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Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT)
JoVE Journal
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JoVE Journal Davranış
Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT)

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT)

DOI:
10.3791/61012-v

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08:04 min

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April 23, 2020

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, , ,
1Institute of Molecular and Cell Biology,Agency for Science, Technology and Research, 2Bioinformatics Institute,Agency for Science, Technology and Research, 3Elektrik ve Bilgisayar Mühendisliği Bölümü,Alberta Üniversitesi

Bölümler

  • 00:04Introduction
  • 00:43System Setup
  • 01:05Fly Preparation
  • 01:47Video Generation for Feature Learning Leg Segmentation and Tracking (FLLIT) Analysis
  • 02:52FLLIT Installation
  • 03:50Automated Leg Tracking
  • 05:13Data Processing and Video Generation
  • 05:54Representative Results: Automated Leg Movement Tracking in Freely-Moving Insects
  • 07:31Conclusion

Özet

Otomatik Çeviri

Otomatik Çeviri

We describe detailed protocols for using FLLIT, a fully automated machine learning method for leg claw movement tracking in freely moving Drosophila melanogaster and other insects. These protocols can be used to quantitatively measure subtle walking gait movements in wild type flies, mutant flies and fly models of neurodegeneration.

Etiketler

Leg TrackingFully AutomatedFeature LearningLeg SegmentationLeg TrackingFLLITGait AnalysisFreely Moving InsectsVideo RecordingHigh-speed CameraInfrared LEDAnesthetized FliesRecording ArenaLeg TipsStraight TrajectoryStrideBody LengthMrawTiffUbuntu

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