ArticleFrontiers in bioengineering and biotechnology2023
Development of an automated biomaterial platform to study mosquito feeding behavior.
Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The HOST assay: an automated video-based evaluation of mosquito attraction to thermal infrared.Nature protocols · 2026Review
- Advances in mosquito olfaction: Genetic, genomic, and behavioral approaches in Aedes aegypti.Current opinion in neurobiology · 2026Review
- YOLito: A generalizable model for automated mosquito detection.bioRxiv : the preprint server for biology · 2025Article
- A conserved odorant receptor underpins borneol-mediated repellency in culicine mosquitoes.bioRxiv : the preprint server for biology · 2024Article
- Review
- Poly(ethylene glycol)-Engrafted Graphene Oxide for Gene Delivery and Nucleic Acid Amplification.Materials (Basel, Switzerland) · 2023Review
- Engineered Human Tissue as A New Platform for Mosquito Bite-Site Biology Investigations.Insects · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Mosquitoes carry a number of deadly pathogens that are transmitted while feeding on blood through the skin, and studying mosquito feeding behavior could elucidate countermeasures to mitigate biting. Although this type of research has existed for decades, there has yet to be a compelling example of a controlled environment to test the impact of multiple variables on mosquito feeding behavior. In this study, we leveraged uniformly bioprinted vascularized skin mimics to create a mosquito feeding platform with independently tunable feeding sites. Our platform allows us to observe mosquito feeding behavior and collect video data for 30-45 min. We maximized throughput by developing a highly accurate computer vision model (mean average precision: 92.5%) that automatically processes videos and increases measurement objectivity. This model enables assessment of critical factors such as feeding and activity around feeding sites, and we used it to evaluate the repellent effect of DEET and oil of lemon eucalyptus-based repellents. We validated that both repellents effectively repel mosquitoes in laboratory settings (0% feeding in experimental groups, 13.8% feeding in control group,
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