BuzzWatch : uncovering temporal patterns in mosquito behavior

Welcome to BuzzWatch! This website provides comprehensive documentation and resources associated to this article :

BuzzWatch manuscript

Click to read the full article (PDF)

📄 Preprint on bioRxiv 🔗 GitHub rep. for the BuzzWatch GUI app 📥 Data to reproduce analysis from the preprint

Follow our step-by-step guides to go from laser-cutting acrylic pieces to generating publication-ready activity plots of your mosquito experiments.

• Guides
  • 1 - Building acrylic structure and assemble electronic parts.
    • 1.1 - Design Acrylic Cage
    • 1.2 - Laser Cut Acrylic
    • 1.3 - Cage Assembly
    • 1.4 - Raspberry Pi Camera Set-Up
    • 1.5 - [Optional] Raspberry Pi to Light
    • 1.6 - [Optional] Raspberry Pi to Measure the Environment
  • 2 - Housing mosquitos and manage experiments
    • 2.1 - Introduce mosquitos in the cage
    • 2.2 - Manage sugar-feeding
    • 2.3 - Examples environment container
    • 2.4 - Terminate experiment and cleaning
  • 3 - Recording

    Set-up and adjust Raspberry Pi to continuously record .mp4 videos.

    • 3.1 - Copy Raspberry Pi BuzzWatch image
    • 3.2 - Test live video display
    • 3.3 - Adjust video settings
    • 3.4 - Set-up schedule for continuous recording
    • 3.5 - Manage video storage
  • 4 - Tracking

    Extract mosquito state and trajectories from .mp4 movies.

    • 4.1 - Install buzzwatch_analysis python packages
    • 4.2 - Segmentation and tracking strategy
    • 4.3 - Test analysis on single video
    • 4.4 - Run analysis in batch
    • 4.5 - QC
  • 5 - Analyzing

    Visualize and compare long-term activity between conditions.

    • 5.1 - Overview of analysis scheme
    • 5.2 - Generate raw data time series
    • 5.3 - Day-to-day variability
    • 5.4 - Long-term trends
    • 5.5 - Comparing different conditions
• Complete set-up examples

  Examples of tower, insectarium, etc.

• Help

  Troubleshooting, suggestions.