ArticleiScience2022
Systematic characterization of wing mechanosensors that monitor airflow and wing deformations.
Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 40 citations in OpenAlex.
- Fly-by-Feel: Advancements and Applications of Bio-Inspired Wind-Hair Sensors on Fixed-Wing UAVs.Biomimetics (Basel, Switzerland) · 2026Article
- Structural dynamics and neural representation of wing deformation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The secrets of the extreme durability of odonata wings.Annals of the Entomological Society of America · 2025Article
- Passive mechanisms in flying insects and applications in bio-inspired flapping-wing micro air vehicles.Proceedings. Biological sciences · 2025Review
- Bioinspired Morphing in Aerodynamics and Hydrodynamics: Engineering Innovations for Aerospace and Renewable Energy.Biomimetics (Basel, Switzerland) · 2025Review
- Evolution, types, and distribution of flight control devices on wings and elytra in bark beetles.Scientific reports · 2024Article
- Intraspecific Variation in the Placement of Campaniform Sensilla on the Wings of the HawkmothIntegrative organismal biology (Oxford, England) · 2024Article
- Functional fibrillar interfaces: Biological hair as inspiration across scales.Beilstein journal of nanotechnology · 2024Review
- Lessons from natural flight for aviation: then, now and tomorrow.The Journal of experimental biology · 2023Review
- Complex hemolymph circulation patterns in grasshopper wings.Communications biology · 2023Article
- Nonuniform structural properties of wings confer sensing advantages.Journal of the Royal Society, Interface · 2023Article
- Embodied airflow sensing for improved in-gust flight of flapping wing MAVs.Frontiers in robotics and AI · 2022Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Animal wings deform during flight in ways that can enhance lift, facilitate flight control, and mitigate damage. Monitoring the structural and aerodynamic state of the wing is challenging because deformations are passive, and the flow fields are unsteady; it requires distributed mechanosensors that respond to local airflow and strain on the wing. Without a complete map of the sensor arrays, it is impossible to model control strategies underpinned by them. Here, we present the first systematic characterization of mechanosensors on the dragonfly's wings: morphology, distribution, and wiring. By combining a cross-species survey of sensor distribution with quantitative neuroanatomy and a high-fidelity finite element analysis, we show that the mechanosensors are well placed to perceive features of the wing dynamics relevant to flight. This work describes the wing sensory apparatus in its entirety and advances our understanding of the sensorimotor loop that facilitates exquisite flight control in animals with highly deformable wings.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.