Hyperspectral Imaging: Beyond Limitations of Human Color Vision | Dr. Narine Sarvazyan | TEDxYSMU

In her TEDx talk Dr. Narine Sarvazyan explains if how Hyperspectral Imaging could help us in our daily lives. Particularly in medicine it brings new perspectives and opportunities to find and cure several diseases efficiently. Narine Sarvazyan is a professor of cardiovascular physiology at the George Washington University School of Medicine and Health Sciences. Her work has been funded by the National Institutes of Health, the National Science Foundation and the American Heart Association. She received a number of prestigious awards, including the Established Investigator Award from the American Heart Association and the Distinguished Teacher Award from the GW School of Medicine. Her research aims to better understand the mechanisms behind cardiac arrhythmia and new imaging techniques to treat them. Other directions include the development of stem cell sources with improved immunological compatibility and creation of rhythmically contracting cuffs of heart muscle cells that surround vessels of choice to help propel biological fluids. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

[@hspeq]

Hyperspectral imaging is showing promise for use in the clinic! Very exciting field, thanks for the talk.

[@drajitshekher]

This is the best single source information, on the limitations of human vision & use of alternate spectra.
I have been interested in the limitations of the human visual apparatus for 15 years, as a hobby. I've also been interested in UV and florescence imaging for 8 years. I also I try to use new diagnostic imaging technologies.
I would really like to know more about this subject.

[@titanasatryan8888]

Great talk. Simple, Informative and usable

[@rohitdholpuriya5229]

Very informative lecture..thank you

[@gijoraj623]

Superb talk. Amazing.

[@rue.olearywalker]

I’d like to see more regulation of technologies within civilian targeted sectors 🙏
You are a great speaker (your jokes deserved more laughs!)

[@azamtariq2559]

Amazing info,, thanks Ma'am

[@kevinlcarlson]

I find myself wondering how this approach would differ from simply using a bright white diffuse light source and then filtering out specific bandwidths with image processing

[@sabar-automasi]

Good information

[@rayhanuthama-5917]

i would have to see if my computer vision can distinguish whether this metalic surface or just white

[@RealSaudiExplorer]

Is this type of technology that will enable people to see through my cloth?!

[@TheKasperlkopf]

Very long intro