We use the same technologies as:
Malaria cases per year in Colombia
150.000
Annual deaths in the world
1 million
40% of the world’s population under threat
Microscopic detection of Malaria
Most used methods
Thin blood smear: A laboratory professional examines the sample under a microscope and looks for parasites that are present in red blood cells.
Thick blood smear: A laboratory professional examines the sample under a microscope and looks for parasites that are present in white blood cells.
Disadvantages in interpretation
Manual counting, or human count, takes a lot of time, and when performed by a human, it has a significant error margin.
Manual counting generates visual fatigue in the specialist and it could be result in false positives and / or negatives.
Our Solution
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
How does it work?
In a thin blood smear, the laboratory professional must capture microscopic images with a 100X magnification
You can use mobile or camera
The captured microscopic fields (images) are attach to our app based on Artificial Intelligence
