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Neuroscience
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a...
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a...
JoVE Journal
Neuroscience
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JoVE Journal Neuroscience
SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

Full Text
8,710 Views
08:13 min
December 25, 2017

DOI: 10.3791/56803-v

Justas Birgiolas1, Christopher M. Jernigan1, Richard C. Gerkin1, Brian H. Smith1, Sharon M. Crook1,2

1School of Life Sciences,Arizona State University, 2School of Mathematical and Statistical Sciences,Arizona State University

Overview

This protocol provides a detailed methodology for using SwarmSight, an open-source software, to track the movements of insect antennae and proboscis from video recordings. The approach utilizes conventional webcam technology and aims to enhance accuracy and speed compared to human tracking methods, enabling researchers to investigate behavioral modifications in response to various stimuli.

Key Study Components

Area of Science

  • Neuroscience
  • Behavioral Biology
  • Insect Physiology

Background

  • This study focuses on measuring the movements of insect appendages to understand their behavioral responses.
  • The methodology developed is applicable across various insect systems, not limited to honey bees.
  • The technique facilitates the study of reactions to chemical, developmental, and genetic changes.
  • The software processes video data considerably faster than manual tracking, enhancing efficiency in data collection.

Purpose of Study

  • To develop an accessible method for measuring insect appendage movements accurately and quickly.
  • To enable researchers to study the dynamics of responses to odors in honey bees as a model organism.
  • To illustrate the effects of experimental conditions on antenna and proboscis movement.

Methods Used

  • The study employs an open-source tracking software, SwarmSight, alongside standard webcam equipment for data capture.
  • Honey bees are used as a biological model, with detailed protocols for their immobilization and positioning for video recording.
  • No multiomics or metabolic analysis is mentioned.
  • Important steps include adjusting camera settings and optimizing lighting to enhance the visibility of the appendages.
  • Data collection involves filming bees exposed to various odor conditions and analyzing the video with the tracking software.

Main Results

  • The software tracked antenna angle changes quantitatively, revealing significant differences across experimental conditions.
  • Results included the establishment of antenna location preference clusters in response to odor stimuli, demonstrating behavioral adaptation.
  • The tracking validation indicated consistent performance in detecting antennae movements across video frames.
  • Considerable insights into chemical stimulus response mechanisms were derived from analyzing the movement patterns.

Conclusions

  • This study showcases a robust methodology for high-throughput analysis of insect behaviors related to sensory stimuli.
  • The use of open-source software facilitates widespread application in behavioral neuroscience research without the need for specialized equipment.
  • Insights from this work enable a better understanding of the effects of environmental cues on insect movement and behavior.

Frequently Asked Questions

What are the advantages of using SwarmSight?
SwarmSight is free and open-source, significantly speeding up video analysis and providing high accuracy in tracking movements compared to manual methods.
How are the honey bees prepared for video recording?
Bees are collected and immobilized using a harness and heated wax while being positioned under a camera for optimal viewing.
What types of data are obtained from this method?
The method yields quantitative data on antenna angles and movement patterns in response to different odor conditions, revealing behavioral adaptations.
Can this method be adapted for other insect species?
Yes, the protocol is versatile and can be applied to various insect models beyond honey bees.
What limitations should be considered when using this technique?
Careful setup of the camera and lighting is crucial for accurate tracking. Proper safety measures should be taken when working with bees and chemicals.

This protocol describes steps for using the novel software, SwarmSight, for frame-by-frame tracking of insect antenna and proboscis positions from conventional web camera videos using conventional computers. The free, open-source software processes frames about 120 times faster than humans and performs at better than human accuracy.

The overall goal of this procedure is to rapidly measure the movements of insect antennae and proboscis from video of a common animal preparation using open-source swarm site software and conventional camera and computer hardware. These methods can be used to rapidly obtain high resolution measurements of antenna and proboscis movements. Application of these methods can elucidate how antenna and proboscis movements change in response to chemical, developmental, and genetic manipulations.

The main advantage of this technique is that it can rapidly measure the movements using free software and does not require sophisticated video or computer hardware. Though this method can provide insight into odor responses in honey bees, it can also be applied to other insect systems. To begin, use vials to collect worker bees from the entrance of the hive, and briefly place the vials into an ice slurry.

With duct tape, secure each bee in a harness tube and then apply tape over the top of the tube to hide the legs. Ensure the legs cannot be seen from the top of the harness tube. Next, under a dissection microscope, use a low temperature soldering iron to apply heated wax to the back of each bee's head to immobilize it.

Use a small rod to hold the antenna away from the wax and ensure that the antennae can move freely. Use a web cam holder to position a camera directly above the bee's head, and use the recording software to inspect the video and zoom into the head. After the tape and wax are applied, preview the scene using the camera and look for anything that might be moving or changing that is not the antenna or proboscis.

Then adjust tape and wax as needed. Then, use the recording software settings to maintain constant camera exposure and adjust the exposure slider to the desired value. Adjust contrast, brightness, and sharpness sliders to enhance antenna detection.

Adjust the ambient lighting to reduce antenna shadows. Use a diffuse light source, such as a laboratory goose neck lamp or a flashlight with paper to illuminate the bee. Next, place an LED light placed within the camera view to indicate when the stimulus odor is delivered.

In a fume hood, prepare odor cartridges, which will be used to stimulate the bees during video recordings. Position the odor delivery source near the harness tube, taking care not to obstruct the camera view. Position a vacuum source opposite the odor source to remove stimulus odors, and turn it on prior to odor presentation.

Once bees are restrained and camera preparations are complete, film each individual bee under each experimental condition as a separate video file. Next, in the swarm site antenna tracking module, click on the browse button to open a video file. After the video file loads, place the antenna sensor widget over the bee's head.

Use the rotation and scale icons to adjust widget alignment. The widget should cover the full range of motion on the bee's antenna. Next, place the treatment sensor widget over the LED light that indicates when stimulus odor is being delivered.

Click the play button in the bottom left corner to commence frame by frame display of the video file. The likely antenna and proboscis points will be highlighted in yellow, and the yellow rings will indicate the appendage tips. Adjust the sliders in the filters section to optimize filter sensitivity.

When the ideal sensitivity is achieved, only the bee's appendages will be highlighted in the frame. Fast forward through subsequent parts of the video to ensure filter sensitivity is optimized throughout the entire video. Test your set-up by making a short sample video of the insect and analyze it with the software, looking for extraneous moving objects that the software detects.

Adjust the scene, lighting, and camera angle until the software isolates the antennae and proboscis movements. After setting up the widgets and filters, pause the video, restart it, and play it from the beginning to the end. Finally, expand the save section, click the save tracking data button, and select a folder in which to save the file.

To validate the appendage tracking software, two human raters located the tips of the antennae in 425 video frames, which were then analyzed by the software. The distance between the two human raters is demonstrated in this figure, with inter-human distance and distance between locations detected by the software and the human raters is demonstrated with software-closest human distance. The inter-human distance was small for frames at the beginning and then increased during the second half of the video.

Software-closest human distance levels remain constant throughout the video. 23 female honey bees were exposed to five different odor conditions, and videos of the trials were analyzed using the appendage tracking software. With the exception of the control condition, the software was able to detect significant differences in mean antennae angle changes after exposure to experimental odor conditions.

Additionally, antenna angle density maps revealed antenna location preference clusters. Red clusters in the map indicate that the antennae prefer angles away from the odor source shortly after odor onset and prefer angles toward the odor source shortly after odor conclusion. While attempting this procedure, it is important to remember to carefully inspect each video scene prior to recording for optimal bee placement and lighting.

Additionally, it is important to mark the odor delivery frames with a visual indicator. After performing this procedure, other methods, such as odor conditioning, can be performed. This procedure is also useful for exploring innate responses in honey bees and other insects.

Don't forget that working with bees and certain chemicals can be hazardous. Appropriate personal protective equipment should always be worn while performing this procedure. Once mastered, this procedure can be used to efficiently obtain antenna and proboscis movement data for a large number of insects and experimental conditions.

Swarm Sight, the open-source software used in this procedure can be obtained from swarmsight.org.

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Insect AntennaeProboscis Extension ReflexReal-time TrackingVideo RecordingOpen-source SoftwareConventional HardwareHoney BeesOdor Response

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