McBain Instruments is an exclusive regional dealer for Leica Microsystems. In business since 1965, McBain is a leader in developing custom designed optical systems, incorporating the latest technologies in motion control and digital imaging. From industrial manufacturing to biomedical research, from precision XYZ measuring systems to customized integrated laboratory research instruments, McBain can be found worldwide, wherever innovation, accuracy and exacting specifications are required.
We service and repair microscopes. All makes, models and vintages.We can also service your comparators, stereo microscopes , hardness testers, cryostats, autostainers, tissue processors, microtomes, cover slippers and fiber optic illuminators with quality work and quick turnarounds. Our calibration services are traceable to ANSI / NCSL Z540-1. McBain Instruments is one of the largest optical equipment & repair organizations in the USA, with over nineteen factory trained, field service technicians.We have an extensive inventory of spare parts and components for most manufactuter's microscopes.
McBain to Display Newly Launched Wafer Handling Systems at Semicon West
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.