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Jun 12 2020 1:48pm
RT @BrukerNano: Introducing the Hysitron TS 77 Select. Bruker's new automated benchtop nanomechanical and nanotribological test system that…
Aug 16 2019 12:18pm
RT @BrukerNano: Our new app note presents a combined #nanoindentation mapping and #EBSD study of 410 stainless steel laser cladding on a 41…
Jul 11 2019 8:39am
Hysitron is a leading supplier of nanomechanical instruments for advanced research and industrial applications. Since 1992, Hysitron has developed and supplied the most advanced instrumentation available for nanoscale surface analysis. Hysitron's instruments are designed to enhance productivity and operate with a high level of accuracy and repeatability.
Instruments such as the TriboIndenter? Ubi Series and TriboScope?offer researchers and manufacturers the ability to take accurate nanoscale measurements of mechanical properties such as hardness, elastic modulus, friction, wear resistance, and adhesive strength. The instruments enable a material evaluation scale from ultra-thin films to bulk materials. They also offer the unique ability to perform quantitative nanoindentation and nanoscratch testing independently or with in-situ scanning probe microscopy imaging.
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.