Das D, Vongpromek R, Assawariyathipat T, Srinamon K, Kennon K, Stepniewska K, Ghose A, Sayeed A, Faiz M, Netto R, Siqueira A, Yerbanga S, Ouédraogo J, Callery J, Peto T, Tripura R, Koukouikila-Koussounda F, Ntoumi F, Ong’echa J, Ogutu B, Ghimire P, Marfurt J, Ley B, Seck A, Ndiaye M, Moodley B, Sun L, Archasuksan L, Proux S, Nsobya S, Rosenthal P, Horning M, McGuire S, Mehanian C, Burkot S, Delahunt C, Bachman C, Price R, Dondorp A, Chappuis F, Guérin P, Dhorda M. Field evaluation of the diagnostic performance of EasyScan GO: a digital malaria microscopy device based on machine-learning. Malaria Journal 2022, 21: 122. PMID: 35413904, PMCID: PMC9004086, DOI: 10.1186/s12936-022-04146-1.Peer-Reviewed Original Research