What is it about?
The colourimetric method can tell you valuable information about someone’s health status, quality of water, presence of chemical substances etc. by chemical and biochemical reactions. Bringing these frequently used techniques on to an intelligent and digital platform where a user can just take a photograph of the test using his/her mobile phone and attain a faster automatic result can assist the non-experts to manage their health and save time. This research demonstrated such a system using advance algorithms that produce a highly accurate real-time result on the mobile platform by using two examples- 1) a deadly bacterium called tuberculosis (TB) and 2) a pH, i.e. potential of Hydrogen test that can tell if a biological or chemical sample is acidic or alkaline.
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This page is a summary of: Pathological test type and chemical detection using deep neural networks: a case study using ELISA and LFA assays, Journal of Enterprise Information Management, August 2020, Emerald,
DOI: 10.1108/jeim-01-2020-0038.
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