Course curriculum

    1. Agenda

    2. Travel and accommodations

    3. Download the essentials

    1. Lesson 1: EELS fundamentals

    2. Lesson 2: EFTEM fundamentals

    3. Lesson 3: Spectrum imaging fundamentals

    4. Lesson 4: Data acquisition - Camera setup and filter tuning

    5. Lesson 5: Data acquisition - EFTEM basics

    6. Lesson 6: Data analysis - Basics of EFTEM images

    7. Lesson 7: Data acquisition - EELS basics

    8. Lesson 8: Data analysis - Basic of EELS spectra

    9. Lesson 9: Data analysis - STEM spectrum imaging example

    1. Lesson 1: Specimen information from EELS

    2. Lesson 2 (Optional): EELS - Zero-loss and low-loss

    3. Lesson 3 (Optional): EELS core-loss, ELNES, and EXELFS

    4. Lesson 4: EELS practical aspects

    5. Lesson 5: Data acquisition - EELS practical aspects - Scattering angle

    6. Lesson 6: Data acquisition - EELS practical aspects - Dispersion

    7. Lesson 7: Data acquisition - EELS practical aspects - GIF entrance aperture

    8. Lesson 8: Data acquisition - EELS practical aspects - Detector parameters

    9. Lesson 9 (Optional): EELS quantification - Introduction

    10. Lesson 10 (Optional): EELS quantification - Choosing edges for analysis

    11. Lesson 11: Data analysis - Basic analysis of EELS spectra

    12. Lesson 12: EELS quantification - Window placement

    13. Lesson 13: Data acquisition - Single EELS quantification

    14. Lesson 14: Data analysis - Quantification of EELS spectra

    15. Lesson 15 (Optional): EELS quantification - Plural scattering

    16. Lesson 16 (Optional): EELS quantification - Convert edge intensities to chemical concentrations

    17. Lesson 17: DualEELS

    18. Lesson 18: Data acquisition - DualEELS

    19. Lesson 19: Data analysis - DualEELS

    20. Lesson 20 (Optional): EELS quantification - Standards

    21. Lesson 21 (Optional): Data analysis - EELS quantification with standards

    1. Lesson 1: EFTEM introduction

    2. Lesson 2: EFTEM - Filter optimization

    3. Lesson 3: Data acquisition - Filter optimization

    4. Lesson 4: EFTEM applications - Contrast enhancement

    5. Lesson 5: Data acquisition - EFTEM applications - Contrast enhancement

    6. Lesson 6: EFTEM applications - Mapping

    7. Lesson 7: Data acquisition - EFTEM applications - Mapping

    8. Lesson 8: Data analysis - Quantification using EFTEM images

    9. Lesson 9: Data analysis - Combining and colorizing maps

    10. Lesson 10: EFTEM applications - Chemical analysis

    11. Lesson 11 (Optional): EFTEM practical aspects

    12. Lesson 12: Data acquisition - EFTEM practical aspects

    13. Lesson 13: Data Analysis - Advanced EFTEM analysis

    14. Lesson 14: EFTEM-SI practical aspects

    15. Lesson 15: Data acquisition - EFTEM SI

    16. Lesson 16: Data analysis - EFTEM-SI data processing

    1. Lesson 2: Data acquisition - Practical SAD and energy filtering

    2. Lesson 4: Data acquisition - STEM setup for 4D STEM

    1. Lesson 1: STEM EELS introduction

    2. Lesson 2: Data acquisition - STEM alignment tool

    3. Lesson 3: Data acquisition - STEM set up and elemental mapping

    4. Lesson 4: Data acquisition - Chemical analysis

    5. Lesson 5 (Optional): STEM EELS SI - Correcting for artifacts and instabilities

    6. Lesson 6: Data acquisition - Using drift correction

    7. Lesson 8: Data acquisition - Sub-pixel scanning and multiple pass

    8. Lesson 9: Data acquisition - Line profile and average dose line profile

    9. Lesson 10: Data analysis - Linescan processing example

    10. Lesson 11: Data acquisition - DualEELS

    11. Lesson 12: Data analysis - ZLP fitting to a low-loss spectrum image

    12. Lesson 13 (Optional): Data analysis - Removal of plural scattering from spectrum images

    13. Lesson 14: Data analysis - DualEELS quantitative mapping

    14. Lesson 15: Advanced SI

    15. Lesson 16 (Optional): Data acquisition - Multimodal spectrum imaging

    16. Lesson 17 (Optional): Data analysis - Multisignal data and STEM SI

    17. Lesson 18: Data acquisition - MultiPoint and time series

About this course

  • Free
  • 68 lessons
  • 11.5 hours of video content

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