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This study aims to evaluate the diagnostic accuracy and grading consistency of a mobile phone-attached portable automatic ocular surface imaging device (PAOSID) for assessing dry eye disease (DED). Both patients diagnosed with DED and healthy volunteers will undergo conventional clinical imaging, including white-light anterior segment photography, corneal fluorescein staining (CFS) under cobalt blue light, and tear film break-up time (TBUT), all performed under slit-lamp examination, as well as meibography. Clinical grading of DED severity will follow the TFOS DEWS I criteria, while other ocular surface findings-such as conjunctival injection, meibomian gland area loss, and CFS-will be assessed using standard ocular surface disease scoring scales. Following the clinical assessment, participants will use the PAOSID device to independently capture similar ocular surface images and videos.
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