From CT Scans to 3D Models: A Comprehensive Approach for Insect-Based Research

Insects are vital to ecosystem health but may face increased risks due to RF-EMF (Radio-Frequency Electromagnetic Field) exposure from advancing telecommunication networks, especially with the shift from 4G to 5G. Understanding these effects requires detailed biological models for accurate simulations. This project presents a comprehensive workflow for converting insect CT scans into anatomically accurate 3D models, designed to handle the specific challenges of insect data, such as missing body parts and non-ideal positioning. Using free software tools, particularly Blender with custom Python scripts, the workflow enables the transformation of raw CT data into refined, watertight 3D meshes. The primary goal is to establish a reusable and adaptable pipeline that meets diverse research needs, including assessing environmental impacts of RF-EMF exposure on insects. To demonstrate the workflow's application, a 26GHz electromagnetic simulation was conducted in Sim4Life, showcasing RF-EMF interaction with insect anatomy. Following simulation, the models were imported into Blender for enhanced manipulation and analysis. This workflow, along with the CT scan data, is accessible on Sketchfab and published in open repositories, adhering to FAIR (Findable, Accessible, Interoperable, Reusable) principles to broaden accessibility and support reproducibility. By providing an open, accurate approach to biological modeling, this project facilitates advances in environmental impact research and aids in understanding the potential effects of technology on critical insect populations.