1. Smartphone-based image analysis coupled to paper-based colorimetric devices
- Author
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Sanghyo Kim, SeJin Kim, Hyung-Tae Ha, and Dami Kim
- Subjects
010302 applied physics ,business.industry ,Computer science ,Color correction ,Detector ,General Physics and Astronomy ,02 engineering and technology ,Paper based ,021001 nanoscience & nanotechnology ,Chip ,01 natural sciences ,Image (mathematics) ,Set (abstract data type) ,Transformation (function) ,ComputerSystemsOrganization_MISCELLANEOUS ,0103 physical sciences ,Convergence (routing) ,General Materials Science ,Computer vision ,Artificial intelligence ,0210 nano-technology ,business - Abstract
Advancements in technology have led to the use of smartphones as biosensor detectors. However, it is difficult to obtain stable color information of colorimetric sensors using multiple smartphones owing to different light conditions and image correction operations. In this study, we attempted color detection of the colorimetric paper chip using smartphone-embedded light-emitting diode (LED) and simple transformation calculation. This method enables the acquisition of stable color information using different smartphones by reducing the influence of external light sources. Moreover, we studied characteristics such as convergence and distinction of detection result details by the manufacturers and smartphones. These findings suggested the necessity of classification criteria for the use of smartphones to achieve optimal detection. In addition, white and black references were used to set the standard for color correction of various light sources. Based on our results, we conclude that this approach presents the possibility of smartphone-based colorimetric detection in practical applications.
- Published
- 2020
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