| Autor: |
Rossetti BJ; Department of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA., Dynes T; Department of Biology, Emory University, Atlanta, GA, 30322, USA., Brosi B; Department of Environmental Sciences, Emory University, Atlanta, GA, 30322, USA., de Roode JC; Department of Biology, Emory University, Atlanta, GA, 30322, USA., Kong J; Department of Biomedical Informatics, Emory University, Atlanta, GA, 30322, USA. |
| Abstrakt: |
1. Methods for measuring animal movement are critical for understanding numerous ecological and evolutionary processes. However, few methods are available for small organisms, and even fewer methods offer consistent individual-level resolution while remaining affordable, scalable and operable in the field. 2. We describe a low-cost animal movement tracking method with a user-friendly graphical interface, called GRAPHITE. Our automated software can quantify motions of insects by offline video analysis of inexpensive and lightweight human-readable tags attached to individual insects. The integrated graphical editor provides a full-featured environment for users to review the generated tracking data and make individual- or group-level edits. 3. GRAPHITE is a novel video analysis and graphical editing software (MATLAB v.9.0.0+) that identifies tags in image frames with a minimal false negative rate, links sequences of corresponding tags into "tracks" for each individual insect, infers the tag identifier, and provides a user-friendly graphical environment for editing tracking data. Users can either batch process raw video data using the full analysis pipeline or execute GRAPHITE modules independently for a tailored analysis. 4. We demonstrate the efficacy of the developed software with a specific application to the movement of honey bees at the entrance of hives. However, this system can be easily modified to track individually marked insects of 3 mm and larger. A notable advantage of this method is its ability to provide easy access to individual-level tracking data using human-readable tags. |
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