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
Link To Document