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Cell Biology JoVE (Open Access) Citable · DOI

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

DOI: 10.3791/58362-v
What you'll learn
  • ✓ Build a microcontroller-based system to detect insect emergence timing
  • ✓ Automate large-scale measurement of emergence patterns with high precision
  • ✓ Process and visualize emergence data using automated analysis pipelines
Protocol

Measurement of insect emergence patterns requires precision. Existing systems are only semi-automated and sample size is limited. We addressed these issues by designing a system using microcontrollers to precisely measure the time of emergence of large numbers of emerging insects.

Difficulty
intermediate
Total time
~1–3 weeks (depending on insect life cycle and sample size)
Model organism
Insects (species-agnostic; commonly Diptera, Lepidoptera, or Hymenoptera)

Steps

1
Construct microcontroller-based detection system

Assemble hardware components including microcontrollers, sensors, and housing to create an automated insect emergence detection apparatus. This system enables simultaneous monitoring of multiple emergence containers.

▶ 00:23
2
Deploy detection system and introduce insects

Set up the detection apparatus in the experimental environment, position emergence containers, and introduce insect pupae or pre-emergence stages. Calibrate sensors and verify autonomous operation.

▶ 02:55
3
Conclude experiment and extract data

Monitor emergence events until completion, then retrieve timestamped emergence records from the microcontroller system and export raw data for analysis.

▶ 04:27
4
Process and visualize emergence data

Import timestamped emergence records into R or equivalent statistical software, apply data cleaning protocols, and generate graphs and summary statistics of emergence patterns.

▶ 05:23
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