The primary focus of the company is the manufacture of vacuum coating systems, and to support existing customers with new innovations, upgrades, and maintenance of existing APX systems or retrofitting older systems made by APX or other suppliers. Applications of deposition techniques include: computer chips; superconductors; optical coatings; hard coatings; acoustic detectors; solder contacts; radiation detectors for satellites, etc. The Microlayer deposition system features multilayered computer controlled deposition, and has been made in various sizes with vacuum chambers up to approximately 1.25 meters square for 0.5 meter samples. Deposition techniques include: MBE, e beam evaporation, sputtering, plasma enhanced deposition, ion beam assist, etc. Vacuum pressures have ranged from conventional high vacuum, to pressures less than 5 x 10-11 Torr non hydrogen. Systems can and are used for routine industrial production, basic research, and product development such as tunnel junctions. In addition, APX has developed high temperature heaters, special vacuum seals, sputter guns, rotary stages, RF coupled plasma cleaning, and other devices.
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.