Researchers at the University of Arizona and University of Tübingen have made a breakthrough in retinal implant technology that could help people who have lost their sight see more than just light and vague shapes.
Nov 6, 2013
1
0
(Medical Xpress)—For UCLA bioengineering professor Wentai Liu, more than two decades of visionary research burst into the headlines last month when the FDA approved what it called "the first bionic eye for the blind."
Mar 25, 2013
0
1
People who went blind as a result of certain diseases or injuries may have renewed hope of seeing again thanks to a retinal implant developed with the help of FIU's W. Kinzy Jones, a professor and researcher in the College ...
Nov 15, 2013
0
3
Computer simulations of electrical charges sent to retinal implants based on fractal geometry have University of Oregon researchers moving forward with their eyes focused on biological testing.
Jul 27, 2017
1
63
Engineers and neuroscientists at the University of Sheffield have demonstrated for the first time that the cells in the retina carry out key processing tasks. This could pave the way for improving retinal implants and therefore ...
Jun 29, 2016
0
11
On Friday September 28, a U.S. Food and Drug Administration (FDA) Ophthalmic Devices Advisory Panel unanimously voted 19-0 that the probable benefit of the Argus II Retinal Prosthesis System outweighs the risks to health, ...
Oct 3, 2012
0
0
A patient who is the first in the UK to receive the world's most advanced 'bionic eye' has been able to read the time for the first time in more than five years.
Jan 5, 2016
0
70
To date, chip-based retinal implants have only permitted a rudimentary restoration of vision. However, modifying the electrical signals emitted by the implants could change that. This is the conclusion of the initial published ...
May 11, 2015
0
20
Research presented at the 117th Annual Meeting of the American Academy of Ophthalmology shows promising data about a device that helps people who have lost their vision due to a blinding genetic disease to recognize common ...
Nov 17, 2013
0
0
EPFL researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.
Feb 6, 2024
0
36
