Development of an automated biomaterial platform to study mosquito feeding behavior

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dc.citation.articleNumber1103748en_US
dc.citation.journalTitleFrontiers in Bioengineering and Biotechnologyen_US
dc.citation.volumeNumber11en_US
dc.contributor.authorJanson, Kevin D.en_US
dc.contributor.authorCarter, Brendan H.en_US
dc.contributor.authorJameson, Samuel B.en_US
dc.contributor.authorde Verges, Jane E.en_US
dc.contributor.authorDalliance, Erika S.en_US
dc.contributor.authorRoyse, Madison K.en_US
dc.contributor.authorKim, Paulen_US
dc.contributor.authorWesson, Dawn M.en_US
dc.contributor.authorVeiseh, Omiden_US
dc.date.accessioned2023-02-16T20:32:55Zen_US
dc.date.available2023-02-16T20:32:55Zen_US
dc.date.issued2023en_US
dc.description.abstractMosquitoes 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, p < 0.0001), suggesting our platform’s use as a repellent screening assay in the future. The platform is scalable, compact, and reduces dependence on vertebrate hosts in mosquito research.en_US
dc.identifier.citationJanson, Kevin D., Carter, Brendan H., Jameson, Samuel B., et al.. "Development of an automated biomaterial platform to study mosquito feeding behavior." <i>Frontiers in Bioengineering and Biotechnology,</i> 11, (2023) Frontiers Media S.A.: https://doi.org/10.3389/fbioe.2023.1103748.en_US
dc.identifier.doihttps://doi.org/10.3389/fbioe.2023.1103748en_US
dc.identifier.urihttps://hdl.handle.net/1911/114457en_US
dc.language.isoengen_US
dc.publisherFrontiers Media S.A.en_US
dc.rightsThis is an author's post-print. The published article is copyrighted by the author and distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.titleDevelopment of an automated biomaterial platform to study mosquito feeding behavioren_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpost-printen_US
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