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Measurement of shape and deformation of MEMS at the wafer level

Published online by Cambridge University Press:  01 February 2011

Cosme Furlong ,
Curtis F. Ferguson ,
Michael J. Melson  and
Ryszard J. Pryputniewicz
Cosme Furlong
Affiliation:
NEST – NanoEngineering, Science, and Technology CHSLT – Center for Holographic Studies and Laser micro-mechaTronics Mechanical Engineering Department Worcester Polytechnic Institute Worcester, MA 01609, U.S.A.
Curtis F. Ferguson
Affiliation:
NEST – NanoEngineering, Science, and Technology CHSLT – Center for Holographic Studies and Laser micro-mechaTronics Mechanical Engineering Department Worcester Polytechnic Institute Worcester, MA 01609, U.S.A.
Michael J. Melson
Affiliation:
NEST – NanoEngineering, Science, and Technology CHSLT – Center for Holographic Studies and Laser micro-mechaTronics Mechanical Engineering Department Worcester Polytechnic Institute Worcester, MA 01609, U.S.A.
Ryszard J. Pryputniewicz
Affiliation:
NEST – NanoEngineering, Science, and Technology CHSLT – Center for Holographic Studies and Laser micro-mechaTronics Mechanical Engineering Department Worcester Polytechnic Institute Worcester, MA 01609, U.S.A.
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Abstract

One of the approaches to fabrication of MEMS involves surface micromachining to define dies on single crystal silicon wafers, dicing of the wafers to separate the dies, and electronic packaging of the individual dies. Dicing and packaging of MEMS accounts for a large fraction of the fabrication costs, therefore, nondestructive evaluation at the wafer level, before dicing, can have significant implications on improving production yield and costs. In this paper, advances in development of optoelectronic holography (OEH) techniques for nondestructive, noninvasive, full-field of view evaluation of MEMS at the wafer level are described. With OEH techniques, quantitative measurements of shape and deformation of MEMS, as related to their performance and integrity, are obtained with sub-micrometer spatial resolution and nanometer measuring accuracy. To inspect an entire wafer with OEH techniques, measurements of overlapping regions of interest (ROI) on a wafer are recorded and adjacent ROIs are stitched together through efficient 3D correlation analysis algorithms.

Type
Research Article
Information
MRS Online Proceedings Library (OPL) , Volume 782: Symposium A – Micro- and Nanosystems , 2003 , A5.72
Copyright
Copyright © Materials Research Society 2004

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References

REFERENCES

1. Gabriel, K. J., “Engineering microscopic machines,” Scientific American, 273 pp. 118–121, 1995.Google Scholar
2. Hsu, T-R., MEMS & microsystems: design and manufacture, McGraw-Hill, New York, 2002.Google Scholar
3. Pryputniewicz, R. J., Marinis, T. F., Hanson, D. S., and Furlong, C., “New approach to development of packaging for MEMS inertial sensors,” Paper No. IMECE 2001/MEMS-23906, Am. Soc. of Mech. Eng., New York, 2001.Google Scholar
4. Furlong, C. and Pryputniewicz, R. J., Proc. Internat. Symp. on MEMS: Mechanics and Materials, Portland, OR, pp. 28–33, 2001.Google Scholar
5. Furlong, C. and Pryputniewicz, R. J., Opt. Eng., 42(2), pp. 1223–1231, 2003.Google Scholar
6. Hunter, R. and Humphreys, C., Semicon. Int., 26(6), pp. 60–64, 2003.Google Scholar
7. Brown, G. C. and Pryputniewicz, R. J., Opt. Eng., 37:1398–1405, 1998.Google Scholar
8. Pryputniewicz, R. J., de Boer, M. P., and Brown, G. C., Proc. IX Internat. Congress on Exp. Mech., Orlando, FL, pp. 1009–1012, 2000.Google Scholar
9. Pryputniewicz, R. J., Furlong, C., Brown, G. C., Pryputniewicz, E. J., and Seta, M. E., Proc. Internat. Congress on Experimental and Applied Mechanics for Emerging Technologies, Portland, OR, pp. 817–820, 2001.Google Scholar
10. Pryputniewicz, E. J., Angelosanto, J. P., Brown, G. C., Furlong, C., and Pryputniewicz, R. J., Paper No. IMECE2001/EPP-24722, Am. Soc. Mech. Eng., New York, 2001.Google Scholar
11. Starck, J.-L., Murtagh, F., and Bijaoui, A., Image processing and data analysis: the multiscale approach, Cambridge University Press, New York, 1998.Google Scholar
12. Gonzalez, R. C. and Woods, R. E., Digital image processing, Prentice-Hall, Upper Saddle River, New Jersey, 2002.Google Scholar