Practical Electron Microscopy and Database

An Online Book, Second Edition by Dr. Yougui Liao (2006)

Practical Electron Microscopy and Database - An Online Book

Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

Thermo Fisher Metrios TEM

The advantages and disadvantages of Thermo Fisher Metrios TEM for sample preparation and imaging are:

  • Advantages
    • Automation of TEM Imaging: The use of script-based operations and computer vision for wafer pattern recognition allows for automated processes in TEM preparation and imaging, improving efficiency.
    • Efficiency in Specific Applications: The automation has demonstrated enhanced efficiency, particularly in TEM Critical Dimension (CD) metrology applications, highlighting potential use cases where automation is highly effective.
    • Higher Throughput and Productivity: When integrated with manually assisted defect registration, the automated FIB setup increases throughput and productivity, showing significant gains in inline defect characterization processes.
  • Disadvantages
    • Challenges with Defect Location Variability: Due to the random distribution of defects on wafers, the automation process struggles to precisely target defect locations, making precise TEM lamella creation challenging.
    • High Cost of Automation Scripts for Varying Defect Locations: Developing automation scripts that can adapt to varying defect locations on a wafer is expensive and labor-intensive, potentially diminishing cost-effectiveness.
    • Prone to Human Error: The reliance on conventional pattern recognition in varying defect scenarios can introduce human error, especially in the setup and calibration stages.
    • Limited to Visible Defects: The current automated approach primarily works for visible defects, reducing its applicability to defects that are not easily detectable visually.
    • Occasional Need for Human Intervention: Despite automation, the process occasionally requires manual intervention, indicating that full automation is yet to be achieved and there’s room for further refinement.