Literature DB >> 19376952

Wing and body motion during flight initiation in Drosophila revealed by automated visual tracking.

Ebraheem I Fontaine1, Francisco Zabala, Michael H Dickinson, Joel W Burdick.   

Abstract

The fruit fly Drosophila melanogaster is a widely used model organism in studies of genetics, developmental biology and biomechanics. One limitation for exploiting Drosophila as a model system for behavioral neurobiology is that measuring body kinematics during behavior is labor intensive and subjective. In order to quantify flight kinematics during different types of maneuvers, we have developed a visual tracking system that estimates the posture of the fly from multiple calibrated cameras. An accurate geometric fly model is designed using unit quaternions to capture complex body and wing rotations, which are automatically fitted to the images in each time frame. Our approach works across a range of flight behaviors, while also being robust to common environmental clutter. The tracking system is used in this paper to compare wing and body motion during both voluntary and escape take-offs. Using our automated algorithms, we are able to measure stroke amplitude, geometric angle of attack and other parameters important to a mechanistic understanding of flapping flight. When compared with manual tracking methods, the algorithm estimates body position within 4.4+/-1.3% of the body length, while body orientation is measured within 6.5+/-1.9 deg. (roll), 3.2+/-1.3 deg. (pitch) and 3.4+/-1.6 deg. (yaw) on average across six videos. Similarly, stroke amplitude and deviation are estimated within 3.3 deg. and 2.1 deg., while angle of attack is typically measured within 8.8 deg. comparing against a human digitizer. Using our automated tracker, we analyzed a total of eight voluntary and two escape take-offs. These sequences show that Drosophila melanogaster do not utilize clap and fling during take-off and are able to modify their wing kinematics from one wingstroke to the next. Our approach should enable biomechanists and ethologists to process much larger datasets than possible at present and, therefore, accelerate insight into the mechanisms of free-flight maneuvers of flying insects.

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Year:  2009        PMID: 19376952     DOI: 10.1242/jeb.025379

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  29 in total

1.  Establishment of open-source semi-automated behavioral analysis system and quantification of the difference of sexual motivation between laboratory and wild strains.

Authors:  Soma Tomihara; Yoshitaka Oka; Shinji Kanda
Journal:  Sci Rep       Date:  2021-05-25       Impact factor: 4.379

2.  Wing and body motion and aerodynamic and leg forces during take-off in droneflies.

Authors:  Mao Wei Chen; Yan Lai Zhang; Mao Sun
Journal:  J R Soc Interface       Date:  2013-10-16       Impact factor: 4.118

3.  Three-dimensional reconstruction of the fast-start swimming kinematics of densely schooling fish.

Authors:  Sachit Butail; Derek A Paley
Journal:  J R Soc Interface       Date:  2011-06-03       Impact factor: 4.118

4.  Mechanical models of sandfish locomotion reveal principles of high performance subsurface sand-swimming.

Authors:  Ryan D Maladen; Yang Ding; Paul B Umbanhowar; Adam Kamor; Daniel I Goldman
Journal:  J R Soc Interface       Date:  2011-03-04       Impact factor: 4.118

5.  Flies compensate for unilateral wing damage through modular adjustments of wing and body kinematics.

Authors:  Florian T Muijres; Nicole A Iwasaki; Michael J Elzinga; Johan M Melis; Michael H Dickinson
Journal:  Interface Focus       Date:  2017-02-06       Impact factor: 3.906

6.  Using computational and mechanical models to study animal locomotion.

Authors:  Laura A Miller; Daniel I Goldman; Tyson L Hedrick; Eric D Tytell; Z Jane Wang; Jeannette Yen; Silas Alben
Journal:  Integr Comp Biol       Date:  2012-09-16       Impact factor: 3.326

7.  Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

Authors:  Weizhe Hong; Ann Kennedy; Xavier P Burgos-Artizzu; Moriel Zelikowsky; Santiago G Navonne; Pietro Perona; David J Anderson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-09       Impact factor: 11.205

Review 8.  The aerodynamics and control of free flight manoeuvres in Drosophila.

Authors:  Michael H Dickinson; Florian T Muijres
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-26       Impact factor: 6.237

9.  Neuromechanical simulation.

Authors:  Donald H Edwards
Journal:  Front Behav Neurosci       Date:  2010-07-14       Impact factor: 3.558

10.  Takeoff diversity in Diptera.

Authors:  Alexandra M Yarger; Katherine A Jordan; Alexa J Smith; Jessica L Fox
Journal:  Proc Biol Sci       Date:  2021-01-13       Impact factor: 5.349

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