Newsletter | October 13, 2020

10.13.20 -- Optical Filter Insights: Applications, Specifications, And Definitions

Understanding LIDAR Filters

LIDAR is a highly versatile active remote sensing technique that is used in earth and atmospheric sciences, autonomous vehicles, urban planning, and many other applications. Some of the most important components of LIDAR sensors are the filters that isolate target signals, while preventing sunlight and other extraneous light from reaching the detector. LIDAR filters must be designed with the specific application and sensor type in mind in order to maximize signal-to-noise ratio.

What Are Thin-Film Optical Filters?

Thin-film optical filters are made by depositing alternating thin layers of materials with special optical properties onto a substrate, such as optical-grade glass. As light makes its way through the optical filter, its direction changes as it passes from one layer to the next, resulting in internal interference.

Utilizing Fluorescence Filters For Microscopy And Imaging

Fluorescence microscopes and imaging systems utilize fluorescent biomarkers and fluorescence filter sets to create bright, high-contrast images of biomolecules, organelles, cells, tissues, organs, and organ systems. Because image quality is highly dependent on the design and overall performance of the fluorescence filters integrated into these systems, optical filter performance is just as important to the final image as sample preparation and fluorophore selection.

Optical Filter Specifications

This covers the basics of a number of optical filter specifications including angle of incidence, polarization, surface flatness, surface quality, temperature dependence, and more. Definitions and diagrams are provided for each specification as well.

Thin-Film Glossary

Optical filters can be designed to transmit, block, or reflect light at any wavelength range from the UV to the IR. This glossary defines a number of terms related to thin-film optical filters, their components, and their use.