- Study on insect wing hinge control mechanics was conducted by researchers at California Institute of Technology.
- The study utilized a genetically encoded calcium indicator to image steering muscles activity in flies while tracking 3D wing motion.
- A Convolutional Neural Network (CNN) was trained to predict wing motion from steering muscle activity and wingbeat frequency.
- An encoder-decoder was employed to predict the role of individual sclerites on wing motion.
- Virtual experiments were carried out to assess the impact of modulating wing motion via steering muscle activity on aerodynamic forces.
- The study concludes that the insect wing hinge is a complex and evolutionarily significant skeletal structure.
- The study utilized a genetically encoded calcium indicator to image steering muscles activity in flies while tracking 3D wing motion.
- A Convolutional Neural Network (CNN) was trained to predict wing motion from steering muscle activity and wingbeat frequency.
- An encoder-decoder was employed to predict the role of individual sclerites on wing motion.
- Virtual experiments were carried out to assess the impact of modulating wing motion via steering muscle activity on aerodynamic forces.
- The study concludes that the insect wing hinge is a complex and evolutionarily significant skeletal structure.
