Paper
1 November 1992 Surface recovery in scanning probe microscopy
Gopal Sarma Pingali, Ramesh C. Jain
Author Affiliations +
Proceedings Volume 1823, Machine Vision Applications, Architectures, and Systems Integration; (1992) https://doi.org/10.1117/12.132072
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
Scanning probe microscopy (SXM), which includes techniques such as scanning tunneling microscopy (STM) and scanning force microscopy (SFM), is becoming increasingly popular for analyzing surface structure at the sub-micron level. As the probe used for scanning is non- ideal, the image output by SXM is dependent on the shape and size of the probe. The use and success of SXM strongly depend on methods for ensuring the accuracy of the images produced by SXM. In this paper, we derive models of the effects of the probe shape geometry on the image produced by SXM. Methods are formulated for recovering the true surface from the imaged surface and for indicating where the surface reconstruction is exact and where it is uncertain. We formulate these methods both for images scanned in a `contact' mode and those scanned in a `non-contact' mode. It is shown that scanning in a non-contact mode by a non- ideal probe is equivalent to scanning in a non-contact mode by an ideal probe followed by scanning in a contact mode by the non-ideal probe. The methods developed in this paper can be used to recover a surface scanned by a scanning probe microscope, given the shape of the probe used for scanning, and for visualizing the scanning and recovery of surfaces by different probe shapes.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gopal Sarma Pingali and Ramesh C. Jain "Surface recovery in scanning probe microscopy", Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); https://doi.org/10.1117/12.132072
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Cited by 14 scholarly publications.
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KEYWORDS
Image restoration

Image processing

Scanning probe microscopy

Scanning tunneling microscopy

Atomic force microscopy

Process modeling

Microscopy

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