ArticleRoyal Society open science2020
Computer-assisted beat-pattern analysis and the flagellar waveforms of bovine spermatozoa.
Article in Royal Society open science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- 3D+t human sperm flagellum centerline dataset.Scientific data · 2026Article
- Quantification of flagellar gait changes with combined shape mode analysis and swimming simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Swimming by Spinning: Spinning-Top Type Rotations Regularize Sperm Swimming Into Persistently Progressive Paths in 3D.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Sperm quality analyzer: A portable LED array microscope with dark-field imaging.Bioengineering & translational medicine · 2024Article
- Self-organized vortex phases and hydrodynamic interactions in Bos taurus sperm cells.Physical review. E · 2024Article
- Article
- Biological benefits of collective swimming of sperm in a viscoelastic fluid.Frontiers in cell and developmental biology · 2022Article
- Review
- CiliaQ: a simple, open-source software for automated quantification of ciliary morphology and fluorescence in 2D, 3D, and 4D images.The European physical journal. E, Soft matter · 2021Article
- Modelling Motility: The Mathematics of Spermatozoa.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
Obstructed by hurdles in information extraction, handling and processing, computer-assisted sperm analysis systems have typically not considered in detail the complex flagellar waveforms of spermatozoa, despite their defining role in cell motility. Recent developments in imaging techniques and data processing have produced significantly improved methods of waveform digitization. Here, we use these improvements to demonstrate that near-complete flagellar capture is realizable on the scale of hundreds of cells, and, further, that meaningful statistical comparisons of flagellar waveforms may be readily performed with widely available tools. Representing the advent of high-fidelity computer-assisted beat-pattern analysis, we show how such a statistical approach can distinguish between samples using complex flagellar beating patterns rather than crude summary statistics. Dimensionality-reduction techniques applied to entire samples also reveal qualitatively distinct components of the beat, and a novel data-driven methodology for the generation of representative synthetic waveform data is proposed.
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Registered trials
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.