Since our founding in 1987, EDT has aspired to provide limitless interface performance in industries working at the cutting edge of research and technology.
Founded by David Lowry, President, and Chet Britten, Vice President of Engineering, EDT first set new standards with single-slot interface boards developed for the Sun SPARCStation. Today, EDT speed and reliability can be found on most platforms, with an extensive line of PCI, cPCI, and PMC interface boards that accommodate just about any computer-to-computer or computer-to-device link.
EDT also provides specialized product design and consulting services. This kind of flexibility means we frequently adapt our products to meet the needs of scientists and engineers worldwide. And our service philosophy has always ensured that customers communicate directly with experts as committed to their work as you are.
Since its founding, EDT products have found their way into a broad spectrum of applications throughout the scientific, industrial and military communities. To see where and how some of these products are used, look at our Customer Links page.
When you choose EDT, we ensure you're choosing products that will perform above your expectations and with the best customer support in the industry.
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.