Metadata
Title
ChromaScope: AI/ML-powered hyperspectral fundus photography using smartphone cameras
Category
undergraduate
UUID
a3bff0efeb8b42049624222313561585
Source URL
https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-resear...
Parent URL
https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-resear...
Crawl Time
2026-03-24T05:48:31+00:00
Rendered Raw Markdown

ChromaScope: AI/ML-powered hyperspectral fundus photography using smartphone cameras

Source: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/2025/chan-chromascope.html Parent: https://engineering.cmu.edu/education/undergraduate-studies/undergraduate-research/honors-research/ece.html

The eyes provide a unique window into the broader health conditions of different organs in the body including the brain, heart, and kidney. Hyperspectral imaging has emerged as a transformative tool for enabling the discovery of novel biomarkers.\ \ This project will illuminate hidden health markers through high-quality hyperspectral fundus photography on mobile devices without eye dilation using a hardware attachment and machine learning models to enable the discovery of novel biomarkers associated with eye disease conventionally found only in images of dilated pupils.