Contents I. Introduction
Malaria is a deadly disease and the recent survey by the World Health Organization (WHO) has estimated that malaria causes over 200 million cases of fever annually [1]. The diagnosis of the disease requires powerful and expensive tools unavailable for the poorest countries of the world, where often the disease is endemic. Microscopic malaria diagnosis is, by far, considered to be the most effective diagnostic method, but it is highly time-consuming and labour intensive. The accuracy of the system solely depends on the expertise of the microscopist. Other techniques widely involved in Malaria diagnosis are Rapid Diagnostic Tests (RDTs) and Polymerase Chain Reaction (PCR) tests [3]. However, the accuracy of these tests depends on the extent of infection with sensitivity directly proportional to the level of infection. Various automated malaria related diagnostic studies are described in [3]–[9]. Recognizing the potential of mobile technology and internet to revolutionize the access to information throughout the developing countries like India and Africa as well as developed nations, the work reported in this paper exposes a reliable automated Android based diagnostic platform, without expert intervention for the effective treatment and eradication of the deadly disease, which can be deployed in all the Android based mobile phones and tablets.
