Lunge Frequency
Number of high-speed forward attacks per session, classified by machine-learning pose analysis of body thrust angle
ConductVision · Behavioral Analysis
Drosophila Aggression Assay
Automated detection and quantification of fighting behavior in Drosophila.
DrosophilaSocial BehaviorAuto Export
ConductVision / Drosophila Aggression Assay
Recording / Trial 3fly tracked
Lunges23
Chase Time18.5s
Dominance0.82
Key Parameters
Metrics automatically extracted by ConductVision.
Wing Threat Duration
Cumulative time with wings elevated in bilateral threat display posture, detected via wing-angle tracking
Chase Duration
Total time the aggressor spends in oriented pursuit within two body-lengths of the opponent
Latency to First Lunge
Time from arena introduction to the first classified aggressive act, reflecting aggression threshold
Fencing Bouts
Count and duration of leg-fencing episodes during face-to-face confrontation, a ritualized fighting behavior
Dominance Score
Composite win/loss metric based on territory control, retreat frequency, and food-patch occupancy time
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Retreat Frequency
Number of rapid backward displacements following opponent lunges, inversely correlated with fighting motivation
Aggression Temporal Profile
Lunge and threat rates binned per minute across the session, revealing escalation and habituation dynamics
Tussling Events
High-contact grappling bouts where both flies are engaged in simultaneous bilateral attacks, a peak aggression indicator
Food Patch Occupancy
Fraction of time each fly controls the food resource zone, the primary territorial outcome measure in aggression assays
What is the Drosophila Aggression Assay?
Male Drosophila display stereotyped fighting behaviors including lunging, wing threats, boxing (fencing), and chasing when competing for food resources or mates. Aggression is modulated by serotonin, octopamine, and neuropeptide F circuits, providing a genetically tractable model for studying the neural basis of aggressive behavior.
ConductVision uses dual-fly identity tracking and machine-learning classification to automatically detect lunges, wing threats, chases, and retreats. The software outputs temporal ethograms and composite aggression scores for genetic screens, optogenetics, and pharmacological studies.
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