Protocol for measuring cilium length using 3D confocal fluorescence microscopy, CiliaQ software, and a quality control pipeline

Primary cilia are cellular antennas responding to various biological cues. Cilia undergo substantial changes in length, affecting their ability to sense extracellular signals and trigger downstream effector responses. Here, we present a protocol to image cilia in 2-dimensional cell culture using immunofluorescence staining and confocal microscopy. We describe steps to analyze cilium length using the CiliaQ plugin in Fiji/ImageJ and for using CiliaQ Explorer, a Python-based pipeline that plots CiliaQ-derived data and performs a statistical analysis after quality control. For complete details on the use and execution of this protocol, please refer to Hansen et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-10-09
DOI
https://doi.org/10.1016/j.xpro.2025.104128
Primary Topic
Genetic and Kidney Cyst Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Protocol for measuring cilium length using 3D confocal fluorescence microscopy, CiliaQ software, and a quality control pipeline

Nathalie Jurisch‐Yaksi, Katharina Sieckmann, Jan N. Hansen, Dagmar Wachten et al.
STAR Protocols
Genetic and Kidney Cyst Diseases
article

Protocol for measuring cilium length using 3D confocal fluorescence microscopy, CiliaQ software, and a quality control pipeline

Nathalie Jurisch‐Yaksi, Katharina Sieckmann, Jan N. Hansen, Dagmar Wachten, Seniz Yüksel, Daniel Burgdorf
article en

Abstract

Primary cilia are cellular antennas responding to various biological cues. Cilia undergo substantial changes in length, affecting their ability to sense extracellular signals and trigger downstream effector responses. Here, we present a protocol to image cilia in 2-dimensional cell culture using immunofluorescence staining and confocal microscopy. We describe steps to analyze cilium length using the CiliaQ plugin in Fiji/ImageJ and for using CiliaQ Explorer, a Python-based pipeline that plots CiliaQ-derived data and performs a statistical analysis after quality control. For complete details on the use and execution of this protocol, please refer to Hansen et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
University of Bonn (DE), Norwegian University of Science and Technology (NO), Stanford University (US)
Openalex Percentile: Top 70%
Genetic and Kidney Cyst Diseases
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