ArticleScientific reports2021
Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- The evolution of mosquito baiting: from chemical and electronic methods toward AI.Parasites & vectors · 2026Review
- A two-stage OOD-aware approach for mosquito species detection based on RT-DETRv2.Scientific reports · 2026Article
- Advancing insect monitoring: analysis of mel-frequency cepstral coefficients from optical signals for body orientation estimation.Applied physics. B, Lasers and optics · 2026Article
- How technologies are driving digital innovation in mosquito surveillance systems: a global scoping review over the past decade.BMJ public health · 2026Article
- Deadliest Animals with the Thinnest Wings: Near-Infrared Properties of Tropical Mosquitoes.Applied spectroscopy · 2025Article
- Automated insect detection and biomass monitoring via AI and electrical field sensor technology.Scientific reports · 2025Article
- Acoustic monitoring for tropical insect conservation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Integrated taxonomy to advance species delimitation of the Anopheles maculipennis complex.Scientific reports · 2024Article
- Article
- Differences in maleiScience · 2024Article
- Measuring factors affecting honey bee (Hymenoptera: Apidae) attraction to soybeans using bioacoustics monitoring.Journal of insect science (Online) · 2024Article
- Chasing Flies: The Use of Wingbeat Frequency as a Communication Cue in Calyptrate Flies (Diptera: Calyptratae).Insects · 2022Article
- A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy.Parasites & vectors · 2022Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Recognition and classification of mosquitoes is a critical component of vector-borne disease management. Vector surveillance, based on wingbeat frequency and other parameters, is becoming increasingly important in the development of automated identification systems, but inconsistent data quality and results frequently emerge from different techniques and data processing methods which have not been standardized on wingbeat collection of numerous species. We developed a simple method to detect and record mosquito wingbeat by multi-dimensional optical sensors and collected 21,825 wingbeat files from 29 North American mosquito species. In pairwise comparisons, wingbeat frequency of twenty six species overlapped with at least one other species. No significant differences were observed in wingbeat frequencies between and within individuals of Culex quinquefasciatus over time. This work demonstrates the potential utility of quantifying mosquito wingbeat frequency by infrared light sensors as a component of an automated mosquito identification system. Due to species overlap, wingbeat frequency will need to integrate with other parameters to accurately delineate species in support of efficient mosquito surveillance, an important component of disease intervention.
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