Solving the world’s toughest optical challenges through advanced optical materials, systems, and design
Corning’s unmatched expertise in specialty glass and optical physics results in a diverse set of products from industry-leading materials such as HPFS® and ULE® to full optical systems including automated laser glass-cutting and non-contact metrology instruments.
The Advanced Optics businesses include Corning Laser Technologies for laser processing machines, Optical Materials and Technologies for manufacturing materials and full optical systems, Precision Glass Solutions for glass wafers enabling mobile consumer electronics, and Specialty Glass and Glass Ceramics for applications including medical X-ray shielding.
DUV and VUV Microlithographic Objective Optical Designs
Micro-Objectives of Immersion Lithography
Opto-Mechanical Closed Loop Structure Optimization Software
Advanced Precision of Zernike Fit to Phase Maps
Production and Engineering Optical Design Compensation
Mid-Wave Infrared Continuous Zoom Development
Measuring Symmetric Aberrations in Aspheric Surfaces
Advantages of Using a Vertically Integrated Optical Systems Supplier
Tropel UltraFlat 200 Mask System from Corning Advanced Optics
Tropel FlatMaster Multi-Surface Profiler from Corning Advanced Optics
The Thermo Scientific™ ARL™ EQUINOX 3000 X-ray Diffractometer for research enables accurate measurements.
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.