Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.

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Title: Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
Authors: Buckingham, Steven D.1 (AUTHOR), Partridge, Frederick A.1 (AUTHOR), Poulton, Beth C.1,2 (AUTHOR), Miller, Benjamin S.3 (AUTHOR), McKendry, Rachel A.3,4 (AUTHOR), Lycett, Gareth J.2 (AUTHOR), Sattelle, David B.1 (AUTHOR) d.sattelle@ucl.ac.uk
Source: PLoS Neglected Tropical Diseases. 6/3/2021, Vol. 15 Issue 6, p1-17. 17p.
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  Data: Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Neglected+Tropical+Diseases%22">PLoS Neglected Tropical Diseases</searchLink>. 6/3/2021, Vol. 15 Issue 6, p1-17. 17p.
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        Value: 10.1371/journal.pntd.0008639
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        Text: English
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      – TitleFull: Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
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            NameFull: Partridge, Frederick A.
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              Text: 6/3/2021
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              Y: 2021
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