ArticleJournal of the Royal Society, Interface2013
Three-dimensional tracking and behaviour monitoring of multiple fruit flies.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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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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
20 citing papers in PubMed.
- A Deep Learning Framework for Multi-Object Tracking in Space Animal Behavior Studies.Animals : an open access journal from MDPI · 2025Article
- Reynolds rules in swarm fly behavior based on KAN transformer tracking method.Scientific reports · 2025Article
- DVT: a high-throughput analysis pipeline for locomotion and social behavior in adult Drosophila melanogaster.Cell & bioscience · 2023Article
- Re-wilding model organisms: Opportunities to test causal mechanisms in social determinants of health and aging.Neuroscience and biobehavioral reviews · 2023Review
- Tracking the flight and landing behaviour of western flower thrips in response to single and two-colour cues.Scientific reports · 2023Article
- Three-Dimensional Tracking of Multiple Small Insects by a Single Camera.Journal of insect science (Online) · 2021Article
- Automated measurement of long-term bower behaviors in Lake Malawi cichlids using depth sensing and action recognition.Scientific reports · 2020Article
- Simultaneous measurements of three-dimensional trajectories and wingbeat frequencies of birds in the field.Journal of the Royal Society, Interface · 2018Article
- A simple computer vision pipeline reveals the effects of isolation on social interaction dynamics in Drosophila.PLoS computational biology · 2018Article
- Rapid, topology-based particle tracking for high-resolution measurements of large complex 3D motion fields.Scientific reports · 2018Article
- 3D Holographic Observatory for Long-term Monitoring of Complex Behaviors in Drosophila.Scientific reports · 2016Article
- A novel video-tracking system to quantify the behaviour of nocturnal mosquitoes attacking human hosts in the field.Journal of the Royal Society, Interface · 2016Article
- Geroscience approaches to increase healthspan and slow aging.F1000Research · 2016Review
- Automated Tracking of Drosophila Specimens.Sensors (Basel, Switzerland) · 2015Article
- Turbulence triggers vigorous swimming but hinders motion strategy in planktonic copepods.Journal of the Royal Society, Interface · 2015Article
- A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena.PloS one · 2015Article
- Estimating Orientation of Flying Fruit Flies.PloS one · 2015Article
- Determination of the spontaneous locomotor activity in Drosophila melanogaster.Journal of visualized experiments : JoVE · 2014Article
- Dynamics of social behavior in fruit fly larvae.PloS one · 2014Article
- Development of a new method to track multiple honey bees with complex behaviors on a flat laboratory arena.PloS one · 2014Article
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
The increasing interest in the investigation of social behaviours of a group of animals has heightened the need for developing tools that provide robust quantitative data. Drosophila melanogaster has emerged as an attractive model for behavioural analysis; however, there are still limited ways to monitor fly behaviour in a quantitative manner. To study social behaviour of a group of flies, acquiring the position of each individual over time is crucial. There are several studies that have tried to solve this problem and make this data acquisition automated. However, none of these studies has addressed the problem of keeping track of flies for a long period of time in three-dimensional space. Recently, we have developed an approach that enables us to detect and keep track of multiple flies in a three-dimensional arena for a long period of time, using multiple synchronized and calibrated cameras. After detecting flies in each view, correspondence between views is established using a novel approach we call the 'sequential Hungarian algorithm'. Subsequently, the three-dimensional positions of flies in space are reconstructed. We use the Hungarian algorithm and Kalman filter together for data association and tracking. We evaluated rigorously the system's performance for tracking and behaviour detection in multiple experiments, using from one to seven flies. Overall, this system presents a powerful new method for studying complex social interactions in a three-dimensional environment.
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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.