Automated microscopy for routine malaria diagnosis: a field comparison on Giemsa-stained blood films in Peru.

Published Online: September 25, 2018


Microscopic examination of Giemsa-stained blood films remains a major form of diagnosis in malaria case management, and is a reference standard for research. However, as with other visualization-based diagnoses, accuracy depends on individual technician performance, making standardization difficult and reliability poor. Automated image recognition based on machine-learning, utilizing convolutional neural networks, offers potential to overcome these drawbacks. A prototype digital microscope device employing an algorithm based on machine-learning, the Autoscope, was assessed for its potential in malaria microscopy. Autoscope was tested in the Iquitos region of Peru in 2016 at two peripheral health facilities, with routine microscopy and PCR as reference standards. The main outcome measures include sensitivity and specificity of diagnosis of malaria from Giemsa-stained blood films, using PCR as reference.

Read Publication


Torres K, Bachman CM, Delahunt CB, Alarcon Baldeon J, Alava F, Gamboa Vilela D, Proux S, Mehanian C, McGuire SK, Thompson CM, Ostbye T, Hu L, Jaiswal MS, Hunt VM, Bell D

More Buzz From IV

Why We’re Reinventing the Door and Window

A new study by Global Good and its partners explores how reinventing two common household items—the window and door—could save lives by keeping pesky mosquitoes out of African homes.

Read More
Intellectual Ventures Develops the First Offline Virtual Malaria Microscopy Training Course

The World Health Organization-approved eLearning tool can be used regardless of Internet access.

Read More
Inventing for Developing World Dairy Farmers
Global Good’s Manan Shukla, who recently sat down with the African publication Rural Reporters, discusses how invention can address some of the challenges faced by small-scale farmers in the developing world. Read More
We use cookies on this website to enhance your browser experience and to analyze your traffic. To learn more about cookies and how we use them view our cookie policy. By continuing to use our website you consent to the use of cookies.