PROBLEM
Hyperspectral imaging captures all wavelengths of visible light and can be used to detect a variety of skin and retinal conditions and some cancers. Most of the research at improving hyperspectral imaging health care applications focuses on specialized equipment, which is relatively bulky, slow and expensive.
SOLUTION
Purdue University researchers have developed technology to reconstruct the full spectrum of visible light in each image of an ordinary smartphone camera image. This AI-driven technology can be used to detect and diagnose medical conditions like anemia faster and more accurately than highly specialized medical equipment being developed for the task.
PRIMARY INVESTIGATOR
Young Kim, College of Engineering
IN THE MEDIA
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LICENSING CONTACTS
Email: otcip@prf.org
MEDIA CONTACT
Email: Steve Martin // sgmartin@prf.org
QUOTE
“Utilizing a ubiquitous part of modern life – the smartphone – for improving healthcare has immense potential. Technology such as this can help diagnose medical conditions earlier leading to earlier treatment and ultimately better patient outcomes.” – Clayton Houck, Licensing Associate – Life Sciences