MALARIA REKOGNIZER is an application for Windows (8 and 10) based on Artificial Intelligence that helps considerably to reduce times, costs, and error margin in a thin blood smear. It replaces the manual counting of parasites present in cells.
Manual count (human)
Malaria Rekognizer: Remarkable faster
Remarkable reduction of error margin
Effectiveness Percentage > than 96% (see image 1)
Margin of error < than 4%
Image 1: Effectiveness Percentage
How does it work?
In a thin blood smear, the laboratory professional must capture microscopic images with a 100X magnification
You can use a mobile or camera to take the photos (jpg or png formats)
It’s recommended that there are a maximum of 20 images of fields with 250 cells each one of them