Since we were founded in l945, we have built up a reputation as one of the world's leading manufacturers of all types of selenium photoelectric (photovoltaic) cells; we have also developed our own range of Megatron light meters (also called: lightmeters, illuminance meters, photometers, brightness meters, white light meters, luxmeters), matched to our photocells. The design of these meters is kept up to date to give ease of use together with the benefits of accuracy and good performance.
We aim to be flexible in the service given to our customers, so if you require a modification to one of our standard light meters, or a special-purpose instrument, please get in touch with us. Nearly all our instruments are calibrated in lux, the internationally used unit of illuminance, but we can readily supply instruments calibrated in foot candles if preferred. To maintain the performance of our instruments we offer a repair service which includes everything from a calibration check to a complete re-build of outdated equipment.
This web site introduces our range of light measuring instruments and components:
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.