Large-scale analysis of high-speed atomic force microscopy data sets using adaptive image processing

• Blake W. Erickson,
• Séverine Coquoz,
• Jonathan D. Adams,
• Daniel J. Burns and
• Georg E. Fantner

Beilstein J. Nanotechnol. 2012, 3, 747–758, doi:10.3762/bjnano.3.84

• obtain a true representation of the sample and its changes over time. This paper presents an automated, adaptive algorithm for the required processing of AFM images. The algorithm adaptively corrects for both common one-dimensional distortions as well as the most common two-dimensional distortions. This

• applicable to all channels of AFM data, and can process images in seconds. Keywords: adaptive algorithm; artifact correction; atomic force microscopy; high-speed atomic force microscope; image processing; Introduction Atomic force microscopes (AFMs) are a useful tool for investigating nanoscale surfaces