Leveraging the advantages of these new platforms, here we introduce an RDT reader technology inte- grated on the Google Glass. This wearable computa- tional platform allows for rapid hands-free imaging and processing of any number of RDTs, which can be very useful for disease and medical condition testing and monitoring in remote locations, disaster relief areas, or quarantine zones. The RDTs to be imaged can be either held in the user's hand (see Figure 1b) or laid fl at on a surface. Using a Quick Response (QR) code37 identi
fi er, which is custom-designed and at- tached to each RDT cassette, this system is capable of automatically
fi nding and identifying the type of the RDT of interest, along with other information (e.g., patient data) that can be linked to the same QR code. Adding the ability to recognize and process additional RDT types can then be done on our cen- tralizedserverswithoutanyneedtoupdatetheGoogle Glass RDT reader software. Furthermore, our servers provide a centralized database and Web interface for visualizing uploaded data in the form of a spatiotem- poral map, which can be quite useful for short- and long-term spatiotemporal tracking of the evolution of infectious diseases and other conditions. Over thepastseveral years,there hasbeenconsider- able research and development e ff ort to create automated digital test readers capable of both quali- tative and quantitative analysis of RDTs.3847 These have mainly appeared in the form of bulky but high- throughput desktop readers which generally read only a speci
fi c set of RDTs. More recently, mobile-phone- based readers capable of working with a number of tests have also been introduced.4850 For example, in our previous work,48 we created a compact and cost- e ff ective RDT reader optical attachment installed on a cell phone that can work with various lateral fl ow immunochromatographic assays to detect the presence and strength of a target analyte. Other