Tags: scanning electron microscopy (SEM)

Online Presentations (1-20 of 22)

  1. Alternative Hitachi SEM Techniques

    Online Presentations | 17 May 2022

    Robert Passeri, Hitachi engineer, discusses STEM and low kV imaging techniques with the Hitachi SEM S4800.

  2. Characterization - Scanning Electron Microscopy

    Online Presentations | 11 Jan 2022 | Contributor(s):: Atilla Ozgur Cakmak, NACK Network

  3. Charged-Particle Interaction Analysis

    Online Presentations | 07 Jan 2022 | Contributor(s):: Atilla Ozgur Cakmak, NACK Network

    Scanning Electron Microscopy (SEM) has traditionally been the most frequently used micro-/nano- characterization technique to overcome the optical losses coming from lenses. In this talk we are going to begin by discussing the fundamental blocks of an SEM starting from the electron beam emission....

  4. Electron Microscopy

    Online Presentations | 24 Aug 2018 | Contributor(s):: Sebastien Maeder, NACK Network

    OutlineScanning Electron MicroscopyField Emission Scanning Electron MicroscopyTransmission Electron MicroscopyEnergy Dispersive Spectroscopy

  5. Fundamentals of Metrology and Characterization for Nanotechnology

    Online Presentations | 13 Mar 2019 | Contributor(s):: Diane Hickey-Davis, NACK Network

    Outline:How do we see what we can’t see?Five common nanotech instrumentsFor each, I’ll cover:What it doesHow it worksWhere it’s used in IndustryWhat subjects you can teach with itWhat skills your students can learn from it

  6. Gr-ResQ Tutorial I: Introduction and Framework

    Online Presentations | 03 Jun 2021 | Contributor(s):: Mitisha Surana

  7. Gr-ResQ Tutorial II: Tool Demonstration and Training

    Online Presentations | 04 Jun 2021 | Contributor(s):: Mitisha Surana

  8. Gr-ResQ Tutorial III: Machine Learning and Beyound

    Online Presentations | 03 Jun 2021 | Contributor(s):: Mitisha Surana

  9. Hands On(line) Lab Education with Remote SEM

    Online Presentations | 27 Sep 2021 | Contributor(s):: Zackary Gray, Robert Ehrmann, NACK Network

    In a year where remote communication and learning has become a necessity, delivering hands-on activities has remained a challenge. During this webinar we will present methods in which students can operate advanced scientific instrumentation without ever needing to leave their home. The...

  10. Illinois nanohour Seminar: Rapid Label Free Detection of Rotavirus using Photonic Crystal Biosensors

    Online Presentations | 05 Mar 2009 | Contributor(s):: Leo L Chan

    Rapid Label-free Detection of Rotavirus using Photonic Crystal Biosensors Presentation Outline Rotavirus Current Detection Method Label-based versus label-free assay Photonic Crystal (PC) Biosensor Biosensor Fabrication Biosensor Operation Assay Protocol Titration Series Comparison with ELISA...

  11. Image Segmentation for Graphene Images

    Online Presentations | 29 Apr 2020 | Contributor(s):: Joshua A Schiller

    This lecture outlines the need for a fast, automated means for identifying regions of images corresponding to graphene. Simple methods, like color masking and template matching, are discussed initially. Unsupervised clustering methods are then introduced as potential improvements...

  12. Integrated Imaging: Creating Images from the Tight Integration of Algorithms, Computation, and Sensors

    Online Presentations | 21 Apr 2015 | Contributor(s):: Charles Addison Bouman

    This talk presents some examples of state-of-the-art integrated imaging systems based on computed tomography (CT), transmission electron microscopy (STEM), synchrotron beam imaging, optical sensing, and scanning electron microscopy (SEM). For each of these examples, we also explore their use and...

  13. Introduction to Scanning Electron Microscopy (SEM)

    Online Presentations | 10 Oct 2018 | Contributor(s):: Sebastien Maeder, NACK Network

  14. Lecture 9: X-ray Structure and FIONA

    Online Presentations | 07 Apr 2008 | Contributor(s):: Paul R Selvin

    Accuracy vs. Resolution Measuring atomic distances Biomolecular Motors: Intra- AND Extra-Cellular Motion

  15. Like Driving a Car: Acquiring Quality SEM/FESEM Images in Different Situations

    Online Presentations | 19 Oct 2022 | Contributor(s):: Bangzhi Liu, NACK Network

    Getting good SEM/FESEM images is dependent on both the sample conditions (conductivity, bulk vs. thin film, etc) and the instrument’s imaging parameters (e.g., beam voltage, beam current, working distance, detector, etc).  This webinar will simplify and explain the complex nature...

  16. ME 290R Lecture 2.2: Lithography Performance Criteria - Technical (Yield Modeling)

    Online Presentations | 22 Mar 2019 | Contributor(s):: Taylor, Hayden

    Ways to evaluate a lithography process. Topics include: resolution; line edge roughness; overlay capability; throughput; cost of ownership; capital cost; energy consumption and environmental impact (e.g. solvent usage; material wastage); pattern dependencies.

  17. RAIN Network: Scanning Electron Microscope

    Online Presentations | 19 Sep 2022 | Contributor(s):: Paul D. Asimow, The Micro Nano Technology - Education Center

  18. The Use of Probes, Beams, and Waves for Characterization at the Nano-Scale

    Online Presentations | 19 Jul 2018 | Contributor(s):: Stephen J. Fonash, NACK Network

    OutlineThe tools for characterizing materials and structures at the nano-scaleProbesPhoton beamsElectron beamsIon beamsAcoustic waves

  19. U-Net Convolutional Neural Networks for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

    Online Presentations | 26 Jan 2021 | Contributor(s):: Aagam Rajeev Shah

    This tutorial introduces you to U-Net, a popular convolutional neural network commonly developed for image segmentation in biomedicine. Using an assembled data set, you will learn how to create and train a U-Net neural network, and apply it to segment scanning electron microscopy images of...

  20. Unsupervised Clustering Methods for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

    Online Presentations | 19 Jan 2021 | Contributor(s):: Aagam Rajeev Shah

    This tutorial will introduce you to some basic image segmentation techniques driven by unsupervised machine learning techniques such as the Gaussian mixture model and k-means clustering. You will learn how to implement k-means clustering and template matching, and use these to segment a...