Excelscope 2.0


An AI microscope that detects malaria parasites

More than half of the world’s population is at risk of malaria, yet current diagnostic methods are time-consuming, expensive and require specialist training. Exceslcope 2.0 is a low-cost digital microscope that allows malaria to be detected quickly and easily by automating the analysis of blood samples. The microscope uses a smartphone camera paired with a contra-lens to increase magnification. The camera captures multiple fields of view and an algorithm determines the number of malaria parasites present, automating the process and drastically reducing the workload of medical professionals.

Team Tazama

  • Team Tazama
    Delft University of Technology – TU Delft

    Team Tazama consists of 6 Integrated Product Design Master students from the TU Delft (Jan Sebastian van Ackeren, Gerianne Boer, Julieta Bolaños Arriola, Francesco de Fazio, Linde de Jonge, Krishna Thiruvengadam Rajagopal). Together they developed the Excelscope 2.0 as part of their Master study program. The project idea was initiated by Dr. Ir. Diehl and based on the research of Ir. T.E. Agbana, who both advised the team and continued the development under the Diagnotsics for All research program.more


Excelscope 2.0 Links:

Project Website

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