We are a manufacturer of electronics for use in scientific and industrial applications requiring high performance and reliability. Producing a wide range of products from preamplifiers for PMT's and electron multipliers, to high voltage power supplies , counters and timers, precision rate meters, and computer interfaces, our commitment to quality and customer satisfaction is paramount to us.
Advanced Research Instruments is also the home of AutoSEM 1, a pc-based image analyzer for SEMs (Scanning Electron Microscope) that performs live, automatic, interactive image and x-ray analysis. Of vital importance to ARI is to be able to provide the highest level of value to our customers. The most competitively priced, yet state of the art system, AutoSEM 1 provides the highest resolution, simultaneous image analysis and image/x-ray analysis, as well as automatic, unattended analysis of many fields, image enhancement, archiving, histograms and reports.
We also provide specialized services including image analysis and enhancement, as well as airborne particle, gun shot residue, and solid water pollutant 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.