Founded in 1977, Biospherical Instruments Inc. (BSI) is a small, privately owned, research-oriented company that designs and manufactures scientific instrumentation for environmental monitoring. Over the past two decades, BSI has established an international reputation as a leading manufacturer of state-of-the-art optical instruments for the oceanographic, atmospheric, water quality, and biological sciences communities. BSI's products include specialized UV and visible wavelength radiometers for use in aquatic environments, atmospheric UV radiation monitoring systems, and commercial water quality monitoring systems.
Our aquatic and atmospheric instruments have been deployed by researchers in all the world's oceans and in some of the most extreme environments on Earth -- Antarctica and the Arctic. Our aquatic instruments are used for a wide range of oceanographic and limnologic research, ranging from ocean color/remote sensing and primary productivity studies to military underwater communication and visibility research. Our atmospheric UV radiometers are used by researchers worldwide for monitoring UV radiation and studying stratospheric ozone depletion.
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.