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Currently in development

EyeFyx uses nanotechnology to adjust digital images and text, allowing people that suffer from farsightedness (presbyopia) to view images on screens without requiring reading glasses.

There are two components that enables the user to view clearly - the screen protector and software.


We partnered with Nanyang Technological University in Singapore to test clear films imprinted with different nano-lens structures. The aim of these tests is to fine-tune the parameters of the lens structure and software.

The first set of lenses has been manufactured and testing began mid-August 2019. The process of refining the nano-optics of the screen protector is expected to last several months. At the same time, researchers are also working on enhancing the software algorithms.

The low cost and flexibility of the NIL manufacturing process means that new product lines can be developed quickly as new products reach the market.


EyeFyx uses special embedded software in combination with nano-imprinting lithography (NIL) to produce a thin-film lens for screen protectors that renders clear images onto the retina of a person with blurred vision.

Woman Having Eyes Examined


The potential market demand for such a vision-correcting screen application is significant. Farsightedness (presbyopia) is one of the most common causes for blurred vision and becomes even more common with age. Virtually everyone over 50 will suffer from presbyopia at some point in their lives.


While EyeFyx technology could be incorporated in a range of digital devices, from tablets and e-readers to cash registers and car dashboards, Nanoveu’s primary focus is to develop a vision-correcting screen protector for global smartphone and tablet markets.



Assistant Professor, Nanyang Technological University

Dr. (Steve) Cuong Dang is an Assistant Professor at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore. He received Ph.D. in Physics and M.Sc. in Electrical and Computer Engineering from Brown University, Rhode Island, USA.


Dr. Dang’s research on nanophotonics, optical imaging and light wave manipulation has been published and highlighted in top international journals including Nature Photonics and Nature Nanotechnology. The research discovery on spectral decorrelation of speckle patterns through scattering media has been developed to single-shot multi-spectral imaging technology which has caught great attention from both academia and industry. The idea was listed as top 100 scientific spin-off ideas in 2018.


His research and development with QD Vision Inc., Lexington, MA, USA was recognized with the first quantum dot product for solid state lighting: “Quantum LightTM Optic”. Then it has been further developed as "Color IQ", the world’s first high-volume Quantum Dot product for LCD Televisions. Sony’s BRAVIA 4K 65-inch Televisions that use QD Vision's Color IQ were named Best of Show Product at the Consumer Electronics Show (CES) 2013 with their colour enhancement. 


Senior Research Fellow, Nanyang Technological University


Senior Research Fellow, Nanyang Technological University

Phil is a Senior Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore. He received his Ph.D. in 3D displays from De Montfort University (DMU) in the UK in 2002. Since then he has worked on four multi-million EU-funded 3D display projects as a senior Research Fellow at DMU.


In that time he has also been a Visiting Researcher at the National Physical Laboratory and University College London. Phil wrote two of the proposals, MUTED and HELIUM3D where the lead partner was DMU. In 2013 he was invited to Singapore to write the ‘Towards the Reality of 3D Imaging and Display’ proposal. This was successful and resulted in the 5-year, $9m project that finished in 2019. 

Dr. (Bill) Chibiao Chen is a Senior Research Fellow at the School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), Singapore. He received his Ph.D. from the same school. He received his post-doctoral training from the National Institute for Research in Computer Science and Automation (INRIA), France.


Dr. Chen published papers on wavelets, image analysis, statistical modeling, and machine learning in international conferences and journals. He has more than ten-year’s hands-on experience in developing industrial-strength software for machine vision, motion control, and metrology. He is currently in charge of the algorithm development and performance optimization for the EyeFyx project.


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