Point-of-care colorimetric detection with a smartphone
University of Cincinnati · Wright-Patterson Air Force Base
Abstract
Paper-based immunoassays are becoming powerful and low-cost diagnostic tools, especially in resource-limited settings. Inexpensive methods for quantifying these assays have been shown using desktop scanners, which lack portability, and cameras, which suffer from the ever changing ambient light conditions. In this work, we introduce a novel approach of quantifying colors of colorimetric diagnostic assays with a smartphone that allows high accuracy measurements in a wide range of ambient conditions, making it a truly portable system. Instead of directly using the red, green, and blue (RGB) intensities of the color images taken by a smartphone camera, we use chromaticity values to construct calibration curves of…
Citation impact
- FWCI
- 20.91
- Percentile
- 100%
- References
- 30
Authors
3Topics & keywords
- Point of care
- Point-of-care testing
- Point (geometry)
- Computer science
- Chromatography
- Chemistry
- Medicine
- Mathematics