Optical Building Blocks Corporation (OBB) designs, produces and markets state-of-the-art, proprietary electro-optical components and instrumentation used in leading research institutions around the world. Today OBB offers three main product groups of equipment; Interconnectable "Optical Building Blocks", Microscope Accessories, and Bench-Top Instruments.
At Optical Building Blocks we pride ourselves on the technical content of our extensive web page. Our goal is to provide all the information our customers and distributors could possibly need so that they can fully understand the capabilities, specifications and configurations of our components and instruments. And this on-line content is continuously updated with new information, to better achieve that goal.
You shouldn’t have to be forced to talk to a sales person just to learn about a product you are interested in. Please visit us at www.obbcorp.com to see what’s new at Optical Building Blocks and get the latest product information.
OBB Corp Launch New DeltaRAM-X Illuminator for Fluorescence Microscopy
Broadband Arc Lamp Housing and Power Supply PowerArc™
Tunable PowerArc™ Illuminator Light Source from OBB
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.