APEX Technologies began to develop instruments back in 1998 in collaboration with a group of France Telecom scientists.
APEX Technologies uniqueness lays in their different approach, means and accuracy of testing high speed optical components and systems not matched by any of its competitors within the same price- performance ratio.
This group creates patentable inventions, setting new standards in Optical Test & Measurement techniques and enables Apex Technologies to deliver uniquely designed products, meeting the ever increasing needs of today’s fiber optic industry.
Based on an interferometric method, Apex Technologies ultra high resolution optical spectrum analyzer combines resolution (20MHz), wavelength accuracy (+/-3pm) and dynamic range. This is in contrast with some of the best conventional grating based optical spectrum analyzer on the market today, which have a physically limited maximum resolution of 10pm.Applications include measuring DFB relaxation oscillations, laser peak widening, tunable laser source (SMSR), optical active and passive components , ultra dense WDM systems, modulated signal analysis...
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.