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Hyperspectral Imagery

Hyperspectral imaging captures and processes data using a much broader range of the light spectrum than what is visible. It can be harnessed to assess the molecular, chemical, or physical information such as material quality or hidden element composition-

more than we can see with our eyes.

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Visible Spectrum

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What makes our
Artificial Intelligence
so unique?

Our artificial intelligence is undoubtedly one of a kind in its field. Many AIs for health try to imitate the decision-making process of experts in their field. But when we use human knowledge to teach a machine, the AI will always be limited by a human’s capabilities and knowledge gaps. 

We are different.

RetiSpec’s Artificial Intelligence uses the RetiSpec hyperspectral imaging technology to detect signs of Alzheimer’s disease that are yet unknown and will later become the very first measurable signs in an early and accurate diagnostic process. 

We capture retinal images with much broader range of the light spectrum than what is visible. The retina shares developmental and biological similarities to the brain, and imaging the retina is non-invasive.

RetiSpec gathers this data using it’s proprietary hyperspectral retinal imaging technology. These unique retinal images provides the basis for our AI.

RetiSpec’s AI uses this knowledge to unlock biological insights that no human eye can see – and no human knowledge can limit.





Early Detection of Amyloidopathy in Alzheimer's Mice by Hyperspectral Endoscopy

Swati S. More; James M. Beach; Robert Vince

Investigative Ophthalmology & Visual Science June 2016, Vol.57, 3231-3238. doi:

Hyperspectral Imaging Signatures Detect Amyloidopathy in Alzheimer’s Mouse Retina Well before Onset of Cognitive Decline; ACS Chem.

Swati S. More and Robert Vince

ACS Chem. Neurosci. 2015, 6, 2, 306-315

In Vivo Assessment of Retinal Biomarkers by Hyperspectral Imaging: Early Detection of Alzheimer's Disease

Swati S More, James M Beach, Collin McClelland, Ali Mokhtarzadeh, Robert Vince

ACS Chem Neurosci. 2019 Nov 20;10(11):4492-4501. doi: 10.1021/acschemneuro.9b00331. Epub 2019 Oct 24.

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