Evidence map›Paper›PMID 33683488›Full record

ArticleThe European physical journal. E, Soft matter2021

CiliaQ: a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images.

Jan Niklas Hansen, Sebastian Rassmann, Birthe Stüven, Nathalie Jurisch-Yaksi, Dagmar Wachten

Abstract read
In one paragraph

Article in The European physical journal. E, Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
–field-weighted citation impact
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

58 citing papers in PubMed.

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  18. "Design principles of a membrane-spanning ubiquitin ligase".bioRxiv : the preprint server for biology · 2025
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  19. ARL13B-Cerulean rescuesbioRxiv : the preprint server for biology · 2025
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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

5 authors.

Jan Niklas HansenInstitute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127, Bonn, Germany. jan.hansen@uni-bonn.de.ORCID http://orcid.org/0000-0002-0489-7535
Sebastian RassmannInstitute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127, Bonn, Germany.
Birthe StüvenInstitute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127, Bonn, Germany.
Nathalie Jurisch-Yaksi *Department of Clinical and Molecular Medicine, The Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0000-0002-8767-6120
Dagmar Wachten *Institute of Innate Immunity, Biophysical Imaging, Medical Faculty, University of Bonn, 53127, Bonn, Germany. dwachten@uni-bonn.de.ORCID http://orcid.org/0000-0003-4800-6332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cilia are hair-like membrane protrusions that emanate from the surface of most vertebrate cells and are classified into motile and primary cilia. Motile cilia move fluid flow or propel cells, while also fulfill sensory functions. Primary cilia are immotile and act as a cellular antenna, translating environmental cues into cellular responses. Ciliary dysfunction leads to severe diseases, commonly termed ciliopathies. The molecular details underlying ciliopathies and ciliary function are, however, not well understood. Since cilia are small subcellular compartments, imaging-based approaches have been used to study them. However, tools to comprehensively analyze images are lacking. Automatic analysis approaches require commercial software and are limited to 2D analysis and only a few parameters. The widely used manual analysis approaches are time consuming, user-biased, and difficult to compare. Here, we present CiliaQ, a package of open-source, freely available, and easy-to-use ImageJ plugins. CiliaQ allows high-throughput analysis of 2D and 3D, static or time-lapse images from fluorescence microscopy of cilia in cell culture or tissues, and outputs a comprehensive list of parameters for ciliary morphology, length, bending, orientation, and fluorescence intensity, making it broadly applicable. We envision CiliaQ as a resource and platform for reproducible and comprehensive analysis of ciliary function in health and disease.

Indexed as

AnimalsCell LineCell MembraneCiliaHumansMiceMicroscopy, FluorescenceOptical ImagingProteinsSoftwareProteins

Identifiers

PMID33683488
PMCPMC7940315

What OpenQuestion holds

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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.