ArticleeLife2019
KymoButler, a deep learning software for automated kymograph analysis.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 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.
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.
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Who cites it
74 citing papers in PubMed.
- Article
- HDAC6 inhibition alleviates mitochondrial trafficking in models of Charcot-Marie-Tooth disease type 2A.JCI insight · 2026Article
- Late Endosome Transport by RILP-RAB7A Promotes Dendrite Arborization Independently of Degradation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Huntingtin polyglutamine expansions misdirect axonal transport by perturbing motor and adaptor recruitment.iScience · 2026Article
- Using image classifiers to predict CMT2A disease-relevant mitochondrial motility phenotypes in iPSC motor neurons.bioRxiv : the preprint server for biology · 2026Article
- Auxin-inducible degradation of UNC-116 in C. elegans inhibits bidirectional dense core vesicle transport and worm locomotion on different timescales.Journal of cell science · 2026Article
- Unlocking the black box: multimodal imaging and quantitative analysis of plant vesicular trafficking.Advanced biotechnology · 2026Review
- Assessment of Lysosome Trafficking in iPSC-Derived Neurons Utilizing Time-Lapse Videos and TrackMate ImageJ Plugin Software.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Late endosome transport by RILP-RAB7A promotes dendrite arborization.bioRxiv : the preprint server for biology · 2025Article
- From cells to pixels: A decision tree for designing bioimage analysis pipelines.Journal of microscopy · 2025Article
- Live-cell magnetic manipulation of recycling endosomes reveals their direct effect on actin protrusions to promote invasive migration.Science advances · 2025Article
- Microtubule polymerization generates microtentacles important in circulating tumor cell invasion.Biophysical journal · 2025Article
- The filopodial myosin DdMyo7 is a slow, calcium-regulated motor.The Journal of biological chemistry · 2025Article
- Article
- Selective regulation of kinesin-5 function by β-tubulin carboxy-terminal tails.The Journal of cell biology · 2025Article
- A travelling-wave strategy for plant-fungal trade.Nature · 2025Article
- Heterogeneous model for superdiffusive movement of dense core vesicles in C. elegans.Scientific reports · 2025Article
- Nesprin-2 coordinates opposing microtubule motors during nuclear migration in neurons.The Journal of cell biology · 2024Article
- Dendrite injury triggers neuroprotection in Drosophila models of neurodegenerative disease.Scientific reports · 2024Article
- Article
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Kymographs are graphical representations of spatial position over time, which are often used in biology to visualise the motion of fluorescent particles, molecules, vesicles, or organelles moving along a predictable path. Although in kymographs tracks of individual particles are qualitatively easily distinguished, their automated quantitative analysis is much more challenging. Kymographs often exhibit low signal-to-noise-ratios (SNRs), and available tools that automate their analysis usually require manual supervision. Here we developed KymoButler, a Deep Learning-based software to automatically track dynamic processes in kymographs. We demonstrate that KymoButler performs as well as expert manual data analysis on kymographs with complex particle trajectories from a variety of different biological systems. The software was packaged in a web-based 'one-click' application for use by the wider scientific community (http://kymobutler.deepmirror.ai). Our approach significantly speeds up data analysis, avoids unconscious bias, and represents another step towards the widespread adaptation of Machine Learning techniques in biological data analysis.
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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.