A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Open data kit sensors: mobile data collection with wired and wireless sensors
Proceedings of the 2nd ACM Symposium on Computing for Development
Open data kit sensors: a sensor integration framework for android at the application-level
Proceedings of the 10th international conference on Mobile systems, applications, and services
Mobile tools for point-of-care diagnostics in the developing world
Proceedings of the 3rd ACM Symposium on Computing for Development
Kwiizya: local cellular network services in remote areas
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
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Many of the diagnostic tests administered in well-funded clinical laboratories are inappropriate for point-of-care testing in low-resource environments. As a result, inexpensive, portable immunoassay tests have been developed to facilitate the rapid diagnosis of many diseases common to developing countries. However, manually analyzing the test results at the point of care may be complex and error-prone for untrained users reading test results by eye, and providing methods for automatically processing these tests could significantly increase their utility. In this paper, we present a mobile application that automatically quantifies immunoassay test data on a smart phone. The speed and accuracy demonstrated by the application suggest that cell-phone based analysis could aid disease diagnosis at the point of care.