Accuracy of smartphone camera urine photo colorimetry as indicators of dehydration

ABSTRACT:

Objective

Direct urine color assessment has been shown to correlate with hydration status. However, this method is subject to inter- and intra-observer variability. Digital image colorimetry provides a more objective method. This study evaluated the diagnostic accuracy of urine photo colorimetry using different smartphones under different lighting conditions, and determined the optimal cut-off value to predict clinical dehydration.

Methods

The urine samples were photographed in a customized photo box, under five simulated lighting conditions, using five smartphones. The images were analyzed using Adobe Photoshop to obtain Red, Green, and Blue (RGB) values. The correlation between RGB values and urine laboratory parameters were determined. The optimal cut-off value to pred

SUBMITTER: Bustam A 

PROVIDER: S-EPMC10474791 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature