Awesome #2WIN brochure made by US Ophthalmic! @usophthalmic #2WIN #MobileBinocularRefractometer… https://t.co/74vOyotUn3
Sep 19 2017 11:19am
Try out the innovative mobile wireless refraction system at @usophthalmic booth at the #VisionExpoWest #adaptica… https://t.co/AmTFmRNel6
Sep 15 2017 4:55am
The Mobile Wireless Refraction System is ready on the market, read more on:
Dec 28 2016 10:54am
Adaptica incorporates the research and the innovative technologies developed by a team of researchers at the University of Padua, (Italy) in the fields of optics and opto-electronics.
During the course of academic research and advanced optical designs, the Adaptica team has developed adaptive optics systems, in particular single photon communications with deformable mirrors, non-linear effects and ultra-short pulses.
These are now commercially available.
PAN Membrane Deformable Mirrors for Adaptive Optic Applications
Saturn Deformable Mirrors for Adaptive Optic Applications
Spatial Light Moderator -Charon by Adaptica
Wavefront Sensor - Mercury from Adaptica
Membrane Deformable Mirror - Saturn from Adaptica with Push-Pull Technology
Adaptive Optics Teaching Solution - Didaptica from Adaptica
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.