APA (7th ed.) Citation

Buckingham, S. D., Partridge, F. A., Poulton, B. C., Miller, B. S., McKendry, R. A., Lycett, G. J., & Sattelle, D. B. (2021). Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Buckingham, Steven D., Frederick A. Partridge, Beth C. Poulton, Benjamin S. Miller, Rachel A. McKendry, Gareth J. Lycett, and David B. Sattelle. Automated Phenotyping of Mosquito Larvae Enables High-throughput Screening for Novel Larvicides and Offers Potential for Smartphone-based Detection of Larval Insecticide Resistance. Public Library of Science (PLoS), 2021.

MLA (8th ed.) Citation

Buckingham, Steven D., et al. Automated Phenotyping of Mosquito Larvae Enables High-throughput Screening for Novel Larvicides and Offers Potential for Smartphone-based Detection of Larval Insecticide Resistance. Public Library of Science (PLoS), 2021.