AÑO
2019
CATEGORÍA
Cuerpo
OBJETIVOS
Salud y bienestar
PAL. CLAVE
diagnostic , Smart Phones, test for malaria
PAÍS
Netherlands
CRÉDITOS
Jan Sebastian van Ackeren, Linde de Jonge, Krishna Thiruvengadam Rajagopal, Julieta Bolanos, Francesco De Fazio, Gerianne Boer
LINK
https://www.jamesdysonaward.org/2018/project/excelscope-20-1/
EXCELSCOPE 2.0
A semi-automated, smart Malaria diagnostic device in your pocket
A semi-automated, smart Malaria diagnostic device using a ball-lens enhanced smartphone, which reduces workload in developing countries while increasing accuracy and decreasing cost of diagnoses. The Excelscope reduces workload of medical staff in developing countries by automating the analysis of blood samples. It captures multiple field of views within a blood sample and uses an algorithm to determine the number of malaria parasites present.