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A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena.

Cheng XE, Qian ZM, Wang SH, Jiang N, Guo A, Chen YQ - PLoS ONE (2015)

Bottom Line: We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases.Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance.Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China; Jingdezhen Ceramic Institute, Jingdezhen, China.

ABSTRACT
The growing interest in studying social behaviours of swarming fruit flies, Drosophila melanogaster, has heightened the need for developing tools that provide quantitative motion data. To achieve such a goal, multi-camera three-dimensional tracking technology is the key experimental gateway. We have developed a novel tracking system for tracking hundreds of fruit flies flying in a confined cubic flight arena. In addition to the proposed tracking algorithm, this work offers additional contributions in three aspects: body detection, orientation estimation, and data validation. To demonstrate the opportunities that the proposed system offers for generating high-throughput quantitative motion data, we conducted experiments on five experimental configurations. We also performed quantitative analysis on the kinematics and the spatial structure and the motion patterns of fruit fly swarms. We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases. Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance. Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment.

No MeSH data available.


Diagram of the tracking system.Three steps are detailed in section 2 (Methods).
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pone.0129657.g001: Diagram of the tracking system.Three steps are detailed in section 2 (Methods).

Mentions: We have developed an experimental imaging system consisting of a transparent cubic flight arena, two planar lights, and three high-speed cameras (Section 2.1). The three cameras are employed to capture videos of flying fruit flies. Videos are the raw observation for the tracking system. Fig 1 shows the overview of the proposed tracking method. The first step of the system is to extract high level observations (measurements) from the raw observation (Section 2.2). Measurements are input to the proposed tracking algorithm. At the tracking step (Section 2.3), the system exploits an “one-to-one” strategy, meaning that it creates (or invokes) one tracker to track one target using measurements associated with the target. After the motion state of a target has been estimated, the system invokes a validating and correcting process (Section 2.4) to achieve results that are more accurate.


A Novel Method for Tracking Individuals of Fruit Fly Swarms Flying in a Laboratory Flight Arena.

Cheng XE, Qian ZM, Wang SH, Jiang N, Guo A, Chen YQ - PLoS ONE (2015)

Diagram of the tracking system.Three steps are detailed in section 2 (Methods).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4470659&req=5

pone.0129657.g001: Diagram of the tracking system.Three steps are detailed in section 2 (Methods).
Mentions: We have developed an experimental imaging system consisting of a transparent cubic flight arena, two planar lights, and three high-speed cameras (Section 2.1). The three cameras are employed to capture videos of flying fruit flies. Videos are the raw observation for the tracking system. Fig 1 shows the overview of the proposed tracking method. The first step of the system is to extract high level observations (measurements) from the raw observation (Section 2.2). Measurements are input to the proposed tracking algorithm. At the tracking step (Section 2.3), the system exploits an “one-to-one” strategy, meaning that it creates (or invokes) one tracker to track one target using measurements associated with the target. After the motion state of a target has been estimated, the system invokes a validating and correcting process (Section 2.4) to achieve results that are more accurate.

Bottom Line: We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases.Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance.Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment.

View Article: PubMed Central - PubMed

Affiliation: School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China; Jingdezhen Ceramic Institute, Jingdezhen, China.

ABSTRACT
The growing interest in studying social behaviours of swarming fruit flies, Drosophila melanogaster, has heightened the need for developing tools that provide quantitative motion data. To achieve such a goal, multi-camera three-dimensional tracking technology is the key experimental gateway. We have developed a novel tracking system for tracking hundreds of fruit flies flying in a confined cubic flight arena. In addition to the proposed tracking algorithm, this work offers additional contributions in three aspects: body detection, orientation estimation, and data validation. To demonstrate the opportunities that the proposed system offers for generating high-throughput quantitative motion data, we conducted experiments on five experimental configurations. We also performed quantitative analysis on the kinematics and the spatial structure and the motion patterns of fruit fly swarms. We found that there exists an asymptotic distance between fruit flies in swarms as the population density increases. Further, we discovered the evidence for repulsive response when the distance between fruit flies approached the asymptotic distance. Overall, the proposed tracking system presents a powerful method for studying flight behaviours of fruit flies in a three-dimensional environment.

No MeSH data available.