Tags: scanning electron microscopy (SEM)

All Categories (1-20 of 57)

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

    18 Nov 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...

  2. RAIN Network: Scanning Electron Microscope

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

  3. Alternative Hitachi SEM Techniques

    17 May 2022 |

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

  4. Butterfly Wing at the Nanoscale

    09 Mar 2022 | | Contributor(s):: NACK Network

    Eliza demonstrates various microscopes and the abilities each offers a user in examining a butterfly wing. Facts about each microscope, and butterflies in general, are offered in an interactive experience designed to engage students of all ages.

  5. Characterization - Scanning Electron Microscopy

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

  6. Charged-Particle Interaction Analysis

    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....

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

    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...

  8. Bishwajite Karmakar

    https://nanohub.org/members/336196

  9. Particle Size and Spectral Analysis of AgNO3 and Cu: Design Challenge Activity

    17 Jun 2021 | | Contributor(s):: John H. Hitchcock, NNCI Nano

    When the traditional silver nitrate reduction by copper is performed, students are often puzzled by the black appearance of the silver when it first is observed. In this activity, students will research two questions about the reaction, develop a viable system of gathering data, and investigate...

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

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

  11. Gr-ResQ (Graphene Rescue) Tool Tutorial & Training

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

    This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the...

  12. Gr-ResQ Tutorial I: Introduction and Framework

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

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

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

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

    01 Feb 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...

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

    27 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...

  16. SEM Image Segmentation Workshop

    12 Jan 2021 | | Contributor(s):: Aagam Rajeev Shah, Darren K Adams, Mitisha Surana, Ricardo Toro, Sameh H Tawfick, Elif Ertekin

    This tool introduces users to machine learning used to segment microscopy images

  17. Resolving Power – Seeing is Understanding

    03 Dec 2020 | | Contributor(s):: Edward Lawrence, NNCI Nano

    This lesson introduces students to light microscopes and their limitations in viewing small features and objects.  In addition, they will learn about more powerful imaging tools by understanding the principles of operation of electron and atomic force microscopes. As a culminating...

  18. Nov 10 2020

    Hands On(line) Lab Education with Remote SEM

    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...

    https://nanohub.org/events/details/1876

  19. Image Analysis Program for Quantifying Nanosphere Lithography Packing Defects

    21 Jul 2020 | | Contributor(s):: Takara Truong, Roseanne Warren

    This download resource provides MATLAB code files for scanning electron microscopy image analysis of nanosphere packing defects. The program enables users to estimate the total number of nanospheres in an image, the number of non-hexagonally close-packed (HCP) spheres, and the % of spheres...

  20. SEM Image Segmentation Tutorial using SEM Image Processing Tool

    16 Jun 2020 | | Contributor(s):: Joshua A Schiller

    In this activity, students will learn about the use of image processing methods to analyze Scanning Electron Microscopy images using a technique known as Image Segmentation and the SEM Image Processing Tool. The purpose of this tutorial is demonstrate several methods for image masking:...