Nailfold Capillaroscopy Platform
Microvascular imaging and digital diagnostics
Prototype NFC workstation with AI-assisted vessel overlays.Abstract
Nailfold capillaroscopy (NFC) enables early detection of systemic sclerosis, lupus, and other microvascular disorders by imaging capillaries at the nailbed. We are building a turnkey platform that standardizes image capture, performs AI-powered analysis, and reports clinically relevant biomarkers in real time.
System Components
- Acquisition hardware with controlled illumination, autofocus, and patient guidance cues
- Image enhancement pipeline for denoising, color normalization, and glare suppression
- Capillary analytics that measure loop density, tortuosity, hemorrhages, and avascular areas
- Clinical dashboard integrating patient history, NFC trends, and decision-support recommendations
Collaborations & Impact
- Joint studies with rheumatology clinics to validate AI measurements against expert annotations
- Integration with digital healthcare records for longitudinal monitoring
- Contribution of annotated NFC datasets to the broader research community
Minji Kim
MS Student
Her research interests include computer vision, machine learning algorithms, and drone detection.
Jihong Lee
Researcher, Kwangwoon University
Her research interests include bio-medical signal processing, reinforcement learning and deep learning algorithms.
Cheolsoo Park
Professor
His research interests include machine learning, adaptive signal processing, computational neuroscience, and wearable technology.