eFiberTools.com was created in response to industry demand. Technicians, Engineers
and telecom service providers from around the globe have requested that we expand
our offerings to a truly comprehensive fiber optic product line-up. For the
first time each sector in the fiber optic industry will find everything they
need under our roof whether it be for laboratory, manufacturing, LAN data networks,
telecom/cable/internet service providers, fiber to the home, or even aerospace
& military. Our goal is to be the standard by which other fiber optic suppliers
In addition to our comprehensive product coverage we also have you covered
no matter how you like to shop. When you shop eFiberTools on-line, by catalog
or phone in your order you will have very clear, informative choices. We are
using the most advanced web site technology in the industry tempered by the
latest usability techniques to provide you with a specific kind of experience.
We provide as much information and technical data as we can acquire about each
product and display it in an open, easy to understand and easy to navigate manner.
EFiberTools Launches Fiber Optic Fusion Splicer IFS-10 from Inno Instrument
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.