Lateral flow assays
(LFAs) are widely adopted for fast, on-site
molecular diagnostics. Obtaining high-precision assay results, however,
remains challenging and often requires a dedicated optical setup to
control the imaging environment. Here, we describe quick light normalization
exam (qLiNE) that transforms ubiquitous smartphones into a robust
LFA reader. qLiNE used a reference card, printed with geometric patterns
and color standards, for real-time optical calibration: a photo of
an LFA test strip was taken along with the card, and the image was
processed using a smartphone app to correct shape distortion, illumination
brightness, and color imbalances. This approach yielded consistent
optical signal, enabling quantitative molecular analyses under different
illumination conditions. We adapted qLiNE to detect cortisol, a known
stress hormone, in saliva samples at point-of-use settings. The assay
was fast (15 min) and sensitive (detection limit, 0.16 ng/mL). The
serial qLiNE assay detected diurnal cycles of cortisol levels as well
as stress-induced cortisol increase.