Using primarily low-cost mobile components, MI2 has developed a highly portable diagnostic microscopy system with performance of desktop clinical microscopes, but at a small fraction of the cost. The cigarette box sized units can be widely distributed in regions with very limited infrastructure, e.g. electricity, running water, and laboratory facilities; and does not require extensive training.  Laboratory testing at teach hospitals in the greater Chicago area has demonstrated the ability to identify major infectious diseases in the developing countries including helminth infections, malaria, and TB.  Furthermore three major Plasmodium species causing malaria can be differentiated. 

A fully automated disease diagnostics algorithm using an innovative end-to-end deep neural network algorithm running on the mobile platform will be used for cell identification, classification, and counting, resulting in disease identification.  Large-scale data reporting, management, and epidemiology analysis software is also being developed.