Kelvin probe force microscopy: measurement data reconstruction

Torsten Machleidt; Erik Sparrer; Tim Kubertschak; Rico Nestler; Karl-Heinz Franke

doi:10.1117/12.821787

22 May 2009 Kelvin probe force microscopy: measurement data reconstruction

Torsten Machleidt, Erik Sparrer, Tim Kubertschak, Rico Nestler, Karl-Heinz Franke

Proceedings Volume 7378, Scanning Microscopy 2009; 73781C (2009) https://doi.org/10.1117/12.821787
Event: SPIE Scanning Microscopy, 2009, Monterey, California, United States

Abstract

The Kelvin Probe Force Microscopy (KPFM) is a method to detect the surface potential of micro- and nanostructured samples using a common Scanning Probe Microscope (SPM). The electrostatic force has a very long range compared to other surface forces. By using SPM systems the KPFM measurements are performed in the noncontact region at surface distances greater than 10 nm. In contrast to topography measurement, the measured data is blurred. The KPFM signal can be described as a convolution of an effective surface potential and a microscope intrinsic point spread function, which allows the restoration of the measured data by deconvolution. This paper deals with methods to deconvolute the measured KPFM data with the objective to increase the lateral resolution. An analytical and a practical way of obtaining the point spread function of the microscope was compared. In contrast to other papers a modern DoF-restricted deconvolution algorithm is applied to the measured data. The new method was demonstrated on a nanoscale test stripe pattern for lateral resolution and calibration of length scales (BAM-L200) made by German Federal Istitute for Materials Research and Testing.

Citation Download Citation

Torsten Machleidt, Erik Sparrer, Tim Kubertschak, Rico Nestler, and Karl-Heinz Franke "Kelvin probe force microscopy: measurement data reconstruction", Proc. SPIE 7378, Scanning Microscopy 2009, 73781C (22 May 2009); https://doi.org/10.1117/12.821787

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available