• DocumentCode
    3517631
  • Title

    Automated nanoprobing under scanning electron microscopy

  • Author

    Zheng Gong ; Chen, Brandon K. ; Jun Liu ; Yu Sun

  • Author_Institution
    Adv. Micro & Nanosyst. Lab., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    1433
  • Lastpage
    1438
  • Abstract
    Nanomanipulation inside electron microscopes enables a multitude of precision applications. The semiconductor industry employs this capability to probe sub-micrometer-sized features to evaluate the performance of integrated circuits (IC) for design/quality monitoring. In electron microscopy imaging, the use of low accelerating voltages and high magnifications, as required for IC nanoprobing tasks, results in significant image noise and drift. This paper presents automated nanoprobing with a nanomanipulation system inside a standard scanning electron microscope (SEM). We achieved SEM image denoising and drift compensation in real time. This capability is necessary for achieving robust visual tracking and servo control of nanoprobes for probing nanostructures in automated operation. This capability also proves highly useful to conventional manual operation by rendering real-time SEM images that have little noise and drift. The automated system probed nanostructures on an SEM metrology chip as surrogates of electronic features on IC chips. Success rates in visual tracking and Z-contact detection under various imaging conditions were quantitatively discussed. The experimental results demonstrate the system´s capability for automated probing of nanostructures under IC-chip-probing relevant EM imaging conditions.
  • Keywords
    electron microscopes; image denoising; nanostructured materials; nanotechnology; scanning electron microscopy; semiconductor industry; EM imaging conditions; IC chip probing; IC chips; IC nanoprobing tasks; SEM image denoising; SEM metrology chip; Z contact detection; automated nanoprobing; automated probing; automated system; design/quality monitoring; drift compensation; electron microscopes; electron microscopy imaging; image noise; integrated circuits; nanomanipulation system; nanoprobes; nanostructures; precision applications; robust visual tracking; scanning electron microscope; scanning electron microscopy; semiconductor industry; servo control; submicrometer sized features; Automation; Noise; Noise reduction; Probes; Scanning electron microscopy; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2013 IEEE International Conference on
  • Conference_Location
    Karlsruhe
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-5641-1
  • Type

    conf

  • DOI
    10.1109/ICRA.2013.6630759
  • Filename
    6630759