SkinLumina

Discipline: Interdisciplinary

Advisor: Chung Yong Chan

SkinLumina addresses a major challenge in dermatology: many current skin imaging tools are designed and tested on a limited range of skin types, which can make it harder to identify conditions such as bruising, scarring, discoloration, or melanoma across the full spectrum of people’s skin. Our project creates a portable skin imaging device that shines different colors of light on the skin to highlight both surface details and deeper layers. By first capturing a personalized baseline scan and then comparing it with a second scan, SkinLumina provides clearer, more accurate, and more inclusive results. The device is intended for use by dermatologists, medical researchers, and primary care providers as a supportive tool in skin analysis and early detection. Unlike many existing systems, it is designed to be low-cost, portable, and adaptable, making it more accessible and practical in real-world settings. Potential applications include improving dermatological care in clinics, advancing research on skin health, and expanding access to imaging in community healthcare. In the future, SkinLumina could also help strengthen AI-based diagnostic tools by contributing more diverse, high-quality imaging data to improve accuracy and inclusivity.

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