Evidence map›Paper›PMID 42093180›Full record

ArticleSmall methods2026

Precise 3D Tracking of Highly Non-Planar Eukaryotic Flagellar Beating Patterns Using Digital Holographic Microscopy.

Patryk Nienaltowski, Jonasz Słomka, Federica Miano, Thomas Kiørboe, Clara Martínez-Pérez, Tristan Colomb, Yves Emery, Roman Stocker

Abstract read
In one paragraph

Article in Small methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Patryk NienaltowskiInstitute of Environmental Engineering, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0003-2308-9450
Jonasz SłomkaInstitute of Environmental Engineering, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-7097-5810
Federica MianoNational Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0001-5034-0132
Thomas KiørboeNational Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID https://orcid.org/0000-0002-3265-336X
Clara Martínez-PérezInstitute of Environmental Engineering, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-9600-3331
Tristan ColombLyncée Tec SA, Lausanne, Switzerland.
Yves EmeryLyncée Tec SA, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9717-9603
Roman StockerInstitute of Environmental Engineering, ETH Zürich, Zürich, Switzerland.ORCID https://orcid.org/0000-0002-3199-0508

Funding

European Union's Horizon 2020 Research and Innovation Program under Marie Skłodowska-Curie 955910Gordon and Betty Moore Foundation Symbiosis in Aquatic Systems Initiative Investigator Award GBMF 9197Human Frontier Science Program RGP014/2024Polish National Agency for Academic Exchange BPN/PPO/2024/1/00008Simons Foundation's Principles of Microbial Ecosystems collaboration 542395FY22Swiss National Science Foundation 205321_207488Swiss National Science Foundation Ambizione PZ00P2_202188Swiss National Science Foundation National Centre of Competence in Research Microbiomes 51NF40_180575Swiss National Science Foundation Sinergia CRSII5-186422
6 · The paper itself

Abstract

Precise tracking of the rapid and complex 3D movement of eukaryotic flagella is important for understanding their roles in cellular motility, sensory functions, and resource acquisition. Yet, achieving accurate 3D kinematic reconstruction of flagellar beating patterns, particularly highly non-planar ones, remains challenging. Here we present holoV3C, a method based on Digital Holographic Microscopy (DHM) that allows precise, label-free 3D tracking of highly non-planar eukaryotic flagella with high temporal resolution. This algorithm leverages phase anomaly detection to provide a combination of high temporal and axial resolution, with 0.25 µm for beating mouse sperm flagella and down to 53 nm for polystyrene particles, across large sampling volumes in a computationally efficient manner. Algorithmic validation is performed by tracking mouse sperm flagella over time, capturing approximately 600 points along a single flagellum to achieve high axial resolution. Furthermore, we apply holoV3C to reconstruct the highly non-planar beating dynamics of the 200-nm-diameter flagellum of the protist Reclinomonas americana with a temporal resolution of 200 frames per second. By enabling 3D tracking of non-planar eukaryotic flagella, holoV3C can yield important insights to advance our understanding of flagellar dynamics, opening new avenues in the study of microorganism motility and its ecological roles.

Indexed as

FlagellaHolographyImaging, Three-DimensionalMicroscopySperm TailAlgorithmsAnimalsMaleMice3D trackingbiophysicsdigital holographic microscopyflagellar kinematics

Identifiers

PMID42093180
PMCPMC13288012

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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.