ArticleNature protocols2019
Using DeepLabCut for 3D markerless pose estimation across species and behaviors.
Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 743 papers, 1 of them a synthesis that pooled it.
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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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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
743 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Realignment of representational drift in mouse visual cortex via flexible electrode arrays.Nature biomedical engineering · 2026Article
- Behavioral characterization of dynamic facial expression perception in rhesus monkeys (Macaca mulatta) using naturalistic and synthetic stimuli.Animal cognition · 2026Article
- A novel rat spatial inference task reveals rapid deduction of transitive relationships using schemas and deliberation.Behavioral neuroscience · 2026Article
- Deep Learning-Based Quantification of Spontaneous Pain Behaviours in Mice.European journal of pain (London, England) · 2026Article
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- A basolateral amygdala to dorsolateral striatum projection modulates stimulus-evoked motor behavior.Neuron · 2026Article
- Lasting aversive consequences of a single dose of 4-hydroxytamoxifen.bioRxiv : the preprint server for biology · 2026Article
- Development of the zebrafish foveal analogue: a quantitative atlas of high-acuity zone growth and retinal regionalisation.Biology open · 2026Article
- PSD-95 drives binocular vision maturation critical for predation.bioRxiv : the preprint server for biology · 2026Article
- DeepLabCut-based automated system reveals diverse temperature tolerance among medaka strains and related Oryzias species.Scientific reports · 2026Article
- Asymmetrical modulation of fear expression via GABAProceedings of the National Academy of Sciences of the United States of America · 2026Article
- Hoverfly responses to looming stimuli depend on elevation and speed.The Journal of experimental biology · 2026Article
- The multilevel exploration test, a novel paradigm to measure exploratory behavior in depression animal models and the involvement of the PL-ZI circuit.Acta pharmacologica Sinica · 2026Article
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- Dynamics of jaw kinematics and fundamental frequency suggest vocal tract tuning in the indris' song.PLoS computational biology · 2026Article
683 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Noninvasive behavioral tracking of animals during experiments is critical to many scientific pursuits. Extracting the poses of animals without using markers is often essential to measuring behavioral effects in biomechanics, genetics, ethology, and neuroscience. However, extracting detailed poses without markers in dynamically changing backgrounds has been challenging. We recently introduced an open-source toolbox called DeepLabCut that builds on a state-of-the-art human pose-estimation algorithm to allow a user to train a deep neural network with limited training data to precisely track user-defined features that match human labeling accuracy. Here, we provide an updated toolbox, developed as a Python package, that includes new features such as graphical user interfaces (GUIs), performance improvements, and active-learning-based network refinement. We provide a step-by-step procedure for using DeepLabCut that guides the user in creating a tailored, reusable analysis pipeline with a graphical processing unit (GPU) in 1-12 h (depending on frame size). Additionally, we provide Docker environments and Jupyter Notebooks that can be run on cloud resources such as Google Colaboratory.
Indexed as
Identifiers
31227823What OpenQuestion holds
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.