Inclusive and Accurate Clinical Diagnostics Using Intelligent Computation and Smartphone Imaging.

ABSTRACT: Smartphone-based colorimetry has been widely applied in clinical analysis, although significant challenges remain in its practical implementation, including the need to consider biases introduced by the ambient imaging environment, which limit its potential within a clinical decision pathway. In addition, most commercial devices demonstrate variability introduced by manufacturer-to-manufacturer differences. Here, we undertake a systematic characterization of the potential imaging interferences that lead to this limited performance in conventional smartphones and, in doing so, provide a comprehensive new understanding of smartphone color imaging. Through derivation of a strongly correlated parameter for sample quantification, we enable real-time imaging, which for the first time, takes the

SUBMITTER: Chen J 

PROVIDER: S-EPMC11519924 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature