Founded in 1987 in San Diego, CA, ACCES (Acquisition Control Communication Engineering/Systems) supplies an extensive range of analog input, analog output, digital, serial communication, and isolated I/O boards and solutions. ACCES also offers complete systems, integration services and enclosures with a quick turn around on custom projects, including software. Our products are designed for use with PC/104, PCI, Low Profile PCI, EBX, EPIC, USB, Ethernet, and ISA buses as well as distributed and wireless I/O. ACCES I/O’s leadership in its target markets is the result of technical innovation, breadth of product line, and the indisputable price/performance value that ACCES offers users in solving their real-world industrial/scientific data acquisition and control needs. ACCES is staffed by experienced engineering and technical sales professionals whose decades of cumulative instrumentation expertise have led to a very high degree of product reliability and customer satisfaction. These considerations, coupled with the firm’s standout, three-year product warranty, testify to the excellence that ACCES currently brings, and will continue to bring, to the data acquisition and control market.
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.