Peer-Reviewed Publication
Malar J2015;14526.December 30, 2015Evaluation Study
Computer-vision-based technology for fast, accurate and cost effective diagnosis of malaria.
Bina Srivastava1, Anupkumar R Anvikar2, Susanta K Ghosh3, Neelima Mishra4, Navin Kumar5, Arnon Houri-Yafin6, Joseph Joel Pollak7, Seth J Salpeter8, Neena Valecha9
1National Institute of Malaria Research, Sector 8 Dwarka, New Delhi, 110 077, India. shbira@gmail.com.
2National Institute of Malaria Research, Sector 8 Dwarka, New Delhi, 110 077, India. anvikar@rediffmail.com.
3National Institute of Malaria Research Field Unit, Bengaluru, India. ghoshnimr@gmail.com.
4National Institute of Malaria Research, Sector 8 Dwarka, New Delhi, 110 077, India. neelima.nimr@gmail.com.
5National Institute of Malaria Research, Sector 8 Dwarka, New Delhi, 110 077, India. navinjh@gmail.com.
6Sight Diagnostics, 1 Agudat Hasport Hapoel, Jerusalem Technology Park, Jerusalem, Israel. arnon@sightdx.com.
7Sight Diagnostics, 1 Agudat Hasport Hapoel, Jerusalem Technology Park, Jerusalem, Israel. yossi@sightdx.com.
8Sight Diagnostics, 1 Agudat Hasport Hapoel, Jerusalem Technology Park, Jerusalem, Israel. seth@sightdx.com.
9National Institute of Malaria Research, Sector 8 Dwarka, New Delhi, 110 077, India. neenavalecha@gmail.com.
Abstract
BACKGROUND: Microscopy has long been considered to be the gold standard for diagnosis of malaria despite the introduction of newer assays. However, it has many challenges like requirement of trained microscopists and logistic issues. A vision based device that can diagnose malaria, provide speciation and estimate parasitaemia was evaluated.
METHODS: The device was evaluated using samples from 431…
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