μm in size that were stained with nuclear dyes, immunofluorescence, cell trackers, and cyan fluorescent protein. Subsequent whole mount confocal microscopy and semi-automated image analysis were performed to quantify the effects. Quantitative analysis included fluorescence signal intensity and signal-to-noise ratio as a function of z-depth as well as segmentation and counting of nuclei and immunopositive cells. In general, these analyses revealed five key points, which largely confirmed current knowledge and were quantified in this study. First, there was a massive variability of effects of different clearing protocols on sample transparency and shrinkage as well as on dye quenching. Second, all tested clearing protocols worked more efficiently on samples prepared with one cell type than on co-cultures. Third, z-compensation was imperative to minimize variations in signal-to-noise ratio. Fourth, a combination of sample-inherent cell density, sample shrinkage, uniformity of signal-to-noise ratio, and image resolution had a strong impact on data segmentation, cell counts, and relative numbers of immunofluorescence-positive cells. Finally, considering all mentioned aspects and including a wish for simplicity and speed of protocols - in particular, for screening purposes - clearing with 88% Glycerol appeared to be the most promising option amongst the ones tested.

Indexed as

glyceroloptical tissue clearingorganoidspheroidz-compensation

Identifiers

PMID32154265
PMCPMC7046628
OpenAlexW3008097711

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.