Benefits of automation

Automation leads to better data, better results, and better science. By automating everything from instrument alignments to image tuning to experiment workflows, researchers can spend more time on their inquiries and less time tuning their instruments—as they work to produce the highest-quality results in the shortest amount of time. Automation contributes to:

  • Increased productivity: Automation enables researchers to perform faster, higher-quality experiments, while getting the most use from their instruments.
  • Broader accessibility: Automation extends scientific experiments to a broader num>>ber of users, and exposes researchers to advanced tasks they wouldn’t normally use.
  • Improved data confidence: Automation helps users achieve consistent results with limited human error—leading to more reliable and repeatable data.

 

 

 

 

On-demand automation webinar series

Watch our on-demand webinar series, “Materials Characterization Excellence Through Automation” to see how automation tools can take your materials science research to the next level.

The six-part series covers the following topics:

Achieve Higher Performance with your Microscope with Minimal Effort Using Automated Alignments

Presenter: Alice Scarpellini, MS, Thermo Fisher Scientific

Key learning objectives:

  • Why automation is key in today’s remote work environment
  • How optimized and aligned tools can improve accessibility and ease-of-use
  • How microscopes can achieve consistent and reproducible results every time
  • How automated alignments, diagnostics, and updates guarantee a superior level of robustness

The Power of Scripting with a Desktop SEM

Presenter: Ruud Bernsen, BSc, Thermo Fisher Scientific

Key learning objectives:

  • How scripting works on a Thermo Fisher Scientific Phenom Desktop SEM
  • How automation saves you valuable time
  • How automation and scripting improve your results




Automated Particle Size Analysis for TEM

Presenter: Maarten Wirix, PhD, Thermo Fisher Scientific

Key learning objectives:

  • How to run your TEM 24/7 – unattended
  • How to significantly improve repeatability of your particle analysis on the nm scale
  • How to remove repetitive manual analysis and operator bias
  • How to quickly acquire statistics


Unattended FIB Serial Sectioning Tomography for 3D Characterization Using Auto Slice and View 4

Presenter: Brandon Van Leer, MS, Thermo Fisher Scientific

Key learning objectives:

  • How DualBeam FIB-SEM is used to automatically acquire serial sectioning data for 3D characterization
  • Understand the most common sample preparation techniques for FIB-SST in a DualBeam
  • How FIB-SST data is used to generate representative 3D reconstructions for real-world materials

Efficient Multi-Technique Surface Analysis Through Automation

Presenter: Robin Simpson, EngD, Thermo Fisher Scientific

Key learning objectives:

  • How developments in new instrument design make collecting data easier
  • Why using more than one surface analysis technique increases your understanding of a sample
  • How automation helps smoothen multi-technique surface analysis

Enabling Artificial Intelligence for Future (S)TEM Applications

Presenter: Eric Van Cappellen, PhD, Thermo Fisher Scientific

Key learning objectives:

  • Key features and benefits of using a Python based scripting interface product to access the microscope
  • Examples of how AI can improve Materials Science applications in (S)TEM
  • How the Thermo Fisher Scientific “AI inside” already makes a difference for semiconductor (S)TEM applications today
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