Bien manger pour des yeux en pleine santé http://t.co/0baIeTrC #santé #oculaire #alimentation
Aug 23 2012 5:23am
Les méthodes les plus efficaces pour rincer son étui à lentilles http://t.co/2ROop7iP #etui #lentilles #entretien
Aug 22 2012 10:43am
Nouvelle application iPhone pour porteurs de lentilles ! http://t.co/IGb8Dv2m #application #lentilles #LenseFacts
Aug 20 2012 10:55am
Since developing the first rigid contact lens in Japan, Menicon has spearheaded the contact lens industry. It continues to develop safe, high-quality products, and applies the technology developed through contact lenses to pioneer new businesses in fields other than eye care. As a creative specialist company, it provides products and services needed by society.
To guide the company in its new stage of development as a global corporation, it has formulated a new philosophy: "To be a global enterprise that is friendly to people, animals and the environment." Menicon has incorporated ecology as a key element in R&D, as part of its effort to repay the entire Earth with the technology and wisdom it possesses.
Next-Generation Augmented Reality Contact Lenses from Menicon and Mojo Vision
The TheiaVu™ Series is a range of benchtop inspection systems that allow the user to take a wide variety of measurements, and to record repeatable, reliable data to improve processes.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.