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 project, we have designed and developed a mobile application that uses computer vision to automatically quantify immunoassay test data on a smart phone. The speed and accuracy demonstrated by the application suggest that cell-phone based immunoassay analysis could aid disease diagnosis at the point of care.
- Nicki Dell (CSE)
- Gaetano Borriello (CSE)
- Dean Stevens (Bioengineering)
- Paul Yager (Bioengineering)
- Sugandhan Venkatachalam (Bioengineering)
- Dell, N., Venkatachalam, S., Stevens, D., Yager, P., and Borriello, G. Towards a Point-of-Care Diagnostic System: Automated Analysis of Immunoassay Test Data on a Cell Phone, 5th ACM Workshop on Networked Systems for Developing Regions (NSDR 2011) [pdf].