Applications

  • LIDAR Filters

    Figure 1: Diagram illustrating the difference between single and multiple return signals from an aerial laser altimeter. Image credit: Alluxa

    Figure 1. Diagram illustrating the difference between single and multiple return signals from an aerial laser altimeter.
    Image credit: Alluxa

    LIDAR (Light Detection and Ranging) 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. A wide variety of applications and sensor types exist, from laser altimeters to Raman LIDAR systems, all with different return signal strengths and LIDAR filter requirements. Therefore, LIDAR filters must be designed with the specific application and sensor type in mind in order to maximize signal-to-noise ratio.

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  • Fluorescence Filters for Microscopy and Imaging

    Figure 1: Diagram illustrating the optical filters and light path of a fluorescence microscope.

    Figure 1. Diagram illustrating the optical filters and light path of a fluorescence microscope.
    Image credit: Alluxa

    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.

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  • Flow Cytometry Filters

    Figure 1: Diagram of a flow cytometer.

    Figure 1. Diagram of a flow cytometer.
    Image credit: Alluxa

    Used across a variety of biological disciplines, fluorescence-based flow cytometers rapidly and accurately quantify cells and cellular components. As one of the most important components of these systems, flow cytometry filters must be specifically designed to maximize signal-to-noise ratios while minimizing crosstalk between fluorophores.

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