2005
DOI: 10.1116/1.2101601
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Tip characterization and surface reconstruction of complex structures with critical dimension atomic force microscopy

Abstract: This paper presents the first known image reconstruction of complex probe tip shapes and the removal of those shapes from reentrant topologies that are encountered in critical dimension (CD) measurements. Algorithm improvements are described that enable reentrant image reconstruction. In addition, a solution is presented which eliminates image artifacts that result from noise when using Legendre transform or “slope-matching” reconstruction techniques. The new methods are compared to existing technology and dem… Show more

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Cited by 75 publications
(52 citation statements)
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“…As previously shown, 10 for the temperature range considered in this work, pattern shapes are not significantly modified by a quench. Both usual conic and flared tips 10,11 are used to characterize smooth and steep shapes, respectively ͑Fig. 1͒.…”
Section: Methodsmentioning
confidence: 99%
“…As previously shown, 10 for the temperature range considered in this work, pattern shapes are not significantly modified by a quench. Both usual conic and flared tips 10,11 are used to characterize smooth and steep shapes, respectively ͑Fig. 1͒.…”
Section: Methodsmentioning
confidence: 99%
“…24 Images such as shown in Figs. 1͑a͒, 1͑b͒, and 2͑a͒ obtained by electron microscopy are inputs to algorithms of tip model parametrization.…”
Section: Algorithms Of Tip Model Parametrizationmentioning
confidence: 98%
“…They demonstrated the capability of the conventional AFM technique [16] to image patterned sidewalls through the use of a flared silicon tip in combination with local surface-slope detection in 2D (CD-AFM or AFM3D). Later, in 2005, high-order tip effects were first observed, and must be taken into account during tip-shape extraction [17], after pattern measurements. In 2007, scan enhancements led the CD-AFM technique to become the real 3D-AFM technique, by drastically reducing the sidewall noise level and removing the notching data artifact at the bottom of measured patterns [18].…”
Section: Methodsmentioning
confidence: 99%