Automatic drift compensation for nanoscale imaging using feature point matching

Author:

Diao Zhuo1ORCID,Ueda Keiichi12ORCID,Hou Linfeng1ORCID,Yamashita Hayato1ORCID,Custance Oscar3ORCID,Abe Masayuki1ORCID

Affiliation:

1. Graduate School of Engineering Science, Osaka University 1 , 1-3 Machikaneyama, Toyonaka, Osaka 560-0043, Japan

2. Tokyo Metropolitan Industrial Technology, Research Institute 2 , 2-4-10 Aomi, Kotoku, Tokyo 135-0064, Japan

3. National Institute for Materials Science (NIMS) 3 , 1-2-1 Sengen, Tsukuba, Ibaraki 305-0047, Japan

Abstract

An implementation of drift compensation for imaging at the nanoscale is presented. The method is based on computer vision techniques and hence applicable to any microscope that generates images through a computer interface. The algorithm extracts and matches pairs of feature points from consecutive images to compute and compensate for probe–sample misalignments over time. The protocol also applies selection rules that enable it to withstand significant changes in image contrast. We demonstrate our fully automatic implementation by continuously imaging the same area of a Si(100) surface at the atomic scale with scanning probe microscopy over a period of 25 h at room temperature, showing that the method is robust even under the presence of non-linear drift or spontaneous changes of the probe apex. We apply our method to study the movement of pairs of tin atoms confined within a half-unit cell of the Si(111)-(7 × 7) surface and estimate the energy barrier for their diffusion at room temperature.

Funder

Japan Society for the Promotion of Science

Japan Society for the Promotion of Science London

National Institute for Materials Science

JST SPRING

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

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