RevieweLife2023
Open-source tools for behavioral video analysis: Setup, methods, and best practices.
Review in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of artificial intelligence use in behavioral analysis of invertebrate and larval model organisms: methods, applications and future recommendations.Frontiers in artificial intelligence · 2026Pooled it
- SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment.eLife · 2026Article
- The application of deep learning in tactical analysis of football matches.Scientific reports · 2026Article
- Behavioral heterogeneity in host seeking and post-feeding suppression among disease vector mosquitoes.Communications biology · 2026Article
- Article
- Article
- SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment.bioRxiv : the preprint server for biology · 2026Article
- Robust motion detection and classification in real-life scenarios using motion vectors.PloS one · 2026Article
- Cannabinoid efficacy for pain: dose, chronicity and route.Frontiers in neuroscience · 2026Review
- Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy.Annals of neurology · 2026Article
- Article
- DIPLOMAT: multi-animal tracking with efficient manual editing.bioRxiv : the preprint server for biology · 2025Article
- Behavioral heterogeneity in host-seeking and post-feeding suppression among disease vector mosquitoes.bioRxiv : the preprint server for biology · 2025Article
- Computer vision for primate behavior analysis in the wild.Nature methods · 2025Review
- Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station.Scientific data · 2025Article
- InteBOMB: Integrating generic object tracking and segmentation with pose estimation for animal behavior analysis.Zoological research · 2025Article
- Article
- Quantifying Facial Gestures Using Deep Learning in a New World Monkey.American journal of primatology · 2025Article
- The utility of animal models to inform the next generation of human space exploration.NPJ microgravity · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Recently developed methods for video analysis, especially models for pose estimation and behavior classification, are transforming behavioral quantification to be more precise, scalable, and reproducible in fields such as neuroscience and ethology. These tools overcome long-standing limitations of manual scoring of video frames and traditional 'center of mass' tracking algorithms to enable video analysis at scale. The expansion of open-source tools for video acquisition and analysis has led to new experimental approaches to understand behavior. Here, we review currently available open-source tools for video analysis and discuss how to set up these methods for labs new to video recording. We also discuss best practices for developing and using video analysis methods, including community-wide standards and critical needs for the open sharing of datasets and code, more widespread comparisons of video analysis methods, and better documentation for these methods especially for new users. We encourage broader adoption and continued development of these tools, which have tremendous potential for accelerating scientific progress in understanding the brain and behavior.
Indexed as
Identifiers
What 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.