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Visualization of buried structures in atomic force acoustic microscopy

 
: Striegler, A.; Köhler, B.; Bendjus, B.; Pathuri, N.; Meyendorf, N.

:

Varadan, V.K. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Nanosensors, microsensors, and biosensors and systems 2007 : 21 - 22 March 2007, San Diego, California, USA
Bellingham, WA: SPIE, 2007 (SPIE Proceedings Series 6528)
ISBN: 978-0-8194-6649-5
Paper 65281B
Conference "Nanosensors, Microsensors, and Biosensors and Systems" <2007, San Diego/Calif.>
English
Conference Paper
Fraunhofer IZFP, Institutsteil Dresden ( IKTS-MD) ()

Abstract
Advanced Scanning Probe Microscopy (SPM) modes such as At. Force Acoustic Microscopy (AFAM) and Ultrasonic Force Microscopy (UFM) combine At. Force Microscopy (AFM) with an excitation of the sample or cantilever by ultrasound. These techniques become increasingly powerful tools for the detn. of material properties on nanoscale. Non-destructive evaluation of subsurface and buried structures is getting more and more important in semiconductor industries and electronics system integration technol. Existing methods that allow subsurface measurements with high local resoln. are mostly based on destructive concepts as surface ablation by Focused Ion Beam (FIB) devices. It is widely discussed in literature that AFAM and UFM techniques should have the capability to detect subsurface features. But direct proofs of this capability are hard to find. The difficulty comes from the point that in UFM and AFAM images besides elastic contrast also topol. contrast is mixed in. So, for a direct proof samples are needed which (a) show subsurface contrast and (b) having definitely no surface topol. correlated with the subsurface feature in question. These samples are not so easy to obtain. An appropriate sample fabrication technol. was developed based on the focussed ion beam technique. Using the machined samples the buried structure visibility for the AFAM technique could be proved uniquely. The results are compared with conclusions from modeling.

: http://publica.fraunhofer.de/documents/N-74278.html