Evidence map›Paper›PMID 34151237›Full record

ArticleiScience2021

Rapid methods for the evaluation of fluorescent reporters in tissue clearing and the segmentation of large vascular structures.

Nils Kirschnick, Dominik Drees, Esther Redder, Raghu Erapaneedi, Abel Pereira da Graca, Michael Schäfers, Xiaoyi Jiang, Friedemann Kiefer

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Visualizing C. difficile During Murine Infection.Methods in molecular biology (Clifton, N.J.) · 2026
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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

8 authors at 1 institution in 1 country.

Nils KirschnickEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
Dominik DreesInstitute of Computer Science, University of Münster, Einsteinstraße 62, 48149 Münster, Germany.
Esther RedderEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
Raghu ErapaneediEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
Abel Pereira da GracaEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
Michael SchäfersEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
Xiaoyi JiangInstitute of Computer Science, University of Münster, Einsteinstraße 62, 48149 Münster, Germany.
Friedemann KieferEuropean Institute of Molecular Imaging, University of Münster, Waldeyerstraße 15, 48149 Münster, Germany.
University of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light sheet fluorescence microscopy (LSFM) of large tissue samples does not require mechanical sectioning and allows efficient visualization of spatially complex or rare structures. Therefore, LSFM has become invaluable in developmental and biomedical research. Because sample size may limit whole-mount staining, LSFM benefits from transgenic reporter organisms expressing fluorescent proteins (FPs) and, however, requires optical clearing and computational data visualization and analysis. The former often interferes with FPs, while the latter requires massive computing resources. Here, we describe 3D-polymerized cell dispersions, a rapid and straightforward method, based on recombinant FP expression in freely selectable tester cells, to evaluate and compare fluorescence retention in different tissue-clearing protocols. For the analysis of large LSFM data, which usually requires huge computing resources, we introduce a refined, interactive, hierarchical random walker approach that is capable of efficient segmentation of the vasculature in data sets even on a consumer grade PC.

Indexed as

computational bioinformaticsOptical imaging

Identifiers

PMID34151237
PMCPMC8192726
OpenAlexW3164279055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.