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

Results

🗸 Total number of infected samples

🗸 Total number of NOT infected samples

🗸 Infected percentage

🗸 NOT infected percentage