Learning Center

  • Angle of Incidence (AOI) and Polarization

    AOI and Snell’s Law

    Angle of incidence (AOI) refers to the tilt of an optical filter with respect to the incident light (Figures 1a-1c). The simplest case is 0° AOI, where the incident light is normal to the filter.

    Figures 1a-1c: Diagrams showing (a) normal AOI for an optical filter, (b) 45° AOI for a dichroic filter, and (c) 45° AOI for a high-reflectivity mirror.

    Figures 1a-1c: Diagrams showing (a) normal AOI for an optical filter, (b) 45° AOI for a dichroic filter, and (c) 45° AOI for a high-reflectivity mirror.

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  • Cone Half Angle (CHA)

    CHA and F-Number

    Cone half angle (CHA) describes the extent to which an incident beam is converging or diverging. It is defined as the angle between the AOI of the incident beam and the most oblique marginal ray (Figures 1a-1c). Therefore, a 0˚ CHA is synonymous with collimated light, and larger cone half angles designate a pronounced convergent or divergent beam.

    dichroic filters reflect specific wavelength ranges while transmitting others.

    Figures 1a-1c: Diagrams showing uncollimated light and cone half angle for (a) an optical filter at 0° AOI (b) a dichroic filter at 45° AOI, and (c) a high-reflectivity mirror at 45° AOI.

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  • Spectral Features

    Cut-On and Cut-Off Wavelength

    Cut-on wavelength describes an optical filter edge transition where transmission increases sharply over an increasing wavelength range, such as seen with a longpass filter. Conversely, cut-off wavelength describes an edge transition that decreases over a wavelength range, as seen with a shortpass filter. They are defined as the point on each respective edge where transmission reaches 50% of the peak (Figure 1), and are also known as 50% edge points and half-power wavelengths.

    Cut-on and cut-off wavelengths, center wavelength (CWL), and full-width at half-maximum (FWHM) for a bandpass filter.

    Figure 1: Cut-on and cut-off wavelengths, center wavelength (CWL), and full-width at half-maximum (FWHM) for a bandpass filter.

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  • Surface Flatness and Wavefront Error

    Surface Flatness Interferograms

    Surface flatness describes the deviation between the surface of an optical component and a perfectly flat reference plano surface. Optical filter surface flatness is measured using an interferometer (typically a laser Fizeau interferometer) that represents this deviation as a pattern of light and dark bands known as interference fringes. Interference fringes are a visual representation of the destructive interference that results from the difference in phase between light reflected off the optical filter and the reference flat. Once the interferogram is obtained, post-processing software can be used to create a 3D model of the surface.

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  • Temperature Dependence

    Interference filter spectra are temperature dependent. Extreme temperatures result in the expansion or contraction of the thin-film layers, resulting in a red shift with increasing temperature and a blue shift with decreasing temperature. This shift can be dramatic unless the filter has been specified and designed to operate in harsh environments, and is an especially important consideration for ultra-narrowband interference filters.

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  • Surface Quality

    Surface quality specifications refer to the type and amount of allowable imperfections on each of the coated or uncoated surfaces of an optical component. Although some surface imperfections are purely cosmetic, many can introduce unwanted scattering or make the optical filter more susceptible to laser induced damage, resulting in decreased system performance.

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  • Mechanical Dimensions

    Clear Aperture (CA)

    Clear aperture (CA) is defined as the dimensional area of an optical component over which the specifications must be met (Figure 1). It is usually specified in terms of diameter for round parts or length and width for square or rectangular parts.

    Diagram showing wedge angle and parallelism.

    Figure 1: Diagram showing the clear aperture (CA) of an optical filter.

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  • 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. This is due to the differences between the refractive indices of the materials in the dielectric thin-film coating. The configuration of the layers results in an optical filter that manipulates different wavelengths of light in different ways. Depending on the wavelength and type of optical filter, light can be reflected off of the filter, transmitted through it, or absorbed by it.

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  • 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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  • Alluxa Educational Webinar Series

    Advanced Optical Coating Design: An Open-Ended Approach

    A Webinar With Dr. Angus MacLeod, President and CEO, Thin Film Center.

    01:00 PM Eastern Daylight Time
    12:00 PM Central Daylight Time
    10:00 AM Pacific Daylight Time
    17:00 Greenwich Mean Time
    Cost: Free to attend.
    Duration: Approximately one hour.
    Presented by: Dr. Angus Macleod, President and CEO, Thin Film Center
    Sponsored by: Alluxa, Eddy Company, PG&O, and Zemax

    VIEW NOW

    Alluxa Educational Webinar Series: Advanced Optical Coating Design: An Open-Ended Approach

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  • Alluxa Introduces HELIX™ Spectral Analysis System for Measuring High-Performance Thin-Film Optical Filters

    Alannah Johansen, Amber Czajkowski, Niels Cooper, Mike Scobey, Peter Egerton, and Rance Fortenberry, PhD

    HELIX™ Spectral Analysis System accurately measures the highest-performance optical filters.

    The HELIX Spectral Analysis System has redefined measurement capabilities of high performance thin-film optical filters. HELIX is an instrument designed and developed by Alluxa Engineering staff to address the limitations of most commercially available spectrophotometers. The system’s capabilities are four-fold: it is able to track filter edges to OD7 (-70 dB), evaluate blocking to OD9 (-90 dB), resolve edges as steep as 0.4% relative to edge wavelength from 90% transmission to OD7, and resolve passbands that are as narrow as 0.1 nm at full width half maximum (FWHM).

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  • Thin-Film Interference Filters for LIDAR

    Alannah Johansen, Amber Czajkowski, Mike Scobey, Peter Egerton, and Rance Fortenberry, PhD, April 2017

    High-performance, ultra-narrowband interference filters improve LIDAR signal-to-noise ratios.

    Arguably the most versatile active remote sensing technique, LIDAR (Light Detection and Ranging) is used across platforms and across disciplines. Long known to be one of the most important technologies in Earth and atmospheric sciences, LIDAR is now being utilized for obstacle avoidance in autonomous vehicles, urban planning, security, infrastructure development, and many other applications. This surge of novel uses recently forced an influx of technological advancements and a renewed interest in LIDAR sensors that is driving down the cost and making the technology more accessible.

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  • Thin-Film Optical Components for Use in Non-Linear Optical Systems

    Alluxa Engineering Staff, April 2016

    Dispersion controlled thin films boost the performance of NLO systems that utilize a femtosecond laser.

    Some of the greatest recent advances seen in bio-imaging and detection are due to techniques that utilize non-linear optical (NLO) phenomena. These techniques have led to a Nobel prize, super-resolution images, label-free visualization of naturally occurring biomolecules, and greater freedom for working with in-vivo samples. Many NLO systems rely on the high peak pulse intensity of femtosecond lasers for signal generation. For this reason, the optical filters and mirrors integrated into these systems must have an appropriate laser damage rating, and the reflective components must be controlled for both group delay dispersion (GDD) and flatness. Choosing optical components that are specifically designed for NLO systems will ensure optimal signal strength, resolution, and image quality.

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  • Multiband Filters Redefine Performance Standards Across Disciplines

    Alannah Johansen, Amber Czajkowski, Mike Scobey, Peter Egerton, and Rance Fortenberry, PhD, June 2016

    Advances in thin-film technology have given rise to new classes of multiband filters that redefine performance standards and drive innovation across a variety of disciplines.

    Multiband filters can be categorized into a variety of classes that each presents its own set of fabrication challenges, placing limits on what is practically achievable and affecting the reliability of the thin-film manufacturing process. By understanding the scientific and industrial applications for multiband filters, the various filter classes and manufacturing possibilities are better understood.

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  • Next-Generation Thin-Film Optical Filters for Life Sciences

    Next-generation thin-film optical filters enhance excitation and emission in fluorescence imaging and detection systems.

    Fluorescence based systems have revolutionized the way organisms, cells, and biomolecules are visualized and detected. However, challenges that are common in these instruments, such as bleedthrough, background autofluorescence, and poor signal-to-noise ratios (S/N), can reduce performance and lead to frustration.

    Fortunately, performance and signal quality can be greatly improved by integrating next-generation thin-film optical filters into fluorescence based instruments. Because proper optical filtering boosts throughput and enables wide-scale blocking, it solves problems like backscatter and poor signal quality, resulting in bright, high-contrast images of the target molecules.

    Because system performance greatly depends on filter quality, optical filters are arguably the most important component of any fluorescence based instrument. With that in mind, here are some important concepts that should be considered when selecting optical filters for a fluorescence based system.

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  • Ultra-Narrowband Optical Bandpass Filters with Large Format and Improved Temperature Stability

    Michael Scobey, Peter Egerton, Rance Fortenberry, and Amber Czajkowski

    Sophisticated monitor and deposition methods enable multi-cavity narrowband filters that push the envelope of performance.

    Hard coated ultra-narrowband optical filters made using modern plasma processes offer much improved transmission, temperature stability and out of band blocking as compared to legacy soft coatings. These filters are used in optical systems as diverse as LIDAR (light detection and ranging), Doppler shift detection of plasma velocity, laser cleanup, chemical and gas sensing, as well as for cutting-edge astronomy and instrumentation applications.

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  • Advanced Plasma Deposition Improves Ultra Narrowband Optical Filters

    Published in SPIE Optical Design & Engineering December 18th, 2013.

    Michael Scobey, Peter Egerton and Rance Fortenberry

    A novel computer-controlled deposition system for multicavity filters improves their spectral precision and contrast.

    Narrowband filters are a critical technology for a variety of applications such as lidar (light detection and ranging), laser cleanup, chemical and gas sensing, instrumentation, and astronomy. The design principles are well known and relatively simple. All designs rely on stacked Fabry-Pérot resonant cavities with dielectric reflectors composed of layers a quarter of a wavelength thick, spaced apart by cavities multiple half-wavelengths across. Several cavity filters are used in combination to ‘square up’ the spectral wave shape, resulting in the transmitted light having a ‘flat-topped’ spectrum when compared with that from light passed through single-cavity filters, which has a sharp, peaked spectral shape. Such multicavity filters also have much steeper rejection responses than single-cavity filters: the less-steep spectral slopes of single-cavity filters can compromise signal-to-noise in narrowband detection.

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  • Precision Infrared Narrow Bandpass and Dual Bandpass Filters Featuring Low OH-Band Absorption

    Alluxa Engineering Staff, June 2013

    Alluxa’s new precision infrared bandpass and dual bandpass filter technology brings new levels of performance with higher transmissions, steeper slopes, and flatter pass bands than traditional evaporated coatings.

    Alluxa’s new class of Infrared (IR) bandpass and dual band filters bring the precision of dielectric filters to the IR between 2 and 5 microns. They are manufactured with an advanced, plasma enhanced PVD process using durable, hard metal-oxide, and durable semiconductor front surface thin films. The films have excellent environmental stability. The OH (water) band at 2.7 microns shows loss below the measurement limit even after 10 days of harsh Mil-810G temperature and humidity cycling.

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