Innovations in Optics is pushing the technology envelope to develop industry-leading ultra high brightness LED products incorporating patented and patent-pending optics to direct and maximize output uniformity and efficiency, enabling some of today’s most revolutionary solutions in light.
Recognized as one of the leading innovators in the areas of high brightness LED chip-on-board (COB) products and illumination engineering and technology, Innovations in Optics leverage a unique, multidisciplinary approach to systems design to help engineers around the world bring cutting-edge turnkey optical solutions to market faster.
Serving as a contract engineering company specializing in photonics engineering in its early days, our organization was exposed to many challenges as we worked with start-up and well established companies to solve complex problems and to design and prototype high-performance optical product solutions.
The Company has transitioned over the last several years to develop and manufacture standard High Brightness LED products and custom OEM solutions in our state-of-the-art facility and at our contract management partner facilities.
High-brightness LED products and OEM solutions
LumiSun™-50 Class AAA LED Solar Simulator
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.