Conjunctival goblet cells (CGCs) are specialized epithelial cells playing key roles for ocular surface homeostasis, and their examination is important for diagnosing ocular surface diseases. Despite recent advancements in high-contrast CGC imaging for non-invasive examination, significant challenges remain for human applications. High-speed large-area imaging over the curved ocular surface is needed to assess statistically meaningful CGCs in the extensive human conjunctiva. To address this challenge, we developed a novel surface detection method and an integrated microscopy system for human use. With both a long detection range of 2 mm and a high update rate of 50 Hz, the surface detection method enabled real-time surface tracking during large-area imaging. The integrated microscopy could complete 5 × 2 patch imaging in approximately 10 s. CGC density analysis showed significantly reduced uncertainties with large-area imaging. This is the first demonstration of non-contact large-area cellular examination in humans, and this new development holds promise for non-invasive CGC examination and accurate diagnosis of ocular surface diseases.
Keywords: Extended depth-of-field imaging; Large-area non-contact imaging; Moxifloxacin-based fluorescence microscopy; Non-invasive conjunctival goblet cell imaging in humans; Real-time surface detection and tracking.
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