Articles by Christopher M. Jernigan in JoVE
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware Justas Birgiolas1, Christopher M. Jernigan1, Richard C. Gerkin1, Brian H. Smith1, Sharon M. Crook1,2 1School of Life Sciences, Arizona State University, 2School of Mathematical and Statistical Sciences, Arizona State University This protocol describes steps for using the novel software, SwarmSight, for frame-by-frame tracking of insect antenna and proboscis positions from conventional web camera videos using conventional computers. The free, open-source software processes frames about 120 times faster than humans and performs at better than human accuracy.
Other articles by Christopher M. Jernigan on PubMed
SwarmSight: Measuring the Temporal Progression of Animal Group Activity Levels from Natural-scene and Laboratory Videos Behavior Research Methods. Apr, 2017 | Pubmed ID: 27130170 We describe SwarmSight (available at https://github.com/justasb/SwarmSight ), a novel, open-source, Microsoft Windows software tool for quantitative assessment of the temporal progression of animal group activity levels from recorded videos. The tool utilizes a background subtraction machine vision algorithm and provides an activity metric that can be used to quantitatively assess and compare animal group behavior. Here we demonstrate the tool's utility by analyzing defensive bee behavior as modulated by alarm pheromones, wild-bird feeding onset and interruption, and cockroach nest-finding activity. Although more sophisticated, commercial software packages are available, SwarmSight provides a low-cost, open-source, and easy-to-use alternative that is suitable for a wide range of users, including minimally trained research technicians and behavioral science undergraduate students in classroom laboratory settings.