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  • Control of Ultrafast Non-Linear Interactions in Materials and Plasmonic Nanostructures

    Research in the lab of Haim Suchowski generally centers around controlling ultrafast optical processes on the nanoscale. One of the labs main projects investigates the non-linear interaction of plasmonic nanostructures with ultrashort laser pulses with temporal width of 6-20fs.

  • Scientific CMOS (sCMOS) Cameras: The Basics

    Complementary metal-oxide-semiconductor (CMOS) sensors are a technology that has been around since the 1990s. Early CMOS cameras were competing with the more mature CCD technology, but over the 1990s and early 2000s CMOS sensor technology improved to the point where CCD technology was overtaken to become the sensor of choice for consumer digital cameras.

  • Measuring Fusion Plasmas Using Spectroscopy

    The fusion diagnostics and control group led by Ted Biewer at Oak Ridge National Laboratory specializes in measuring and monitoring properties of plasmas in fusion experiments. We talked to Drew Elliott, a scientist in the group: “What we do in our group is develop and operate diagnostics to better characterize a lot of these experiments.”

  • Real-Time Imaging of Singlet Oxygen via Microspectroscopy

    Molecular oxygen is one of the most important molecules in maintaining life as well as in mechanisms by which life is extinguished and materials destroyed.

  • Measuring Large Scale Interactions Between Surfaces with nm Precision to Better Understand Geological Formations

    Although we perceive geological processes on macroscopic length scales, the mechanical behavior of geological structures can be significantly influenced by the microscopic mineral structure of rocks as well as the micro-scale interactions at the contacting mineral surfaces. Microscopic and nanoscale spaces between mineral grains often contain fluids and water that can reactively erode or deposit material, e.g. by promoting crystallization processes.

  • Deep Depleted CCD Cameras for Raman Spectroscopy In vivo and Medical Diagnostics

    Raman spectroscopy is an important measurement technique in life sciences and biotechnology, from nanoscale experiments analyzing the structure of single biochemical molecules to detection of disease and monitoring properties of tissue.

  • Introduction to Raman Spectroscopy

    Raman spectroscopy is an optical scattering technique that is widely used for the identification of materials and the characterization of their properties. It is commonly applied in material science, chemistry, physics, life science and medicine, the pharmaceutical and semiconductor industries, process and quality control and forensics.

  • TECHNOLOGY INNOVATION

    FLIR’s constant innovation in sensor hardware and software results in industry leading accuracy.

  • Best Practices: Training a Deep Learning Neural Network

    If developers need to run deep learning inference on a system with highly limited resources, they can optimize the trained neural network accordingly and eliminate the need for a host system. Much smaller devices like the upcoming FLIR® Firefly® camera can run inference based on your deployed neural network on its integrated Movidius™ Myriad™ 2 processing unit. This article describes how to develop a dataset for classifying and sorting images into categories, which is the best starting point for users new to deep learning.

  • Comparing VPUs, GPUs, and FPGAs for Deep Learning Inference

    A key decision when getting started with deep learning for machine vision is what type of hardware will be used to perform inference. Graphics Processing Units (GPUs), Field Programmable Gate Arrays (FPGAs), and Vision Processing Units (VPUs) each have advantages and limitations which can influence your system design.

  • Complete off the shelf 3D system

    High Definition Imaging (HDI) 3D Scanner which produces a digital 3D scan from physical objects in less than two seconds.

  • SIM and iSIM

    One of the goals of biological microscopy is to observe and analyze biological processes and structures on the subcellular scale. However, the size of the smallest structures that can be observed is set by the diffraction limit of light, meaning no detail can be resolved smaller than around 250 nm.